AC14.7.2016
Item No. 4.24
UNIVERSITYOFMUMBAI
Revised Syllabus for the M. E. Program
Program: M. E. (Mechanical)
CAD CAM and Robotics
(As per Choice Based Credit System with effect from
the academic year 2016–2017)
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 2 From Co-ordinator’s Desk:-
To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to
be addressed, debated taken forward in a systema tic manner. Accreditation is the principal means of
quality assurance in higher education. The major em phasis of accreditation process is to measure the
outcomes of the program that is being accredited. In line with this, Faculty of Technology of
University of Mumbai has taken a lead in incorpor ating philosophy of outcome based education in the
process of curriculum development.
Faculty of Technology, University of Mumbai, in one of its meetings unanimously resolved that, each Board of Studies shall prepare some Program Ed ucational Objectives (PEOs), give freedom to
Affiliated Institutes to add few (PEOs), course obj ectives course outcomes to be clearly defined for
each course, so that all faculty members in affili ated institutes understand the depth of approach of
course to be taught, which will enhance learner’s learning process. It was also resolved that,
maximum senior faculty from colleges and experts from industry are to be involved while revising the curriculum. I am happy to state that, each Board of studies has adhered to the resolutions passed
by Faculty of Technology and developed curricu lum accordingly. In addition to outcome based
education, Choice Based Credit System is also introduced to ensure quality of engineering
education.
Choice Based Credit and Grading System enables a much-required shift in focus from teacher-centric
to learner-centric education, since the workload estimated is based on the investment of time in
learning and not in teaching. It also focuses on continuous evaluation which will enhance the quality
of education. University of Mumbai has taken a le ad in implementing the system through its affiliated
Institutes. Faculty of Technology has devised a transparent credit assignment policy, adopting a ten
point scale to grade learner’s performance. Choice Based Credit and Grading System is implemented
for Master of Engineering from the academic year 2016-2017.
Dr. S. K. Ukarande
Co-ordinator,
Faculty of Technology,
Member - Academic Council
University of Mumbai, Mumbai
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 3 Chairman’s Preamble:
Engineering education in India is expanding and is set to increase manifold. The major challenge in
the current scenario is to ensure quality to the stakeholders along with expansion. To meet this
challenge, the issue of quality needs to be addr essed, debated and taken forward in a systematic
manner. Accreditation is the principal means of quality assurance in higher education and reflects the
fact that in achieving recognition, the institution or program of study is committed and open to
external review to meet certain minimum speci fied standards. The major emphasis of this
accreditation process is to measure the outcomes of the program that is being accredited. Program outcomes are essentially a range of skills and knowledge that a student will have at the time of
graduation from the program. In line with this Faculty of Technology of University of Mumbai has
taken a lead in incorporating the philosophy of out come based education in the process of curriculum
development.
As the Chairman, Board of Studies in Mechanical Engineering of University of the Mumbai, I am happy to state here that, the Program Educational Ob jectives for Postgraduate Program were finalized
in a brain storming session, which was attended by more than 20 members from different affiliated
Institutes of the University. They are either Heads of Departments or their senior representatives from
the Department of Mechanical Engineering. The Program Educational Objectives finalized for the
postgraduate program in Mechanical Engineering are listed below;
1. To prepare the Learner with a sound foundation in the mathematical, scientific and
engineering fundamentals.
2. To prepare the Learner to use modern tools effectively in order to solve real life problems.
3. To prepare the Learner for a successful career in Indian and Multinational Organisations
4. To encourage and motivate the Learner in the art of self-learning.
5. To inculcate a professional and ethical attit ude, good leadership qualities and commitment to
social responsibilities in the Learner’s thought process.
In addition to the above, 2 to 3 more program e ducational objectives of their own may be added by
affiliated Institutes.
In addition to Program Educational Objectives, fo r each course of postgraduate program, objectives
and expected outcomes from a learner’s point of view are also included in the curriculum to support
the philosophy of outcome based education. I strongly believe that even a small step taken in the right direction will definitely help in providing quality education to the major stake holders.
Dr. S. M. Khot
Chairman, Board of Studies in Mechan ical Engineering, University of Mumbai
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 4
Program Structure for
ME Mechanical Engineering (CAD/CAM and Robotics)
Mumbai University
(With Effect from 2016-2017)
Semester I
Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Theory Pract Total
CCC101 Computer Aided Design 04 -- 04 -- 04
CCC102 Control Engineering 04 -- 04 -- 04
CCC103 Mechatronics 04 -- 04 -- 04
CCDLO
101X Department Level Optional
Course I 04 -- 04 -- 04
ILO101X Institute Level Optional
Course I 03 -- 03 -- 03
CCL101 Laboratory I -
CAD and Computer Aided
Engineering -- 02 -- 01 01
CCL102 Laboratory II -
Mechatronics and Robotics -- 02 -- 01 01
Total 19 04 19 02 21
Subject
Code Subject Name Examination Scheme
Theory
Term
Work Pract
/Oral TotalInternal Assessment
End
Sem
Exam Exa
m
Dura
tion
(Hrs) Test1 Test 2 Avg
CCC101 Computer Aided Design 20 20 20 80 03 -- -- 100
CCC102 Control Engineering 20 20 20 80 03 -- -- 100
CCC103 Mechatronics 20 20 20 80 03 -- -- 100
CCDLO
101X Department Level
Optional Course I 20 20 20 80 03 -- -- 100
ILO101X Institute Level Optional
Course I 20 20 20 80 03 -- -- 100
CCL101 Laboratory I -
CAD and Computer Aided
Engineering -- -- -- -- -- 25 25 50
CCL102 Laboratory II -
Mechatronics and Robotics -- -- -- -- -- 25 25 50
Total 100 100 100 400 50 50 600
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 5
Course Code Department Level
Optional Course I Course
Code Institute Level Optional Course I
CCDLO1011 Product Design ILO1011 Product Lifecycle Management
CCDLO1012 Simulation and Modeling ILO1012 Reliability Engineering
CCDLO1013 Artificial Intelligence and
Expert Systems ILO1013 Management Information System
CCDLO1014 Advanced Finite Element
Analysis ILO1014 Design of Experiments
ILO1015 Operation Research
ILO1016 Cyber Security and Laws
ILO1017 Disaster Management and Mitigation
Measures
ILO1018 Energy Audit and Management
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 6
Semester II
Course
Code Course Name Teaching
Scheme
(Contact
Hours) Credits Assigned
Theor
y Pract Theory Pract Total
CCC201 Robotics 04 -- 04 -- 04
CCC202 Advanced Manufacturing
Technology 04 -- 04 -- 04
CCC203 Computer Aided Machining
(CAM) 04 -- 04 -- 04
CCDLO
201X Department Level Optional Course
II 04 -- 04 -- 04
ILO201X Institute Level Optional Course II 03 -- 03 -- 03
CCL201 Laboratory III –CAM -- 02 -- 01 01
CCL202 Laboratory IV -Rapid
Manufacturing -- 02 -- 01 01
Total 19 04 19 02 21
Subject
Code Subject Name Examination Scheme
Theory
Term
Work Pract
/Oral TotalInternal Assessment
End
Sem
Exam Exa
m
Dura
tion
(Hrs) Test1 Test 2 Avg
CCC201 Robotics 20 20 20 80 03 -- -- 100
CCC202 Advanced Manufacturing
Technology 20 20 20 80 03 -- -- 100
CCC203 Computer Aided
Machining (CAM) 20 20 20 80 03 -- -- 100
CCDLO
202X Department Level
Optional Course II 20 20 20 80 03 -- -- 100
ILO202X Institute Level Optional
Course II 20 20 20 80 03 -- -- 100
CCL201 Laboratory III –CAM -- -- -- -- -- 25 25 50
CCL202 Laboratory IV -Rapid
Manufacturing -- -- -- -- -- 25 25 50
Total 100 100 100 400 50 50 600
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 7
Course Code Department Level
Optional Course II Course
Code Institute Level Optional Course II
CCDLO2021 Smart Materials ILO2021Project Management
CCDLO2022 Rapid Manufacturing ILO2022Finance Management
CCDLO2023 MEMS ILO2023Entrepreneurship Development and
Management
CCDLO2024 Optimization ILO2024Human Resource Management
ILO2025Professional Ethics and CSR
ILO2026Research Methodology
ILO2027IPR and Patenting/ IP Management
ILO2028Digital Business Management
ILO2029Environmental Management
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 8 Semester III
Course
Code Course Name Teaching
Scheme
(Contact
Hours) Credits Assigned
Theory Pract Theory Pract Total
CCS301 Seminar -- 06 -- 03 03
CCD302 Dissertation I -- 24 -- 12 12
Total -- 30 -- 15 15
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract/
Oral Total Internal Assessment End
Sem
Exam Test1 Test 2 Avg
CCS301 Seminar -- -- -- -- 50 50 100
CCD301 Dissertation I -- -- -- -- 100 -- 100
Total -- -- -- 150 50 200
Semester IV
Course
Code Course Name Teaching
Scheme
(Contact
Hours) Credits Assigned
Theory Pract Theory Pract/Oral Total
CCD401 Dissertation II -- 30 -- 15 15
Total -- 30 -- 15 15
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract/Oral TotalInternal Assessment End
Sem
Exam Test1 Test 2 Avg
CCD401 Dissertation II* -- -- -- -- 100 100 200
Total -- -- -- -- 100 100 200
*Seminar of Semester III and Dissertation II of Semester IV should be assessed jointly by the
pair of Internal and External Examiners
Note- The Contact Hours for the calculation of load of teacher are as follows
Seminar - 01 Hour / week / student
Project I and II - 02 Hour / week / student
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 9
CourseCode Course Name Credits
CCC101 Computer Aided Design 04
Course Prerequisites:
1. Linear Algebra – Basics of Matrix Multiplication and Coordinate Geometry
2. Good programming skills
Objectives:
1. Learn the rudiments of Computer Aided Design (CAD) and CAD systems.
2. Use 3D modeling software to accurately generate and easily modify graphical
representations of the product
3. Enable the use of efficient product data management techniques.
4. Enable the use of programming languages to program various algorithms for problem
solving—related to generation of computer graphics and application to engineering
design process.
Outcomes: Upon completion of the course, learner should be able to—
1. Integrate the role of graphic communication in the engineering design process.
2. Use algorithmic foundation for solving pr oblems by writing computer programs.
3. Implement 2D and 3D transformations for positioning/shaping objects, or to change viewing
positions, or even to change how somethi ng is viewed (e.g. perspective projections)
4. Formulate the parametric representation of standard conic shapes, 2D and 3D freeform curves
and surfaces in the most efficient manner— required for creating complex profiles and geometries.
5. Describe various techniques of computer simulated reality i.e. virtual realism.
Module Detailed content Hours
1 Introduction to Computer Graphics: De finitions, Classification, Architecture
of Interactive Computer Graphics, Applications
Display &Interactive devices
Scan Conversion: Pixel plotting, Scan Conversion of Line, Circle, Ellipse, Parabola, Hyperbola.
Effects of Scan conversion
Polygons: Types, Polygon filling using Boundary fill, edge fill, Flood fill
al
gorithms , Scan conversion with Real Time scan conversion , Run len gth 8
2 Object Transformations: 2D & 3D (Tra nslation, Rotation, Reflection, Scaling,
Shearing); Homogeneous Coordinates, Decomposition of combine d
transformation matrix into basic transformation matrices (limited to three)taken in order 8
3 2-D Viewing & Clipping, 3D Viewing & Clipping
Projections: Parallel &Pers pective Pro jections8
4 Curves: Spline curve, Bezier curve, DeCasteljau Algorithm for generating
Bezier curves (limited to cubic curves), B-Spline curve, NURBS curve Surfaces: Hermite, Bezier & B-Spline surfaces 8
5 Virtual Reality: Hidden Lines &Hidden Surfaces: Z-Buffer, Painters, Area-
Subdivision, Scan Line algorithm
Light, Color &Shadin g Models , Animation 8
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 10 6 CAD &Geometric Modeling: Features of Modeling & Assembly Packages,
Types of Geometric Modeling, Data Structures, Product Data Exchange
Formats. Fundamentals of CAE: General procedures of Numerical methods like FEM & FDM, Kinematic Analysis & Animation, Features and Application of
Ci l kf C A E8
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Computer Grahics –F.S Hill. Jr
2. Computer Graphics—Zhigang Xiang & Roy Plastock (Schaum’s Outlines)
3. Computer Graphics—Hearn & Baker
4. Mathematical Elements for Computer Graphics—David F. Rogers, James Alan Adams
5. Procedural Elements for Computer Graphics—David F. Rogers, James Alan Adams
6. Mastering CAD/CAM—Ibrahim Zeid
7. Geometric Modelling—Mortenson, M.E.
8. Computer Graphics—Amarendra Sinha, ArunUdai
9. Fundamentals of Computer Graphics—Peter Shirley
10. CAD/CAM - Theory and Practice—Ibrahim Zeid, R Sivasubramanian
11. CAD/CAM—MikellGroover, Emory Zimmers Jr.
12. CAD CAM - Principles, Practice, and Manufacturing Management—Chris McMahon,
Jimmie Browne
13. Curves and Surfaces in Computer Aided Geometric Design—Fujio Yamaguchi
14. Computer Graphics – Principles & Practice—Foley, van Dam, Feiner, Hughes
15. Computer Aided Engineering Design—AnupamSaxena, Birendra Sahay
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 11 Course Code Course Name Credits
CCC102 Control Engineering 04
Objectives
1. To impart an advanced understanding of classical controls theory
2. To understand the equivalent mech anical and electrical systems
Outcomes: Learner will be able to…
1. Model system and find Transfer function.
2. Check stability of a mechanical system.
3. Understand response of second order system
4. Understand controllability and observability of linear system
Module Detailed Contents Hrs.
01 Introduction to control systems. Classificati on of control system, Effect of feedback.
Mathematical modeling of control systems (mechanical, electrical systems), concept
of transfer function. Block diagram algebra, and signal flow graphs. 06
02 Time response analysis: Time response of control system, standard test signal, Time
Response Analysis of First and Second orde r system, Time Domain specifications.
Step response of second order system. St eady-stateerrors, static error constants,
steady state, analysis of different type of systems using step. Ramp and parabolic
inputs. Response with P,PI,PD,PID Controller.
10
03 Classification of control systems according to 'TYPE' of systems, Stability analysis:
Introduction to concepts of stability. Th e Routh and Hurwitz stability criteria.
Relative stability analysis.
10
04 Root locus Techniques. Frequency Response Analysis, Frequency domain
specifications Correlation between time and frequency response. Polar Plots. Bode
Plots, Nyquist Plots,
10
05 State space modeling: Concept of state, state variable, state model. State space
representation using physical and phase variables, decomposition of transfer
function, diagonalisation. State transi tion matrix. Transfer function from state
model. Controllability and observably of linear system.
08
06 Compensation (Introduction only): Types of compensator, selection of compensator,
Lead, Lag and Lag-Lead compensation. Control system Components : servomotor,
stepper motors, Synchros, Potentiometer, amplifiers
08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 12
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Control System Engineering: by Nagrath LT. and Gopal .M., Wiley Eastern Lid.
2. Modem Control engineering: by K.Ogata, Prentice Hall.
3. Benjamin C. Kuo, Automatic Control Systems, Pearson education, seventh edition.
4. MadanGopal, Control Systems Principles and Design, Tata McGraw Hill, seventh
edition, 1997
5. Nise, control system Engineering, John wiley& sons, 3rd edition
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 13
Course Code Course Name Credits
CCC103 Mechatronics 04
Objectives:
1. Synergize the mechanisms of physical devices with Electronics, Electrical and Information
systems to problems and challenges in the areas of mechatronics,
2. Acquire knowledge of mechatronics in the field of product design, development and
manufacturing
Outcomes: Learner will be able to,
1. Demonstrate knowledge of pneumatic, hydraulic, electrical circuits and combinations with
logic design,
2. Understand mechatronics components and systems for a given application
3. Simulate mechatronics problems by simulation softwares
4. Demonstrate team-oriented skills within the field of mechatronics
Module Detailed Contents Hrs.
01 Introduction to Mechatronics - Traditional and Mechatronics design,
Mechatronics Key elements, Basic Components of Mechatronics Systems,
Integrated design issues in Mechatronics, Mechatronics Design process,
Mechatronics System in Factory, Home and Business Applications, Objectives,
Advantages and Disadvantages of Mechatronics. 3
02 Overview of Micro-processors and Micro-controllers - 8051 Micro-controllers,
Functional Block diagram and Architecture, Instruction set and Assembly Language Programming. 12
03 Interfacing hardware with real world - Analog Interface and Data acquisition,
Digital I/O interfacing, special function interfacing, signal conditioning, special
utility support hardware Interfacing of: HEX-keyboards, LCD display, ADC, DAC
and stepper motor with 8051 Micro controller. 10
04 Overview of Sensors and Transducers - Sensors for motion and position, Force
Torque and Tactile Sensors, Range Sensors, Proximity Sensors, Ultrasonic Sensors.
Interfacing of sensors with micro-computer system. Micro and Nano Sensors in Mechatronics. 6
05 Development of circuits for Industrial automation by
Pneumatic systems, Electro-Pneumatic systems, Hydraulic systems, Electro -
Hydraulic systems.
Logic Gates - AND, OR, NOT, NAND and NOR, applications of basic control
circuits based on these gates, Karnaugh map for signal simplification. PLC - Over view and applications of Programmable Logic Controllers in
Manufacturing, Relay logic, progra mming a PLC using ladder diagram
programming, Ladder logic programme fo r control of single cylinder and two
cylinder pneumatic systems and hydraulic systems.
15
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 14 06 Case Studies of Mechatronics Systems - Timed Switch, Pick and Place Robot, Car
Park Barrier, Automatic Camera, Car Engi ne Management, Bar Code System, CNC
Machine, ABS, Artificial Intelligence in Mechatronics, Fuzzy Logic applications in Mechatronics. 6
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module
3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
Reference Books:
1. The 8051 microcontroller and embedded systems using assembly and C by M.A.
Mazidi, J. Mazidi and R. D. McKinlay. PHI, second edition
2. The 8051 microcontroiler Architecture, Programming and Applications Kenneth J T
Ayala, Pemam International Publishing, (India).
3. Process control & Instrumentation technology : Cirtis D Johnson
4. Industrial control & instrumentation W Bolaton, ( Orient Longman)
5. Mechatronics - Electronic Control Systems in Mechanical Engineering, Bolton
Pearson education
6. Mechatronics. HMT
7. Fundamentals of Electro-Pne umatics: Festo Series
8. Fundamentals of Electro-Hydraulics: Festo Series
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 15
Course Code Course Name Credits
CCDLO1011 Product Design 04
Objectives
1. To understand fundamental product design concepts
2. To understand product design methodologies
3. To understand product design needs and issues in industry
Outcomes: Learner will be able to……
1. Design the products as per the customer/industry requirements
2. Apply creatively new technologies and sciences in the design of solutions that are usable
and functional for various applications.
3. Recognize the problems of conception and cr eation of products and systems which are
appropriate with regards to the form, conten t, functionality and the value for human use
and action.
Module Detailed content Hours
1 Importance of product design, type of design, product de finition, product
specification, Phases of product de velopment: conceptual, embodiment and
detailed design, product and technology development cycle, Concept generation and evaluation methods, pr oduct architecture, Product life cycle
Management with case studies,
Creativity and Idea generation tec hnique, importance of Qualit
y
Dimensions: Performance, Features , aesthetics, Ergonomics, Reliability,
Sustainability, Serviceability, Brand value, Value Vs cost, Importance o f
shape, color, feature &Resemblance.
08
2 Material selection—Importance, classification material performance
characteristic, selection criteria Ashby Material selection chart. New
developments in materials: Special alloys, Composit es and Ceramics.
Process selection — Importance types of manufacturing process and their
classification, Sources of informat ion selection criteria Material and
Process selection Methods, Expert sy stems. Computer Database Approach,
performance indices decision ma trix, AHP and fu zzy approach
introduction to material and process selection software. Axiomatic design
principles and case studies. 10
3 Design for Manufacturing (DFM) an d Design for Assembly (DFA)
Designs for Maintainability, De signs for Environment, Design fo r
Robustness: Taguchi Designs & Design of Experiments (DOE).
08
4 Benchmarking, Supplier involvemen t robust design, QFD, Design &
process FMEA. Value Engineering / Value Analysis. : definition,
methodology- FAST, Reverse Engineering, Concurrent engineering &
Sequential engineering 08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 16 5 Product Development Cycle and Im portance of Prototyping. Types o f
prototypes. Principal and advantages & Different Type of Generative
Manufacturing process, Viz. Stereo lithography. FDM, SLS etc. Factors
Concerning to RP: Consideration for Adoptions, Advantages, Accuracy an d
Economic Consideration.
Introduction to Assembly Modeling, Top-Down and Bottom-Up
Approaches of AM, Mating Conditions, representation Schemes.
Generation of Assembly Sequences. Case studies
08
6 Economics of Product Development:Methods of cost Estimates, Cost
Comparison, Depreciation, Taxes. Pr incipals of Economy, Engineering
Economy and Design Process, Economic Analysis, Inflation, Time Value o f
Money, Numerical on Net Present Value (NPV) method. IndustrialEngineering Approach, parametric A pproach, profitability of investment
and Investment Decision Analysis,
Legal and social issues, Patents and IP acts.
10
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module
3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Product Design and Manufacturing by A.K.Chitale, R.C.Gupta, PHI.
2. Product Design and Development by UlirichKarl T. and Eppinger Steven D, McGraw Hill. 3. Engineering Design by Diet er George E., McGraw Hill.
4. Handboook of Product Design for Manufacturing by Bralla, James G, McGraw Hill.
5. Product Design by Kevin Otto & Kristin Wood
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 17
Course Code Course Name Credits
CCDLO1012 Simulation and Modelling 04
Objectives
1. The primary objective of this course is to provide an insight into how simulation modeling can
aid in effective decision-making.
2. It provides students with the basic system concept and definitions of system techniques to
model and to simulate various systems, the ability to analyze a system and to make use of the
information to improve the performance.
Outcomes: Learner will be able to,
1. Understand the system concept and apply functi onal modeling method to model the activities
of a static system;
2. Simulate the operation of a system and make improvement according to the simulation results.
Module Detailed content Hrs.
1 Princi ple of com puter modellin g and simulation: 05
Monte Carlo simulation. Nature of computer- modeling and simulation.
Limitations of simulation, areas of a pplications. Components of a system -
discrete and continuous systems, Models of a system -a variety of modeling
Approaches.
2 Discrete Event Formalisms 10
Concepts of discrete event simulation, model components, a discrete event
system simulation, simulation world views or formalisms. Characteristics of
queueing systems, queueing notations, long run measures of performance of
queueing systems, Steady state behavior of Markovian models (M/G/1, M/M/1,
M/M/c) overview of finite capacity and finite calling population models,
Network of Queues simulation of single channel queue, multi channel queue,
inventory system and dump truck problem using event scheduling approach.
3 Statistical Models in Simulation 8
Overview of probability and statistics, useful statistical model, discrete
distribution, continuous distribution, empirical distribution and Poisson process.
Discrete uniform -distribution poisson distribution -geometric distribution -
acceptance -rejection technique for Poisson distribution gamma distribution.
4 RANDOM NUMBER GENERATION: Techni ques for generatin g random 10
numbers- Mid square method -the mod product method -Constant multiplier
technique -Additive congruential method -Linear congruential method -Tests for
random numbers -The Kolmogorov-Smimov test -the Chi-square test..
RANDOM VARIABLE GENERATION: Inversion transforms technique-
exponential distribution. uniform distribu tion, weibul distribution, continuous
distribution, generating approximate nor mal variates-Erlang distribution.
5 Input Modelin g 10
Introduction, steps to build a useful model of input data, data collection,
identifying the distribution with data, parameter estimation, suggested
estimators, goodness of fit tests, selecti on input model without data, covariance
and correlation, multivariate and time series input models.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 18 6 Verification and Validation of Simulation Model 9
Introduction, model building, verification of simulation models, calibration and
validation of models:- validation proces s, face validity, validation of model,
validating input-output transformation, t- test, power of test, input output
validation using historical data and Turing test.
Output Analysis
Types of simulations with respect to output analysis, stochastic nature of output
data, measure of performance and their estimation, output analysis of
terminating simulators, output analysis for steady state simulation.
variance reduction techniques -antitheti c variables, variables-verification and
validation of simulation models.
Assessment:
Internal: Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module
3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Banks J., Carson J. S., Nelson B. L., and Nicol D. M., “Discrete Event System Simulation”,
3rd edition, Pearson Education, 2001.
2. Gordon Geoffrey, “System Simulation”, 2nd edition, PHI, 1978.
3. Law A. M., and Kelton, W. D., “Simulation Modeling and Analysis”, 3rd edition, McGraw-
Hill, 2000.
4. NarsingDeo, “System Simulation with Digital Computer”, PHI.
5. Frank L. Severance, “System Modeling and Simulation”
6. Trivedi K. S., “Probability and Statistics with Reliability, Queueing, and Computer Science
Applications”, PHI, 1982.
7. Wadsworth G. P., and Bryan, J. G., “Introduction to Probability and Random Variables”,
McGraw-Hill, 1960.
8. Donald W. Body, “System Analysis and Modeling”, Academic Press Harcourt India.
9. Bernard, “Theory Of Modeling and Simulation”
10. Levin & Ruben, “Statistics for Management”
11. Aczel and Sounderpandian, “Business Statistics”
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 19
Course Code Course Name Credits
CCDLO1013 Artificial Intelligen ce and Expert Systems 04
Objectives:
1. To Understand and explain the basic knowledge representation, problem solving, and learning
methods of Artificial Intelligence and expert system.
2. To Assess the applicability, strengths, and weaknesses of the basic knowledge representation,
problem solving, and learning methods in solving particular engineering problems
3. To equip students with the tools to tackle new AI paradigm, develop an interest in the field
sufficient to take more advanced subjects.
4. To develop intelligent systems by assembling solutions to concrete computational problems.
Outcomes: Learner will be able to…
1. Understand knowledge base, search methods, heuristic and state space methods etc,.
2. Understand/Simulate/imitate an intelligent human being, in terms of conversation.
3. Understand artificial intelligence, problem solving, intelligent agents, expert systems, search
techniques.
4. Develop a piece of software which is ab le to process natural language, knowledge
representation.
Module Detailed Contents Hrs
01 AI and Internal Representation: Introduction, definitions-Turing
approach, Cognitive modeling approach, Laws of thought approach, The rational agent approach, Foundations of AI (history).
Intelligent Agents: Concept of Rational Agent, Structure of Intelligent
agents, agent program, Examples. Simple reflex agent, Goal based agent,
Utility based agent, Agent Environments , environment programs, Examples.
Problem Solving : Solving problems by searching, Problem Formulation,
Search Strategies, Uninformed Search Techniques, DFS, BFS, Uniform cost
search, Iterative Deepening, Comparing different Techniques,
Informed search methods – Best First Search, heuristic functions, Hill-
Climbing, A*.IDA*. Crypt Arithmetic. 10
02 Game playing : Perfect decisions in two pe rson games, Imperfect decisions,
Alpha-beta pruning, Games with element of chance.
Knowledge based agent, WUMPUS simple environmental class game,
knowledge representations, reasoning and logic, prepositional logic, Agent
for WUMPUS, translating knowledge into action, problems with prepositional agent.
First order logics, (syntax and sema ntics), logical agent for WUMPUS,
simple reflex agent, Representing change in the world, situation calculus,
frame problems and relatives. Basic representations for planning, situation
state and plan, representation for plans, practical planning. 10
03 Expert Systems: Characteristics, capabilities, components, limitations,
applications. Expert system technologies and its benefits.
Programming in LISP or PROLOG: Lisps, Typing at Lisp, Defining
Programs, Basic Flow of Control in Lisp , Lisp Style, Atoms and Lists, Basic
Debugging, Building Up List Structure, More on Predicates, Properties,
Pointers, Cell Notation and the Internals (Almost) of Lisp, Destructive
Modification of Lists, The for Functi on, Recursion, Scope of Variables
Input/output, Macros. Data warehousing & Data Mining. Online Analytic
Processing [OLAP]: its architecture and its use. Java implementations. 08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 20 04 Fundamentals Concepts and Models of Artificial Neural Systems:
Biological Neuron and their Artificial Models, Models of ANN, Learning
and Adaptation, Neural Networking Learning Rules. Single -layer Perception
Classifiers. Multilayer Feed forward Networks : Linearly Non-separable Pattern
Classification, Delta Learning Rule, Feed forward Recall and Error Back-
Propagation Training, Learning Factor 08
05 Uncertainty: uncertainty, representation of knowledge in uncertain domain,
semantics of belief network, Representing ignorance-Dempster-shafer theory. Representing vagueness : Fuzzy sets and fuzzy logics, Fuzzy Relations,
Fuzzy Function, Fuzzy Measures, Probabilities & possibilities. Fuzzy
Modeling and applications of Fuzzy Control, Neural and fuzzy machine
Intelligence. Representing decision problems, Using decision networks,
making simple decision and complex decision. 08
06 Genetic Algorithm: Simple genetic algorithm, Simulation by hands,
similarity templates (Schemata), Mathematical foundations, Schema
Processing at work. The two- armed and k- armed Bandit Problem, The
building block hypothesis, The minimal Deceptive Problem.
Computer implementation of Genetic algorithm, Data Structures,
Reproduction, Cross over and Mutation. Time to reproduce and time to
Cross Mapping, Objective function to fitness, form, Fitness scaling. Applications of genetic algorithm, De-Jong and Function Optimization,
Improvement in basic techniques.
Introduction to Genetics based machine Learning its applications. 08
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Artificial Intelligence, A modern approach By Staurt J Russel and Peter Norvig, by Prentice
Hall Inc, 1995. New Jersey.
2. Introduction to Artificial intelligence By E ugene Charniak, Drew McDermott AddisonWesley
Artificial Neural Networks- B. Yegnanarayana, PHI, 1999.
3. Genetic Algorithms in search, Optimizati on & Machine Learning by David E Goldberg-
Addison Wesley
4. Data Mining by Pieter Adriaans and Do lt Zantinge - Pearson Education Asia
5. Data Warehousing in the Real World by Sam Anahory and Dennis Murray.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 21 6. Artificial Intelligence, Elaine Rich, Kevin Knight, S. Nair, McGraw Hill Publishing Company
Ltd
7. Principles of Artificial Intelligence – N.J. Nilsson, Tioga Hill, 1992.
8. Artificial Intelligence and Design of Expert Systems – C.F. Luger & W.A. Stubblefeild,
Addison-Wesley.
9. Introduction to Data Mining & Knowledge Discovery – Edelstein, Herbert A.
10. Introduction to Artificial Neural Systems – Jacek M. Zurada, Jaico Publishing House, 2001.
11. Neural Network – Simson Haykin, Macmillan Publication, 1994.
12. Fuzzy Set Theory & its Applications – H.J.Zimmermann, Allied Publishers Ltd, 1996.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 22
Course Code Course Name Credits
CCDLO1014 Advanced Finite Element Analysis 04
Objectives:
1. To develop proficiency in finite elemen t method after understanding the fundamental
principles of FEM to solve realistic engineeri ng problems in the field of thermal engineering,
structural engineering, vibration analysis, fluid flow, etc.
Outcomes: Learner will be able to…
1. Generate the governing Finite element equations for systems governed by partial differential
equations
2. Solve problems related trusses, heat transf er, free vibrations and fluid flow problems
3. Solve time dependent and / or non-linear problems
4. Use commercial software package to perform structural analysis, heat transfer modeling, fluid
flow modeling and interpret the results.
Module Detailed content Hrs.
1 Introduction to FEA, General FEM procedure, 12
• Approximate solutions of differential equations: FDM method, W-R technique,
collocation least square sub-domain and Galerkin method
• Numerical integration, Gauss quadrature in 2-D and 3-D
• Structure of FEA program, Pre and Post processor, commercially available
• standard packages, and desirable features of FEA packages.
Principal of minimum total potential, elements of variational calculus,
minimization of functional, Rayleigh-Ritz method, Formulation of elemental
matrix equation, and assembly concepts.
2 One Dimensional FEM: 10
• Coordinate system: Global, local, natural coordinate system.
Shape functions: Polynomial shape functions, Derivation of shape functions,
Natural co-ordinate and coordinate transformation, Linear quadratic and cubic
elements, Shape functions using Lagrange polynomials. Convergence and
• compatibility requirement of shape functions.
One dimensional field problems: structural analysis (step-bar, taper-bar).
Structural analysis with temperature effect, Thermal analysis, heat transfer from
composite bar, fins. Fluid network and flow through porous medium, analysis of
electrical network problems by FEA
3 • Trusses, Thermal effects in truss members, Beams. 8
• Two dimensional finite elements formul ations, Threenoded triangular element,
Four-noded rectangular element, Fou r-noded quadrilateral element, derivation
of shape functions: natural coordinate s, triangular elements, and quadrilateral
elements.
• Six-noded triangular elements, Eight-nod ed quadrilateral elements, Nine-noded
quadrilateral element; Strain displacement matrix for CST element
4 • Penalty Method, Lagrange methods, Multipoint Constraints 08
• Concept of Master/Slave entities
• Examples of Contact problems.
• Iso-parametric concepts, basic theorem, Iso-parametric, super-parametric, sub-
parametric elements, Concept of Jacobian
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 23 5 • Finite element formulation of Dynamics, application to free-vibration problems, 06
Lump and consistent mass matrices, Eigen value problems.
• Transient dynamic problems in heat transfer and solid mechanics.
• Introduction to time-integration methods: Implicit and Explicit methods,
Convergence, Impact of Mesh quality on convergence
6 • Three dimensional elements: Tetrahedron, Rectangular prism (brick), Arbitrary 08
hexahedron; Three Dimensional polynomial shape functions, Natural co-
• ordinates in 3D, Three dimensi onal Truss(space trusses)
Introduction to material models: Introduction to plasticity (Von-Mises
Plasticity), Hyper –elasticity. Generati ng and using experimental data to model
materialbehaviour.
• Errors in FEA, sources of errors, method of elimination, Patch test.
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. O.C.Zienkiewicz, R.L.Taylor&J.Z.Zhu, “The Finite Element Method its Basis and
Fundamentals”, Butterworth-Heinemann,Elsevier
2. Reddy J. N., “Finite Element Method”, McGraw-Hill
3. S.S.Rao, “The Finite Element Method in Engineering” , 4th Edition, Academic Press, Elsevier
4. U.S.Dixit, “Finite Element Methods for Engineers”,Cengage Learning
5. P.Seshu, “Textbook of FE Analysis”, Prentice Hall
6. Desai and Abel, “Introduction to Finite Elements Methods”, CBS Publication
7. Tirupati R. Chandrupatla and Ashok D.Belegundu, “Introduction to Finite Elements in
Engineering”
8. Erik Thompson, “Introduction to Finite Element Methods”, Wiley India
9. H. Kardestuneer, “Finite Elements Hand Book”
10. R.D.Cook, “Concepts & Applications of Finite Element Analysis”
11. Bathe K.J., “Finite Element Procedures in Engi neering Analysis”, Prentice Hall of India
12. Huebener K.H., Dewhirst D.D., Smith D.E. and Byrom T.G., “The Finite Element Method for
Engineers”, John Wiley, New York
13. Logan, “Finite Element Methods” Cengage Learning
14. George Buchanan, “Finite Elements Analysis”, McGrawHill
15. C.S.Krishnamoorthy, “Finite Elements Analysis”, Tata McGraw-Hill
16. RobertCook, “Concept and Application of Finite Element Methods”, Wiley India.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 24 Course Code Course Name Credits
ILO 1011 Product Life Cycle Management 03
Objectives:
1. To familiarize the students with the need, benefits and components of PLM
2. To acquaint students with Product Data Management & PLM strategies
3. To give insights into new product development program and guidelines for designing and
developing a product
4. To familiarize the students with Virtual Product Development
Outcomes: Learner will be able to…
1. Gain knowledge about phases of PLM, PLM stra tegies and methodology for PLM feasibility
study and PDM implementation.
2. Illustrate various approaches and techniques for designing and developing products.
3. Apply product engineering guidelines / thumb rules in designing products for moulding,
machining, sheet metal working etc.
4. Acquire knowledge in applying virtual product development tools for components, machining
and manufacturing plant
Module Detailed Contents Hrs
01 Introduction to Product Lifecycle Management (PLM): Product Lifecycle
Management (PLM), Need for PLM, Pr oduct Lifecycle Phases, Opportunities of
Globalization, Pre-PLM Environment, PLM Pa radigm, Importance & Benefits of PLM,
Widespread Impact of PLM, Focus and Application, A PLM Project, Starting the PLM Initiative, PLM Applications PLM Strategies: Industrial strategies, Strategy elem ents, its identification, selection
and implementation, Developing PLM Vision and PLM Strategy , Change management
for PLM 10
02 Product Design: Product Design and Development Process, Engineering Design,
Organization and Decomposition in Product De sign, Typologies of Design Process
Models, Reference Model, Product Design in the Context of the Product Development
Process, Relation with the Development Proc ess Planning Phase, Relation with the Post
design Planning Phase, Methodological Evolution in Product Design, Concurrent
Engineering, Characteristic Features of Concurrent Engineering, Concurrent
Engineering and Life Cycle Approach, New Product Development (NPD) and
Strategies, Product Configuration and Variant Management, The Design for X System,
Objective Properties and Design for X Tool s, Choice of Design for X Tools and Their
Use in the Design Process 09
03 Product Data Management (PDM): Product and Product Data, PDM systems and
importance, Components of PDM, Reason for implementing a PDM system, financial justification of PDM, barr iers to PDM implementation 05
04 Virtual Product Development Tools: For components, machines, and manufacturing
plants, 3D CAD systems and realistic rende ring techniques, Digital mock-up, Model
building, Model analysis, Modeling and simulations in Product Design, Examples/Case
studies 05
05 Integration of Environmental Aspects in Product Design: Sustainable Development,
Design for Environment, Need for Life Cycle Environmental Strategies, Useful Life Extension Strategies, End-of-Life Strategies , Introduction of Environmental Strategies
into the Design Process, Life Cycle Enviro nmental Strategies and Considerations for
Product Design 05
06 Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and Framework of
LCA, Phases of LCA in ISO Standards, Fields of Application and Limitations of Life
Cycle Assessment, Cost Analysis and the Life Cycle Approach, General Framework for
LCCA, Evolution of Models for Product Life Cycle Cost Analysis 05
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 25
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. John Stark, “Product Lifecycle Management: Pa radigm for 21st Century Product Realisation”,
Springer-Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, Antonino Risitano, “Product Design for the environment-A life cycle
approach”, Taylor & Francis 2006, ISBN: 0849327229
3. Saaksvuori Antti, ImmonenAnselmie, “Product Life Cycle Management”, Springer, Dreamtech, ISBN:
3540257314
4. Michael Grieve, “Product Lifecycle Management: Driv ing the next generation of lean thinking”, Tata
McGraw Hill, 2006, ISBN: 0070636265
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 26
Course Code Course Name Credits
ILO 1012 Reliability Engineering 03
Objectives:
1. To familiarize the students with various aspects of probability theory
2. To acquaint the students with reliability and its concepts
3. To introduce the students to methods of estimating the system reliability of simple and complex
systems
4. To understand the various aspects of Maintainability, Availability and FMEA procedure
Outcomes: Learner will be able to…
1. Apply the concept of Probability to engineering problems
2. Apply various reliability concepts to calculate different reliability parameters
3. Estimate the system reliability of simple and complex systems
4. Carry out a Failure Mode Effect and Criticality Analysis
Module Detailed Contents Hrs
01 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye’s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation, Standard
Deviation, Variance, Skewness and Kurtosis. 08
02 Reliability Concepts: Reliability definitions, Importan ce of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time To
Failure (MTTF), MTBF, Reliability Functions. Reliability Hazard Models: Constant Failure Rate, Linearly increasing, Time
Dependent Failure Rate, Weibull Model. Dist ribution functions and reliability analysis. 08
03 System Reliability: System Configurations: Series, parallel, mixed configuration, k out
of n structure, Complex systems. 05
04 Reliability Improvement: Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis.
System Reliability Analysis – Enumeration method, Cut-set method, Success
Path method, Decomposition method. 08
05 Maintainability and Availability: System downtime, Design for Maintainability:
Maintenance requirements, Design methods: Fault Isolation and self-diagnostics, Parts standardization and Interchangeability, Modu larization and Accessibility, Repair Vs
Replacement. Availability – qualitative aspects. 05
06 Failure Mode, Effects and Criticality Analysis: Failure mode effects analysis,
severity/criticality analysis, FMECA examples . Fault tree construction, basic symbols,
development of functional reliability block di agram, Fau1t tree analysis and Event tree
Analysis 05
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 27
End Semester Theory Examination: Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. L.S. Srinath, “Reliability Engineering”, Affiliated East-Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, “Reliability and Mainta inability Engineering”, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, “Engineering Reliability”, John Wiley & Sons, 1980.
4. P.D.T. Conor, “Practical Reliability Engg.”, John Wiley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, “Reliability in Engineering Design”, John Wiley & Sons.
6. Murray R. Spiegel, “Probability and Statistic s”, Tata McGraw-Hill Publishing Co. Ltd.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 28 5.
Course Code Course Name Credits
ILO 1013 Management Information System 03
Objectives:
1. The course is blend of Management and Technical field.
2. Discuss the roles played by information technology in today’s business and define various technology
architectures on which information systems are built
3. Define and analyze typical functional information sy stems and identify how they meet the needs of the
firm to deliver efficiency and competitive advantage
4. Identify the basic steps in systems development
Outcomes: Learner will be able to…
1. Explain how information systems Transform Business
2. Identify the impact information systems have on an organization
3. Describe IT infrastructure and its components and its current trends
4. Understand the principal tools and technologies fo r accessing information fr om databases to improve
business performance and decision making
5. Identify the types of systems used for enterprise -wide knowledge management and how they provide
value for businesses
Module Detailed Contents Hrs
01 Introduction To Information Systems (IS): Computer Based Information Systems,
Impact of IT on organizations, Importance of IS to Society. Organizational Strategy,
Competitive Advantages and IS. 4
02 Data and Knowledge Management: Database Approach, Big Data, Data warehouse and
Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Deci sion Making, BI for Data analysis and
Presenting Results 7
03 Ethical issues and Privac y: Information Securit y. Threat to IS, and Securit y Controls 7
04 Social Computing (SC): Web 2.0 and 3.0, SC in business-shopping, Marketing,
Operational and Analytic CRM, E-business and E-commerce – B2B B2C. Mobile commerce. 7
05 Computer Networks Wired and Wireless technology, Pervasive computing, Cloud
computing model. 6
06 Information System within Organization: Transaction Processing Systems, Functional
Area Information System, ERP and ERP support of Business Process.
Acquiring Information Systems and Applica tions: Various System development life
cycle models. 8
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 29
REFERENCES:
1. Kelly Rainer, Brad Prince, Management Information Systems, Wiley
2. K.C. Laudon and J.P. Laudon, Management Information Systems: Managing the Digital Firm, 10
th
Ed., Prentice Hall, 2007.
3. D. Boddy, A. Boonstra, Managing Information Syst ems: Strategy and Organization, Prentice Hall,
2008
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 30
Course Code Course Name Credits
ILO 1014 Design of Experiments 03
Objectives:
1. To understand the issues and principles of Design of Experiments (DOE)
2. To list the guidelines for designing experiments
3. To become familiar with methodologies that can be used in conjunction with experimental designs for
robustness and optimization
Outcomes: Learner will be able to…
1. Plan data collection, to turn data into information and to make decisions that lead to appropriate action
2. Apply the methods taught to real life situations
3. Plan, analyze, and interpret the results of experiments
Module Detailed Contents Hrs
01 Introduction
1.1 Strategy of Experimentation
1.2 Typical Applications of Experimental Design 1.3 Guidelines for Designing Experiments 1.4 Response Surface Methodology 06
02 Fitting Regression Models
2.1 Linear Regression Models
2.2 Estimation of the Parameters in Linear Regression Models 2.3 Hypothesis Testing in Multiple Regression
2.4 Confidence Intervals in Multiple Regression 2.5 Prediction of new response observation
2.6 Regression model diagnostics 2.7 Testing for lack of fit 08
03 Two-Level Factorial Designs and Analysis
3.1 The 22 Design
3.2 The 23 Design
3.3 The General2k Design
3.4 A Single Replicate of the 2k Design
3.5 The Addition of Center Points to the 2k Design,
3.6 Blocking in the 2k Factorial Design
3.7 Split-Plot Designs 07
04 Two-Level Fractional Factorial Designs and Analysis
4.1 The One-Half Fraction of the 2k Design
4.2 The One-Quarter Fraction of the 2k Design
4.3 The General 2k-p Fractional Factorial Design
4.4 Resolution III Designs 4.5 Resolution IV and V Designs
4.6 Fractional Factorial Split-Plot Designs 07
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 31 05 Conducting Tests
5.1 Testing Logistics
5.2 Statistical aspects of conducting tests
5.3 Characteristics of good and bad data sets
5.4 Example experiments 5.5 Attribute Vs Variable data sets 07
06 Taguchi Approach
6.1 Crossed Array Designs and Signal-to-Noise Ratios
6.2 Analysis Methods 6.3 Robust design examples 04
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson-Cook, Response Surface
Methodology: Process and Product Optimization using Designed Experiment, 3
rdedition,John Wiley
& Sons, New York, 2001
2. D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley & Sons, New York,
2001
3. George E P Box, J Stuart Hunter, William G Hunter , Statics for Experimenters: Design, Innovation
and Discovery, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engi neers and Scintists, John Wiley and Sons Inc.
ISBN: 0-471-39054-2
5. Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D.
T.Voss
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 32
Course Code Course Name Credits
ILO 1015 Operations Research 03
Objectives:
1. Formulate a real-world problem as a mathematical programming model.
2. Understand the mathematical tools that are needed to solve optimization problems.
3. Use mathematical software to solve the proposed models.
Outcomes: Learner will be able to…
1. Understand the theoretical workings of the simple x method, the relationship between a linear program
and its dual, including strong duality and complementary slackness.
2. Perform sensitivity analysis to determine the direc tion and magnitude of change of a model’s optimal
solution as the data change.
3. Solve specialized linear programming problems like the transportation and assignment problems, solve
network models like the shortest path, minimu m spanning tree, and maximum flow problems.
4. Understand the applications of integer programmi ng and a queuing model and compute important
performance measures
Module Detailed Contents Hrs
01 Introduction to Operations Research : Introduction, , Structur e of the Mathematical
Model, Limitations of Operations Research
Linear Programming : Introduction, Linear Programming Problem, Requirements of
LPP, Mathematical Formulation of LPP, Graphical method, Simplex Method Penalty Cost Method or Big M-method, Two Ph ase Method, Revised simplex method,
Duality , Primal – Dual construction, Symmetri c and Asymmetric Dual, Weak Duality
Theorem, Complimentary Slackness Theorem, Main Duality Theorem, Dual Simplex
Method, Sensitivity Analysis
Transportation Problem : Formulation, solution, unbalanced Transportation problem.
Finding basic feasible solutions – Northwest corner rule, least cost method and Vogel’s
approximation method. Optimality test: the stepping stone method and MODI method.
Assignment Problem : Introduction, Mathematical Formulation of the Problem,
Hungarian Method Algorithm, Processing of n Jobs Through Two Machines and m
Machines, Graphical Method of Two Jobs m Machines Problem Routing Problem, Travelling Salesman Problem Integer Programming Problem : Introduction, Types of Integer Programming
Problems, Gomory’s cutting plane Algor ithm, Branch and Bound Technique.
Introduction to Decomposition algorithms. 14
02 Queuing models : queuing systems and structures, single server and multi-server
models, Poisson input, exponential service, c onstant rate service, finite and infinite
population 05
03 Simulation : Introduction, Methodology of Simulation, Basic Concepts, Simulation
Procedure, Application of Simulation Mont e-Carlo Method: Introduction, Monte-Carlo
Simulation, Applications of Simulation, Ad vantages of Simulation, Limitations of
Simulation 05
04 Dynamic programming . Characteristics of dynamic programming. Dynamic
programming approach for Priority Mana gement employment smoothening, capital
budgeting, Stage Coach/Shortest Path, cargo loading and Reliability problems. 05
05 Game Theory . Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Solution of games with saddle points, dominance principle. Rectan gular games without saddle point – mixed
strategy for 2 X 2 games. 05
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 33 06 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks, EOQ with
Shortage, Probabilistic EOQ Model, 05
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. Taha, H.A. "Operations Research - An Introdu ction", Prentice Hall, (7th Edition), 2002.
2. Ravindran, A, Phillips, D. T and Solberg, J. J. "O perations Research: Princi ples and Practice", John
Willey and Sons, 2nd Edition, 2009.
3. Hiller, F. S. and Liebermann, G. J. "Introduction to Operations Research", Tata McGraw Hill, 2002.
4. Operations Research, S. D. Sharma, KedarNath Ram Nath-Meerut.
5. Operations Research, KantiSwarup, P. K. Gupta and Man Mohan, Sultan Chand & Sons.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 34
Course Code Course Name Credits
ILO 1016 Cyber Security and Laws 03
Objectives:
1. To understand and identify different types cybercrime and cyber law
2. To recognized Indian IT Act 2008 and its latest amendments
3. To learn various types of security standards compliances
Outcomes: Learner will be able to…
1. Understand the concept of cybercrime and its effect on outside world
2. Interpret and apply IT law in various legal issues
3. Distinguish different aspects of cyber law
4. Apply Information Security Standards compliance during software design and development
Module Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime and information security, Classifications of cybercrime, Cybercrime and
the
Indian ITA 2000, A global Perspective on cybercrimes. 4
02 Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg, Cyber
stalking, Cyber café and Cy bercrimes, Botnets, Attack vector, Cloud computing,
Proliferation of Mobile and Wireless Device s, Trends in Mobility, Credit Card Frauds
in Mobile and Wireless Computing Era, Security Challenges Posed by Mobile Devices, Registry Settings for Mobile Devices, Authentication Service Security, Attacks on
Mobile/Cell Phones, Mobile Devices: Security Implications for Organizations,
Organizational Measures for Handling Mob ile, Devices-Related Security Issues,
Organizational Security Polic ies and Measures in Mobile Computing Era, Laptops 9
03 Tools and Methods Used in Cyberline
Phishing, Password Cracking, Key loggers and Spywares, Virus and Worms,
Steganography, DoS and DDoS Attacks, SQL Injection, Bu ffer Over Flow, Attacks on
Wireless Networks, Phishing, Identity Theft (ID Theft) 6
04 The Concept of Cyberspace
E-Commerce , The Contract Aspects in Cyber Law ,The Security Aspect of Cyber Law
,The Intellectual Property Aspect in Cyber Law
, The Evidence Aspect in Cyber Law , The Criminal Aspect in Cyber Law, Global
Trends in Cyber Law , Legal Framework for Electronic Data Inte rchange Law Relating
to Electronic Banking , The Need for an Indian Cyber Law 8
05 Indian IT Act.
Cyber Crime and Criminal Justice: Penaltie s, Adjudication and Appeals Under the IT
Act, 2000, IT Act. 2008 and its Amendments 6
06 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 35
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination.
In question paper weightage of each module will be proportional to number of respective lecture hours
as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. Nina Godbole, SunitBelapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Delhi
3. The Information technology Act, 2000; Bare Act- Professional Book Publishers, New Delhi.
4. Cyber Law & Cyber Crimes By Advocate Prashant Mali; Snow White Publications, Mumbai
5. Nina Godbole, Information Systems Security, Wiley India, New Delhi
6. Kennetch J. Knapp, Cyber Security &Global Information Assurance Information Science Publishing.
7. William Stallings , Cryptography and Network Security, Pearson Publication
8. Websites for more information is available on : The Information Technology ACT, 2008- TIFR :
https://www.tifrh.res.in
9. Website for more information , A Complia nce Primer for IT professional :
https://www.sans.org/reading-room/whitepapers/comp liance/compliance-primer-professionals-33538
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 36
Course Code Course Name Credits
ILO 1017 Disaster Management and Mitigation Measures 03
Objectives:
1. To understand physics and various types of disaster occurring around the world
2. To identify extent and damaging capacity of a disaster
3. To study and understand the means of losses and methods to overcome /minimize it.
4. To understand role of individual and various organization during and after disaster
5. To understand application of GIS in the field of disaster management
6. To understand the emergency government response structures before, during and after disaster
Outcomes: Learner will be able to…
1. Get to know natural as well as manmade disaster and their extent and possible effects on the
economy.
2. Plan of national importance structures based upon the previous history.
3. Get acquainted with government policies, acts and various organizational structure associated
with an emergency.
4. Get to know the simple do’s and don’ts in such extreme events and act accordingly.
Module Detailed Contents Hrs
01 Introduction
1.1 Definition of Disaster, hazard, global an d Indian scenario, general perspective,
importance of study in human life, Direct an d indirect effects of disasters, long term
effects of disasters. Introduction to global warming and climate change. 03
02 Natural Disaster and Manmade disasters:
2.1 Natural Disaster: Meaning and nature of natural disaster, Flood, Flash flood, drought,
cloud burst, Earthquake, Landslides, Avalanches, Volcanic eruptions, Mudflow,
Cyclone, Storm, Storm Surge, climate change, global warming, sea level rise, ozone depletion
2.2 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards. Role of growing
population and subsequent industrialization, urbanization and cha nging lifestyle of
human beings in frequent occurrences of manmade disasters. 09
03 Disaster Management, Policy and Administration
3.1 Disaster management: meaning, concept, importance, objective of disaster management
policy, disaster risks in India, Para digm shift in disaster management.
3.2 Policy and administration:
Importance and principles of disaster management policies, command and co-
ordination of in disaster management, rescue operations-how to start with and how to
proceed in due course of time, study of flowchart showing the entire process. 06
04 Institutional Framework for Disaster Management in India:
4.1 Importance of public awareness, Preparation and execution of emergency management
program. Scope and responsibilities of National Institute of Disaster Management (NIDM) and National disaster management authority (NDMA) in India. Methods and
measures to avoid disasters, Management of casualties, set up of emergency facilities,
importance of effective communication amongs t different agencies in such situations.
4.2 Use of Internet and softwares for effectiv e disaster management. Applications of GIS,
Remote sensing and G PS in this regard. 06
05 Financing Relief Measures:
5.1 Ways to raise finance for relief expenditur e, role of government agencies and NGO’s in
this process, Legal aspects related to fina nce raising as well as overall management of
disasters. Various NGO’s and the works they have carried out in the past on the
occurrence of various disasters, Ways to approach these teams.
5.2 International relief aid agencies and their role in extreme events. 09
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 37 06 Preventive and Mitigation Measures:
6.1 Pre-disaster, during disaster and post-di saster measures in some events in general
6.2 Structural mapping: Risk mapping, assessment and analysis, sea walls and
embankments, Bio shield, shelters, early warning and communication
6.3 Non Structural Mitigation: Community base d disaster preparedness, risk transfer and
risk financing, capacity development and training, awaren ess and education,
contingency plans.
6.4 Do’s and don’ts in case of disasters an d effective implementation of relief aids. 06
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. ‘Disaster Management’ by Harsh K.Gupta, Universities Press Publications.
2. ‘Disaster Management: An Appraisal of Institutiona l Mechanisms in India’ by O.S.Dagur, published
by Centre for land warfare studies, New Delhi, 2011.
3. ‘Introduction to International Disaster Manageme nt’ by Damon Copolla, Butterworth Heinemann
Elsevier Publications.
4. ‘Disaster Management Handbook’ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‘Disaster management & rehabilitation’ by Rajd eepDasgupta, Mittal Publications, New Delhi.
6. ‘Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh, Rawat
Publications
7. Concepts and Techniques of GIS –C.P.Lo Albert, K.W. Yonng – Prentice Ha ll (India) Publications.
(Learners are expected to refer reports published at national and International le vel and updated information
available on authentic web sites)
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 38
Course Code Course Name Credits
ILO 1018 Energy Audit and Management 03
Objectives:
1. To understand the importance energy security for sustainable development and the fundamentals of
energy conservation.
2. To introduce performance evaluation criteria of various electrical and thermal installations to facilitate
the energy management
3. To relate the data collected during performance evaluation of systems for identification of energy
saving opportunities.
Outcomes: Learner will be able to…
1. To identify and describe present state of energy security and its importance.
2. To identify and describe the basic principles and me thodologies adopted in energy audit of an utility.
3. To describe the energy performance evaluation of some common electrical installations and identify
the energy saving opportunities.
4. To describe the energy performance evaluation of some common thermal installations and identify the
energy saving opportunities
5. To analyze the data collected during performance evaluation and recommend energy saving measures
Module Detailed Contents Hrs
01 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy Security,
Energy Conservation and its Importance, Energy Conservation Act-2001 and its
Features. Basics of Energy and its various forms, Material and Energy balance 04
02 Energy Audit Principles:
Definition, Energy audit- need, Types of energy audit, Energy management (audit)
approach-understanding energy costs, Benc h marking, Energy performance, Matching
energy use to requirement, Maximizing sy stem efficiencies, Optimizing the input
energy requirements, Fuel and energy substitution. Elements of monitoring& targeting;
Energy audit Instruments; Data and information-analysis.
Financial analysis techniques: Simple payback period, NPV, Return on investment
(ROI), Internal rate of return (IRR)08
03 Energy Management and Energy Conservation in Electrical System:
Electricity billing, Electrical load management and maximum demand Control; Power
factor improvement, Energy efficient equipments and appliances, star ratings.
Energy efficiency measures in lighting system, Lighting control: Occupancy sensors,
daylight integration, and us e of intelligent controllers.
Energy conservation opportunities in: water pu mps, industrial drives, induction motors,
motor retrofitting, soft starters, variable speed drives. 10
04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; En ergy conservation opportunities in: Steam
distribution system, Assessment of steam distribution losses, Steam leakages, Steam
trapping, Condensate and flash steam recovery system. General fuel economy measures in Boilers and furnaces, Waste heat recovery, use of insulation- types and application. HVAC syst em: Coefficient of performance, Capacity,
factors affecting Refrigeration and Air C onditioning system performance and savings
opportunities. 10
05 Energy Performance Assessment:
On site Performance evaluation techniques, Case studies based on: Motors and variable
speed drive, pumps, HVAC system calculations; Lighting System: Installed Load
Efficacy Ratio (ILER) method, Financial Analysis. 04
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED rating,
Application of Non-Conventional and Renewable Energy Sources 03
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 39
Assessment:
Internal:
Assessment consists of two tests out of which; one shoul d be compulsory class test and the other is either a
class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hour s as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. Handbook of Electrical Installation Prac tice, Geofry Stokes, Blackwell Science
2. Designing with light: Lighting Handbook, By Anil Valia, Lighting System
3. Energy Management Handbook, By W.C. Turner, John Wiley and Sons
4. Handbook on Energy Audits and Management, edite d by A. K. Tyagi, Tata Energy Research
Institute (TERI).
5. Energy Management Principles, C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. Richardson, Fairmont Press
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanagertraining.com
9. www.bee-india.nic.in
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 40
Subject Code Subject Name Credits
CCL 101 CAD and Computer Aided Engineering 01
The laboratory will focus on the following:
Module Detailed Contents Lab
Sessions
01 3D - Modeling, Assembly & Drafting 5
02 Kinematic &Kinetic Analysis of Mechanisms 4
03 Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD) or
Multibody dynamics (MBD) 4
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 41
Subject Code Subject Name Credits
CCL 102 Mechatronics and Robotics 01
The laboratory will focus on the following:
Module Detailed Contents Lab
Sessions
01 Automation using Pneumatics and Hydraulics 4
02 Programmable logic controllers 3
03 Interfacing Servo motor/Stepper motor /Keyboard etc. with Micro
controller
3
04 Programming & Manipulating an Industrial Manipulator 3
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 42
Course Code Course Name Credits
CCC201 Robotics 04
Course Objectives
1. To familiarize the students with robotic systems and their applications in flexible or agile
manufacturing.
2. To make conversant with robotic element / peripherals, their selection and interface with
manufacturing equipments.
3. To explain the basics of robot kinematics.
4. To explain the applicability of machine vision and various image processing methods.
5. Students should have knowledge of path control and trajectory planning.
Course Outcomes : Learners will be able
1. To know the robot systems and their applications in agile manufacturing.
2. To have knowledge of robotic peripherals, their selection and their utility.
3. To have knowledge of basic robot kinematics.
4. Be acquainted with various image processing techniques.
5. To know path control and different trajectory planning.
Module Detailed Contents Hrs.
01 Introduction: Automation & robotics, Robotic Sy stem & Anatomy Classification,
Future Prospects.
Robotic Application in Manufacturing: Material transfer, Machine loading & unl oading, Processing operations, Assembly
& Inspectors. Social Issues and Economics of robotics Drives: Control Loops, Basic Control System Concepts & Models, Control System
Analysis, Robot Activation & Feedback Components, Position & Velocity Sensors,
Actuators, Power Transmission Systems .
10
02 Robot & its Peripherals:
End Effecters - types, Mechanical & ot her grippers, Tool as end effecter
Sensors: Sensors in Robotics, Tactile Sensors, Proximity & Range Sensors, Sensor
Based Systems Robotic Cell Design & Control. 08
03 Robot Kinematics :
Coordinate Frames, Rotations, Homo geneous Coordinates, Arm Equation
of Planer Robot, Four axis SCARA R obot, TCV, Inverse Kinematics of
Planer Robot, Four Axis SCARA Robot.
10
04 Trajectory Planning & Robot Dynamics:
Manipulator Path Control- Linear, Quadratic and Cubic Interpolation, Work
Space Analysis, Robot Dynamics –Langrangian Dynamics of one and two
link robot arm.
08
05 Machine Vision:
Introduction, Low level & High level vision, Sensing & Digitizing, Image
processing & analysis, Segmentation, E dge detection, Object description&
recognition, Interpretation, Noises in Image, Applications, 08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 43 06 Programming For Robots: Methods, Robot programme as a path in space,
Motion interpolation, level & task level languages, Robot languages;
Programming in suitable languages Characteristics of robot
Robot Intellgence& Task Planning: Introduction, State space search,
Problem reduction, Use of predictive logic, Means -Ends Analysis, Problem
solving, Robot learning,Robot task planning. 08
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. YoremKoren, “Robotics for Engineers”
2. J. F. Engelberger, “Robotics in Practice”
3. Ulrich Rembolds, ChristialBlume, “Computer Integrated Manufacturing Technology and
Systems”
4. Ramamurthy, “Computer Aided Design in Mechanical Engineering”
5. Mark Spong, “Robot Dynamics and Control”, Wiley India
6. John Craig, “Robotics”
7. Paul R.P., “Robot Manipulators: Mathematics, Programming and Control”
8. Groover and Simmers,“Industrial Robotics”
9. Ernest Deoblin,“Measurement systems”
10. Beckwith and Lewisbuck, “Mechanical Measurements”
11. K. Ogata,“Modern Control Engineering”,PHI
12. Benjamin Kuo, “Automatic Control Systems”, Wiley India
13. Richard D. KIafter et al, “Robotic Engineering -an Integrated Approach”, PHI
14. Spyros G. Tzafestas, “Intelligent Robotic Systems”
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 44 Course Code Course Name Credits
CCC202 Advanced Manufact uring Technology 04
Objectives
1. To educate students about new advanced materials, their manufacturing techniques and
systems.
2. To understand various unconventional manufactu ring techniques, coating technologies for
improvement of surface qualities.
3. To integrate manufacturing elements within an organization and understand E-manufacturing
and collaborative manufacturing.
Outcomes: Learner will be able to…
1. Understand and apply various advanced manufacturing techniques
2. Analyse and optimise system requirements for advanced manufacturing systems
3. Understand the relevance of cloud computing in manufacturing domain by integration of manufacturing elements and usage of web based elements
Module Detailed Contents Hrs
01 Introduction to Advanced Manufacturing Technology
Need, examples with at least 2 case studies.
Introduction to various processes of manuf acturing and shaping of metals, ceramics,
plastics, composites, polymers, and natura l materials such as wood, rubber etc
6
02 Advanced Manufacturing processes – Introduction, Construction, Working
principle, Types, Process parameters, problems, merits, demerits and applications of :
Chemical Machining, Ultrasonic Machining, Electro-Chemical Machining, Electric
Discharge Machining, Electron Beam Machining, Plasma Arc Machining, Laser beam Machining and Ion Beam Machining. 10
03 Surface Treatments – Scope, Cleaners, Methods of cleaning, surface coating types,
Ceramic and organic methods of coating, economics of coating, Electro forming, CVD and PVD coating, Thermal spraying, Ion Implantations, Diffusion coating, Diamond coating and cladding. 10
04 Advanced Manufacturing Systems : Components of Manufacturing system, Single
station manufacturing cell, Manual Assembly lines, line balancing Algorithm, Mixed
model Assembly lines, Alternative Assembly systems, Automated production lines, Applications, Analysis of Transfer Lines. MRP-I & MRP-II Introduction to Rapid manufacturing and Tooling 15
05 Integration of Manufacturing Elements – Process Flow Design and Introduction to
Simulated Factory project using case studies. E-Manufacturing – Nano Manufacturing techniques and micro-machining, High
speed machining and hot machining 10
06 Collaborative Manufacturing: Definition and Concept,Aims of Collaborative
Manufacturing,Business Process Change Considerations for Collaborative
ManufacturingEnabling Technologies for Colla borative Manufacturing, Benefits and
Limitations of Collaborative Manufacturi ng, Cloud ManufacturingMethods, Models
and Tools for Enterprise Interoperability ,Detail case studies on various aspects of
Collaborative Manufacturing 05
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 45
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. SeropeKalpakjian and Stevan R. Schmid – Manufacturing Process Engg Materials – 2003.
2. Brehem T. Smith, Advanced Machining, I.F.S, UK, 1989
3. Nario Taniguchi, Nano Technology, Oxford University Press, 1996
4. HMT Manual, Non-Traditional Machining Methods
5. Automation, Prodcution Systems and Computer Integrated Manufacturing –
MikellP.Groover, PHI – 3rd Edition, 2012
6. Material Science and Engineering – W illiam Callister, John Wiley and Sons
7. Engg. Materials Technology, James A Jacob, Thomas F Kilduff – Pearson
8. Mechanical Metallurgy – George E. Dieter, McGraw Hill, 1998
9. Process and Materials of Manufacturing – R.A.Lindburg- PHI 1990
10. Advanced Machining Processes – V.K.Jain – Allied Publications
11. Introduction to Manufacturing Professes – John A Schey, McGraw Hill
12. Toyota Production System, TaichiOhno, Productivity Press, 1988, P.58
13. Womack, James P, Daniel T. Jones, Daniel Roos (1990), The Machine that changed the
world.
14. MuammerKoc, Jun Ni, Jay Lee, PulakBandyopadhyay, Introduction to e-manufacturing,
University of Michigan,2005, CRC Press. Pp.97.1 – 97.9
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 46
Course Code Course Name Credits
CCC203 Computer Aided Machining (CAM) 04
Objectives
1 To familiarize with CNC hardware.
2 To familiarize with operation and programming of CNC machines.
3 To familiarize with concepts of computer aided machining and its significance.
Outcomes: Learner will be able to…
1 Write and run CNC program for Turning and Milling.
2 Write program for CNC EDM and wire EDM
3 Do simple hardware designs
4 Do interfacing of drive systems with the machines
Module Detailed Contents Hrs.
01 Introduction to Computer Numerical Control .
History of various NC machines like TNC, NC, CNC, DNC, Elements of CAM, Various CNC applications in different indus tries, Computer control concepts, Data
processing units, Binary execution 8
02 CNC Hardware
Structure of CNC machine tools, Spindle design, Spindle and axis drives, Various
actuation systems and feedback devices like encoder, tachogenerator, etc.
8
03 CNC Control System and Machine Tools.
CNC motion controller, Linear, circular, helical interpolator, Positioning and
contouring control loops, MCU, adaptive control system, CNC machining centre,
turning, grinding, EDM, wire EDM, boring, turn mill and CNC gear cutting, Study
of two control systems.
8
04 CNC Tooling.
Latest CNC tool materials and manufactur ing, Turning and milling tool geometry,
Tool probing and presetting, Automatic Pallet Changer (APC) and Automatic Turret
Changer (ATC), Study of various probes and special tools.
10
05 CNC Programming.
Part programming fundamentals, Manual part programming methods, Various G &
M codes, Absolute and incremental system, TNRC, Tool length and diameter
compensation, Programming of turning, machining centre and EDM, Use of canned
cycles, loop, jump, subroutines, CAPP, APT, Post processing
10
06 R Parameter programming,Macros,3D programming 8
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 47
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. P. Radhakrishnan& S. Subramanyan “CAD/C AM/CIM” Willey Eastern Limited New Delhi.
2. Hans B. Kief and J. Frederick Waters “CNC” Glencae Macmillan / McGraw Hill 3. Steve Krar and Arthar Gill “CNC Technology and Programming”, McGraw Hill Pub.
Company, New Delhi. 4. P.N. Rao, N. K. Tewariet el “C AM” Tata McGraw Hill Pub. New Delhi
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 48
Course Code Course Name Credits
CCDLO2021 Smart Materials 04
Objectives
1. To study the working principles of various smart materials.
2. To identify applicability of various smart materials as actuator and sensor.
3. To study advances in smart materials
Outcomes: Learner will be able to…
1. Understand working of smart materials and their application as actuator and sensor.
2. Select an appropriate smart material for a given application.
3. Identify applicability of smart material s for new prospective smart structures
Module Detailed Contents Hrs.
01 Introduction to Smart Materials: Overview of the different types of Smart
Materials, Smart materials used in structures, smart material for sensors, actuators
controls, memory and energy storage and their inter-relationships , concept of High
bandwidth- low strain generating materials (HBLS), and Low Bandwidth High Strain Generating Ma terials (LBHS) 08
02 Important Concepts of Smart Materials: artificial skins, artificial muscles,
biomimetic materials, materials with tuna ble responses, non-linear properties, self
healing materials, adaptive structures, self replicating materials/structures, self assembly, inch worm devices, hysteresis, integrated sensing and actuation 10
03 Overview of the following materials with focus on synthesis,
constitutive/governing relationships, strengths and weaknesses, and applications
(both sensing and actuation etc)
1. Peizoelectric Materials
2. Magnetostrictive Materials 3. Shape Memory Alloys 4. Electroactive Polymers
10
04 Overview of the following materials with focus on synthesis, strengths and
weaknesses, and applications 1. Ferrofluids and Magneto rheological Fluids and applications in dampers
2. Soft Matter and its applications as smart skins, smart textiles etc
3. Carbon Nanotubes and Carbon nano-structures and its applications
4. Thermoelectric Materials and Peltier devices
08
05 Smart Materials for Energy
Applications: Materials used for energy
storage, Hydrogen Storage Materials,
Energy harvesting, Energy scavenging
from vibrations
08
06 Composite Materials: Introduction to Composite Materials, Nano Composite
Materials, Soft conducting and magnetic so lids, active fiber composites, Self-
heating cement/ polymer matrix composites 08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 49 Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. M.V. Gandhi and B.S. Thompson, “Smart Materials and Structures”, Chapman & Hall, London; New
York, 1992 (ISBN: 0412370107)
2. Mel Scwartz, “Encyclopedia of Smart Materials Vol. I and II”, John Wiley & Sons
3. SenolUtku, “Theory of Adaptive Structures : Incorporating Intelligence into Engineered Products”,
CRC Press
4. A.V. Srinivasan, “Smart Structures: Analysis an d Design”, Cambridge University Press,Cambridge;
New York, 2001 (ISBN: 0521650267)
5. G. Gautschi, “Piezoelectric Sensorics: Force, Strain, Pressure, Acceleration and Acoustic Emission
Sensors, Materials and Amplifiers”, Springer, Berlin; New York, 2002 (ISBN:3540422595)
6. K. Uchino, “Piezoelectric Actuators and Ultrasoni c Motors”, Kluwer Academic Publishers, Boston,
1997 (ISBN: 0792398114)
7. G. Engdahl, “Handbook of Giant Magnetostrictive Materials”, Academic Press, San Diego, Calif.;
London, 2000 (ISBN: 012238640X)
8. K. Otsuka and C.M. Wayman, “Shape Memory Materials”, Cambridge University Press,
Cambridge; New York, 1998 (ISBN: 052144487X) 9. Eric Udd, “Fiber Optic Sensors: An Introduction for Engineers and Scientists”, John Wiley & Sons,
New York, 1991 (ISBN: 0471830070)
10. André Preumont, “Vibration Control of Active Structures: An Introduction”, 2nd Edition, Kluwer
Academic Publishers, Dordrecht; Boston, 2002 (ISBN: 1402004966)
11. HojjatAdeli, “Control, Optimization, and Smart Structures: High-Performance Bridges and Buildings
of the Future”, John Wiley, New York, 1999 (ISBN: 047135094X)
12. T.T. Soong, “Passive Energy Dissipation Systems in Structural Engineering”, Wiley, Chichester; New
York, 1997 (ISBN: 0471968218)
13. V.K. Wadhawan, Smart Structures: Blurring the Distinction Between the Living and Nonliving
,Oxford University Press, Oxford (2007)
14. H.T. Banks, R.C. Smith and Y Wang, “ Smart Structures: Modeling, Estimation and Control” , Wiley,
New York (1996)
15. Shape Memory Alloys , (ed) D.C. Lagoudas, Springer Science (2008)
16. S.K. Ghosh , “ Self-healing Materials: Fundamentals, Design Strategies and Applications, Wiley-VCH
Verlag GmbH and Co. (2009)
17. Kwang J KIm and Satoshi Tadokore, “Electroactive Polymers for Robotic Applications: Artificial
Muscles and Sensors ”, Springer-Verlag, London (2007)
18. S Priya and D J Inman, “ Energy Harvesting Technologies” , Springer-Verlag (2008)
19. MoriakiWakaki, “ Optical Materials and Applications ”, CRC Press (2012)
20. S.S. Ray and M Bousmina, “ Polymer Nanocomposites and their Applications” , American Scientific
Publishers (2008)
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 50 Course Code Course Name Credits
CCDLO2022 Rapid Manufacturing 04
Objectives:
1. To acquaint with various rapid manufacturing technologies.
2. To familiarize with various software solutions for designing and developing products using rapid
manufacturing techniques.
3. To familiarize with applications of these techni ques in various engineering and biomedical fields.
Outcomes:
Learner will be able to...
1. Demonstrate understanding of vari ous rapid manufacturing techniques.
2. Develop competency in designing and developi ng products using rapid manufacturing technology.
Module Detailed Contents Hrs
01 Rapid Manufacturing
• Historical Development
• Additive, Subtractive and Formative Manufacturing
• Applications: Design, Planning, Manufacturing and Tooling
• Applications: Automotive, Aerospace, Electronics, Jewelry, Bio-
Medical
• Fundamentals of Rapid Prototyping and Manufacturing, Design Process
• Rapid Prototyping and Manufacturing Process Chain
• Classification of Additive Manufacturing Processes 8
02 Rapid Manufacturing System and Methodology
• Subsystems of RP machine
• Optical System
• Mechanical Scanning System
• Computer Interfacing hardware, DAQs
• Signal Flow, 3D Model to RP Prototype
• Introduction to 3D Modeling Softwares (Auto-CAD, PROE, CATIA,
SOLIDWORKS, IDEAs etc.)
• File Formats: IGES, STEP, DXF, STL
• Slicing and Scan Path Generation Algorithms
• Data Conversion and Transmission
• Data Validity and Repair
• Preprocessing and Post-processing
• Properties of the prototype/part: Mate rial properties, color, dimensional
accuracy, stability, surface finish, machinability, environmental
resistance, operational properties 10
03 Liquid Based Rapid Prototyping Systems
• Materials
• Stereolithography
• Solid Ground Curing
• Solid Object UV (Ultra-Violet) Printer
• Micro-stereolithography 8
04 Solid Based Rapid Prototyping Systems
• Materials
• LOM (Laminated Object Manufacturing) System
• FDM (Fused Deposition Modeling) System
• Multi-Jet Modeling (MJM) System
• Model Maker and Pattern Master
• Shape Deposition Manufacturing Process
8
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 51 05 Powder Based Rapid Prototyping Systems
• Materials
• SLS (Selective Laser Sintering)
• (3DP) Three-Dimensional Printing
• (LENS) Laser Engineered Net Shaping
• (MJS) Multiphase Jet Solidification
• (EBM) Electron Beam Melting 8
06 Advances in Rapid Manufacturing and Case Studies
Advances in Rapid Manufacturing: Resolution & Accuracy issues, Integrated
Hardening Process, Reverse Engineer ing Process and Applications, Metal
Additive Manufacturing, Two Photon Process for Micro/Nano Fabrication,
Printing with Biocompatible Materials,
Case Study: Investment Casting with RP
Case Study: Wind-Tunnel Testing with RP Models,
Case Study: Manufacture of Human implants and prosthesis 10
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
• Chua C.K., Leong K.F., and Lim C.S., “Rapid Prototyping Principles and Applications”,
World Publishing Co. Pte. Ltd.
• Gibson, D.W. Rosen, and B. Stucker, “Additive Manufacturing Technologies Rapid
Prototyping to Direct Digital Manufacturing”, 2010, Springer Inc.
• Ali Kamrani, EmadAbouel Nasr, “Rapid Prototyping Theory and Practice”, 2006, Springer
Inc.
• BopayaBidanda, Paulo J. Bartolo, “Virtual Prototyping and Bio Manufacturing in Medical
Applications”, 2008, Springer Inc.
• RafiqNoorani, Rapid Prototyping: Principles and Applications, John Wiley & Sons, Inc.,
2006, ISBN 0-471-73001-7
• James O. Hamblen, and Michael D. Furman, “Rapid Prototyping of Digital Systems”, Kluwer
Academic Publishers.
• Kenneth G. Cooper, “Rapid Prototyping Technology Selection and Application”, 2001,
Marcel Dekker Inc, New York.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 52 Course Code Course Name Credits
CCDLO2023 Mirco Electro M echanical Systems 04
Course Prerequisite:
Sensors, Actuators, Instrumentation system and VLSI Technology
Objectives
1. To understand the basic characteristics of MEMS and its processing steps.
2. To demonstrate the use of semiconductor based pr ocessing modules used in the fabrication of
variety
of sensors and actuators (e.g. pressure sensor s, accelerometers, etc.) at the micro-scale.
3. To understand the of basic design and operation of MEMS sensors and actuators with proper
characterization.
4. To make use of the MEMS devices for real time applications
Outcomes: Learner will be able to
1. Understand the underlying fundamental princi ples of MEMS devices including physical
operation, mathematical modeling
2. Select the appropriate material and pro cesses while fabrication of MEMS devices
3. Design and simulate MEMS devices and sy stem using standard simulation tools.
4. Develop different concepts of micro system sens ors and actuators for real-world applications.
Modul
e No. Detailed contents Hours
1 Introduction to MEMS
04 Introduction to MEMS & its characteristic s, Real world Sensor/Actuator examples
(DMD, Air- bag, pressure sensors). MEMS Sensors in Internet of Things (IoT),
BioMedical Applications
2 MEMS Materials and their Properties
10 Materials (eg. Si, SiO2, SiN, Cr, Au, Ti, SU8, PMMA, Pt); Importan t
properties:Young modulus, Poisson’s ratio, density, piezoresistive coefficients,
TCR, Thermal Conductivity, Material Structure. Understanding Selection o f
materials based on applications
3 Fabrication Processes common to MEMS
10 Understanding MEMS Processes & Process parameters for: Cleaning, Growth &
Deposition, Ion Implantation & Diffusion, Annealing, Lithography. Understandingselection of Fab processes based on Applications
4 MEMS Specific Fabrication Processes
08 Understanding MEMS Processes & Proces s parameters for: Wet & Dry etching,
Bulk & Surface Micromachining, Die, Wire & Wafer Bonding, Dicing, Packaging.
Understanding selection of Fab pr ocesses based on Applications
5 MEMS Devices: Architecture and working
10 basic quantitative behaviour of Cantilevers, Micro-heaters, Accelerometers, Pressure
Sensors, Micro-mirrors in DMD, Inkjet printer-head. Understanding steps involved
in Fabricating above devices. Piezoresistanc e, TCR, Stiffness, Adhesion, Vibration,
Resonant frequency, & importance of these measurements in studying device behavior, MEMS Reliability
6 Applications of MEMS devices
10 Industrial applications with detailed unders tanding of role of MEMS as sensors and
actuators with proper case studies.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 53 Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. An Introduction to Microelectromechanical Systems Engineering; 2nd Ed - by N.Maluf, K Williams; Publisher: Artech House Inc 2. Practical MEMS - by Ville Kaajakar i; Publisher: Small Gear Publishing
3. Microsystem Design - by S. Senturia; Publisher: Springer
4. Analysis and Design Principles of MEMS De vices - MinhangBao; Publisher:Elsevier Science
5. Fundamentals of Microfabrication - by M. Madou; Publisher: CRC Press; 2 edition
6. Micro Electro Mechanical System Design - by J. Allen; Publisher: CRC Press 7. Micromachined Transducers Sourcebook - by G. Kovacs; Publisher: McGraw-Hill
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 54 Course Code Course Name Credits
CCDLO2024 Optimization 04
Objectives
1 .To understand various linear, nonlinear and other optimization techniques.
2 .To understand various decision making methods.
Outcomes: Learner will be able to…
1. Formulate the problem as LPP and analyse the sensitivity of a decision variable.
2. Apply various linear and non linear techniques for problem solving in various domain.
3. Apply decision making methods for problem in manufacturing environment and other domain.
Module Detailed content Hours
1 Basic Concepts: Statement of the Optimization Problem, Basic
Definitions, Optimality Criteria f o r U n c o n s t r a i n e d Optimization, OptimalityCriteria for Constrai ned Optimization, Engineering
Application of Optimization, Over view of optimizat ion technique,
Interdisciplinary nature, Intro duction to related software. 06
2 Linear Programming Problem:
Formulation, Simplex method, Big M Method, Two Phase, Primal to
Dual, Dual Simplex method, Sensitivity Analysis. 10
3 Integer L.P. Model:
Gomory's cutting plane method, Branch & Bound Technique.
Non L.P. Model: Lagrangian method & Kuhn tucker
Method.
08
4 Multi Criterion Decision-making (MCDM) Methods:
Introduction to multi criterion optimization, Simple Additive Weighting
(SAW) Method, Weighted Product Method (WPM), Analytic Networ k
Process (ANP), Analytic Hierarchy Process (AHP) Method,TOPSISMethod, PROMETHEE
Multi Objective Decision making (MODM) Methods:
Introduction to Multi objective optimization, Traditional Techniques such
as, quadratic programming, geometric programming, Numerical on goal
programming and dynamic programming.
10
5 Newtonian Method: Newton's method, Marquardt's method, Quasi
Newton method.
Discrete Event Simulation: Generation of Random Variable, Simulation
Processes, Monte-Carlo Technique. 08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 55 6 Robust Design Methods: DOE and Taguchi techniques Response Surfac e
Method : Response Surface,TheLeast-SquaresMethods, Two-Level Factorial
Design, Addition of Center Points, Central Composite Design(CCD),
Sequential Nature of RSM.
10
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. RanjanGanguli, "Engineering Optimization - A Modern Approach" Universities Press
2. Pablo Pedregal, "Introduction to Optimization", Springer
3. S.S. Rao, "Engineering Optimi zation - Theory and Practice", John Wiley and Sons Inc.
4. L.C. Jhamb, "Quantitative Techniques Vol. 1 and 2", Everest Pub. House
5. Pierre D.A., "Optimization, Theory with Application", John Wiley & sons.
6. Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple
Attribute Decision Making by R V Rao (Springer Publication).
7. Neural Computation and Self-Organizing Maps by Ritter, H., Martinetz, T., &Schulten, K.,
Addison-Wesley Publishing Company.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 56
Course Code Course Name Credits
ILO2021 Project Management 03
Objectives:
1. To familiarize the students with the use of a structured methodology/approach for each and every
unique project undertaken, including utilizing project management concepts, tools and techniques.
2. To appraise the students with the project manage ment life cycle and make them knowledgeable about
the various phases from project initiation through closure.
Outcomes: Learner will be able to…
1. Apply selection criteria and select an ap propriate project from different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with them strategically.
4. Use Earned value technique and determin e & predict status of the project.
5. Capture lessons learned during project phases and document them for future reference
Module Detailed Contents Hrs
01 Project Management Foundation:
Definition of a project, Project Vs Operations, Necessity of project management, Triple
constraints, Project life cycles (typical & atypical) Project phases and stage gate
process. Role of project manager. Negotiations and resolving conflicts. Project
management in various organization structures. PM knowledge areas as per Project
Management Institute (PMI).5
02 Initiating Projects:
How to get a project started, Selecting proj ect strategically, Project selection models
(Numeric /Scoring Models and Non-numeric models), Project portfolio process, Project
sponsor and creating charter; Project proposal. Effective project team, Stages of team
development & growth (forming, storming, norming & performing), team dynamics. 6
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linea r responsibility chart, Interface
Co-ordination and concurrent engineering, Project cost estimation and budgeting, Top
down and bottoms up budgeting, Networking and Scheduling techniques. PERT, CPM,
GANTT chart. Introduction to Pro ject Mana gement Information S ystem (PMIS). 8
04 Planning Projects:
Crashing project time, Resource loading and leveling, Goldratt's critical chain, Project
Stakeholders and Communication plan. Risk Management in projects: Risk manageme nt planning, Risk identification and risk
register. Qualitative and quantitative risk assessment, Probability and impact matrix.
Risk response strategies for positive and negative risks6
05 5.1 Executing Projects: Planning monitoring and controlling cycle. Information needs and reporting, engaging with all stakeholders of the projects. Team management, communication and project meetings.
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for me asuring value of work completed; Using
milestones for measurement; change requests and scope creep. Project audit.
5.3 Project Contracting
Pro
ject procurement mana gement, contractin g and outsourcin g,8
06 6.1 Project Leadership and Ethics:
Introduction to project leadership, ethics in projects.Multicultural and virtual projects.
6.2 Closing the Project:
Customer acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integr ation, Starvation), Process of project
termination, completing a final report; doin g a lessons learned analysis; acknowledging
successes and failures; Project management templates and other resources; Managing
without authority; Areas of further study. 6
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 57
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Jack Meredith & Samuel Mantel, Project Management: A managerial approach, Wiley India, 7thEd.
2. A Guide to the Project Management Body of Knowledge (PMBOK® Guide), 5th Ed, Project
Management Institute PA, USA
3. Gido Clements, Project Management, Cengage Learning.
4. Gopalan, Project Mana gement, , Wiley India
5. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 58
Course Code Course Name Credits
ILO 2022 Finance Management 03
Objectives:
1. Overview of Indian financial system, instruments and market
2. Basic concepts of value of money, returns and risks, corporate finance, working capital and its
management
3. Knowledge about sources of finance, capital structure, dividend policy
Outcomes: Learner will be able to…
1. Understand Indian finance system and corporate finance
2. Take investment, finance as well as dividend decisions
Module Detailed Contents Hrs
01 Overview of Indian Financial System: Characteristics, Components and Functions of
Financial System.
Financial Instruments: Meaning, Characteristics and Classification of Basic Financial
Instruments — Equity Shares, Preference Shares, Bonds-Debentures, Certificates of
Deposit, and Treasury Bills.
Financial Markets: Meaning, Characteristics and Classification of Financial Markets
— Capital Market, Money Market and Foreign Currency Market
Financial Institutions: Meaning, Characteristics and Classification of Financial
Institutions — Commercial Banks, Investment-Merchant Banks and Stock Exchanges 06
02 Concepts of Returns and Risks: Measurement of Historical Returns and Expected
Returns of a Single Security and a Two-secu rity Portfolio; Measurement of Historical
Risk and Expected Risk of a Single Security and a Two-security Portfolio. Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and Annuity
Due; Present Value of a Lump Sum, Ordinary Annuity, and Annuity Due; Continuous
Compounding and Continuous Discounting. 06
03 Overview of Corporate Finance: Objectives of Corporate Finance; Functions of
Corporate Finance—Investment Decision, Fi nancing Decision, and Dividend Decision.
Financial Ratio Analysis: Overview of Financial Statements—Balance Sheet, Profit
and Loss Account, and Cash Flow Statem ent; Purpose of Financial Ratio Analysis;
Liquidity Ratios; Efficiency or Activity Ra tios; Profitability Ratios; Capital Structure
Ratios; Stock Market Ratios; Limitations of Ratio Analysis. 09
04 Capital Budgeting: Meaning and Importance of Capita l Budgeting; Inputs for Capital
Budgeting Decisions; Investment Apprai sal Criterion—Accountin g Rate of Return,
Payback Period, Discounted Payback Period , Net Present Value(NPV), Profitability
Index, Internal Rate of Return (IRR), and Modified Internal Rate of Return (MIRR)
Working Capital Management: Concepts of Meaning Working Capital; Importance of
Working Capital Management; Factors Affecting an Entity’s Working Capital Needs;
Estimation of Working Capital Requirements; Management of Inventories;
Management of Receivables; and Manageme nt of Cash and Marketable Securities. 10
05 Sources of Finance: Long Term Sources—Equity, Debt, and Hybrids; Mezzanine
Finance; Sources of Short Term Finance— Trade Credit, Bank Finance, Commercial
Paper; Project Finance.
Capital Structure: Factors Affecting an Entity’s Capital Structure; Overview of
Capital Structure Theories and Approaches— Net Income Approach, Net Operating
Income Approach; Traditional Approach, an d Modigliani-Miller Approach. Relation
between Capital Structure and Corporate Value; Concept of Optimal Capital Structure
05
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 59 06 Dividend Policy: Meaning and Importance of Dividend Policy; Factors Affecting an
Entity’s Dividend Decision; Overview of Dividend Policy Theories and Approaches—
Gordon’s Approach, Walter’s Appro ach, and Modigliani-Miller Approach 03
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Fundamentals of Financial Management, 13th Edition (2015) by Eugene F. Brigham and Joel F.
Houston; Publisher: Cengag e Publications, New Delhi.
2. Analysis for Financial Management, 10th Edition (2013) by Robert C. Higgins; Publishers: McGraw
Hill Education, New Delhi.
3. Indian Financial System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill Education, New
Delhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) & Company
Limited, New Delhi.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 60
Course Code Course Name Credits
ILO2023 Enterpreneurship Development and
Management 03
Objectives:
1. To acquaint with entrepreneurship and management of business
2. Understand Indian environment for entrepreneurship
3. Idea of EDP, MSME
Outcomes: Learner will be able to…
1. Understand the concept of business plan and ownerships
2. Interpret key regulations and legal aspects of entrepreneurship in India
3. Understand government policies for entrepreneurs
Module Detailed Contents Hrs
01 Overview Of Entrepreneurship: Definitions, Roles and Functions/Values of
Entrepreneurship, History of Entrepreneurship Development, Role of Entrepreneurship
in the National Economy, Functions of an En trepreneur, Entrepreneurship and Forms of
Business Ownership Role of Money and Capital Markets in En trepreneurial Development: Contribution of
Government Agencies in Sourcing information for Entrepreneurship 04
02 Business Plans And Importance Of Capital To Entrepreneurship: Preliminary and
Marketing Plans, Management and Personnel, Start-up Costs and Financing as well as
Projected Financial Statements, Legal Sec tion, Insurance, Suppliers and Risks,
Assumptions and Conclusion, Capital and its Importance to the Entrepreneur
Entrepreneurship And Business Development: Starting a New Business, Buying an
Existing Business, New Product Development, Business Growth and the Entrepreneur
Law and its Relevance to Business Operations 09
03 Women’s Entrepreneurship Development, Social entrepreneurship-role and need, EDP
cell, role of sustainability and sustainable development for SMEs, case studies,
exercises 05
04 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, scheme s and policies of the Ministry of MSME,
role and responsibilities of various government organisations, departments, banks etc.,
Role of State governments in terms of infr astructure developments and support etc.,
Public private partnerships, National Skill development Mission, Credit Guarantee Fund, PMEGP, discussions, group exercises etc 08
05 Effective Management of Business: Issues and problems faced by micro and small
enterprises and effective management of M and S enterprises (risk management, credit
availability, technology innovation, supply chain management, linkage with large
industries), exercises, e-Marketing 08
06 Achieving Success In The Small Business: Stages of the small business life cycle, four
types of firm-level growth strategies, Options – harvesting or closing small business
Critical Success factors of small business 05
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 61
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. PoornimaCharantimath, Entrepreneurship develo pment- Small Business Enterprise, Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship, latest edition, The
McGrawHill Company
3. Dr TN Chhabra, Entrepreneurship Development, Sun India Publications, New Delhi
4. Dr CN Prasad, Small and Medium Enterprises in Gl obal Perspective, New century Publications, New
Delhi
5. Vasant Desai, Entrepreneuria l development and management, Himalaya Publishing House
6. MaddhurimaLall, ShikahSahai, En trepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication Ltd.
9. Kurakto, Entrepreneurship- Principles and Practices, Thomson Publication
10. LaghuUdyogSamachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 62
Course Code Course Name Credits
ILO2024 Human Resource Management 03
Objectives:
1. To introduce the students with basic concepts , techniques and practices of the human resource
management.
2. To provide opportunity of learning Human resource management (HRM) processes, related with the
functions, and challenges in the emerging perspective of today’s organizations.
3. To familiarize the students about the latest developments, trends & different aspects of HRM.
4. To acquaint the student with the importance of in ter-personal & inter-group behavioral skills in an
organizational setting required for future stable engineers, leaders and managers.
Outcomes: Learner will be able to…
1. Understand the concepts, aspects, techniques and practices of the human resource management.
2. Understand the Human resource management (HRM) processes, functions, changes and challenges in
today’s emerging organizational perspective.
3. Gain knowledge about the latest developments and trends in HRM.
4. Apply the knowledge of behavioral skills learnt and integrate it with in inter personal and intergroup
environment emerging as future stable engineers and managers.
Module Detailed Contents Hrs
01 Introduction to HR
Human Resource Management- Concept, Scope and Importance,
Interdisciplinary Approach Relationship with other Sciences, Competencies of
HR Manager, HRM functions.
Human resource development (HRD): changing role of HRM – Human
resource Planning, Technological change, Restructuring and rightsizing,
Empowerment, TQM, Managing ethical issues. 5
02 Organizational Behavior (OB)
Introduction to OB Origin, Nature and Scope of Organizational Behavior,
Relevance to Organizational Effectiv eness and Contemporary issues
Personality: Meaning and Determinants of Personality, Personality
development, Personality Types, Asse ssment of Personality Traits for
Increasing Self Awareness
Perception: Attitude and Value, Effect of perception on Individual Decision-
making, Attitude and Behavior.
Motivation: Theories of Motivation and their Applications for Behavioral
Change (Maslow, Herzberg, McGregor);
Group Behavior and Group Dynamics: Work groups formal and informal
groups and stages of group developmen t. Team Effectiveness: High performing
teams, Team Roles, cross func tional and self-directed team.
Case study 7
03 Organizational Structure &Design
Structure, size, technology, Environmen t of organization; Organizational Roles
& conflicts: Concept of roles; role dynamics; role conflicts and stress.
Leadership: Concepts and skills of leader ship, Leadership and managerial roles,
Leadership styles and contemporary issues in leadership.
Power and Politics: Sources and uses of power; Politics at workplace, Tactics
and strategies. 6
04 Human resource Planning
Recruitment and Selection process, Job-enrichment, Empowerment - Job-
Satisfaction, employee morale.
Performance Appraisal Systems: Traditional & modern methods, Performance
Counseling, Career Planning. 5
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 63 Training & Development: Identification of Training Needs, Training Methods
05 Emerging Trends in HR
Organizational development; Business Process Re-engineering (BPR), BPR as a
tool for organizational development , ma naging processes & transformation in
HR. Organizational Change, Culture, Environment
Cross Cultural Leadership and Decision Making : Cross Cultural
Communication and diversity at work , Causes of diversity, managing diversity
with special reference to handicapped, women and ageing people, intra
company cultural difference in employee motivation. 6
06 HR & MIS
Need, purpose, objective and role of informa tion system in HR, Applications in HRD in
various industries (e.g. manufacturing R&D, Public Transport, Hospitals, Hotels and
service industries Strategic HRM
Role of Strategic HRM in the modern business world, Concept of Strategy, Strategic Management Process, Approaches to Strate gic Decision Making; Strategic Intent –
Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations Evolution of IR, IR issues in organizations, Overview of Labor Laws in India; Industrial Disputes Act, Trade Unions Act, Shops and Establishments Act 10
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
2. V S P Rao, Human Resource Management, 3rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: Text & cases, 6th edition, 2011
4. C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India, 15th Ed, 2015, Himalaya
Publishing, 15thedition, 2015
5. P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5th Ed, 2013,
Himalaya Publishing
6. Laurie Mullins, Management & Organizational Be havior, Latest Ed, 2016, Pearson Publications
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 64
Course Code Course Name Credits
ILO2025 Professional Ethi cs and Corporate Social
Responsibility (CSR) 03
Objectives:
1. To understand professional ethics in business
2. To recognized corporate social responsibility
Outcomes: Learner will be able to…
1. Understand rights and duties of business
2. Distinguish different aspects of corporate social responsibility
3. Demonstrate professional ethics
4. Understand legal aspects of co rporate social responsibility
Module Detailed Contents Hrs
01 Professional Ethics and Business: The Nature of Business Ethics; Ethical Issues in
Business; Moral Responsibility and Blame; Utilitarianism: Weighing Social Costs and
Benefits; Rights and Duties of Business 04
02 Professional Ethics in the Marketplace: Perfect Competition; Monopoly Competition;
Oligopolistic Competition; Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and Resource
Depletion; Ethics of Pollution Control; Ethics of Conserving Depletable Resources 08
03 Professional Ethics of Consumer Protection: Markets and Consumer Protection;
Contract View of Business Firm’s Duties to Consumers; Due Care Theory; Advertising
Ethics; Consumer Privacy
Professional Ethics of Job Discrimination: Nature of Job Discrimination; Extent of
Discrimination; Reservation of Jobs. 06
04 Introduction to Corporate Social Responsibility: Potential Business Benefits—Triple
bottom line, Human resources, Risk manage ment, Supplier relations; Criticisms and
concerns—Nature of business; Motives; Misdirection.
Trajectory of Corporate Social Responsibility in India 05
05 Corporate Social Responsibility: Articulation of Gandhian Trusteeship
Corporate Social Responsibility and Small an d Medium Enterprises (SMEs) in India,
Corporate Social Responsibility and Pub lic-Private Partnership (PPP) in India 08
06 Corporate Social Responsibility in Globalizing India: Corporate Social
Responsibility Voluntary Guidelines, 2009 issued by the Ministry of Corporate Affairs,
Government of India, Legal Aspects of Corporate Social Responsibility—Companies
Act, 2013. 08
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 65
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Business Ethics: Texts and Cases from the Indian Pe rspective (2013) by Ananda Das Gupta; Publisher:
Springer.
2. Corporate Social Responsibility: Readings and Case s in a Global Context (2007) by Andrew Crane,
Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases, 7th Edition (2011) by Manuel G. Velasquez; Publisher: Pearson,
New Delhi.
4. Corporate Social Responsibility in India (2015) by BidyutChakrabarty, Routledge, New Delhi.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 66
Course Code Course Name Credits
ILO2026 Research Methodology 03
Objectives:
1. To understand Research and Research Process
2. To acquaint students with identifying problems for research and develop research strategies
3. To familiarize students with the techniques of data collection, analysis of data and interpretation
Outcomes: Learner will be able to…
1. Prepare a preliminary research design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or situations clearly
4. Review and analyze research findings
Module Detailed Contents Hrs
01 Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Cons truct, Postulate, Proposition, Thesis,
Hypothesis, Law, Principle.Research methods vs Methodology 1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteristics of Research:Systematic, Valid, Verifiable, Empirical and Critical 09
02 Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirical Research
2.6 Qualitative and Quan titative Approaches 07
03 Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Es sentials of a good sampling Stages in
Sample Design Sampling methods/techniques Sampling Errors 07
04 Research Methodology
4.1 Meaning of Research Methodology
4.2. Stages in Scientific Research Process:
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report 08
05 Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Av ailability, Choice of data, Analysis of
data, Generalization and In terpretation of analysis 04
06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation 04
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 67 Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Dawson, Catherine, 2002, Practical Research Met hods, New Delhi, UBS Publishers Distributors.
2. Kothari, C.R.,1985, Research Methodology-Metho ds and Techniques, New Delhi, Wiley Eastern
Limited.
3. Kumar, Ranjit, 2005, Research Methodology-A Step-by-Step Guide for Beginners, (2nded), Singapore,
Pearson Education
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 68
Course Code Course Name Credits
ILO2027 IPR and Patenting 03
Objectives:
1. To understand intellectual property rights protection system
2. To promote the knowledge of Intellectual Property Laws of India as well as International treaty
procedures
3. To get acquaintance with Patent search and patent filing procedure and applications
Outcomes: Learner will be able to…
1. understand Intellectual Property assets
2. assist individuals and organizations in capacity building
3. work for development, promotion, protection, co mpliance, and enforcement of Intellectual Property
and Patenting
Module Detailed Contents Hr
01 Introduction to Intellectual Property Rights (IPR) : Meaning of IPR, Different
category of IPR instruments - Patents, Trademarks,Copyrights, Industrial Designs, Plant variety protection, Geographical indica tions,Transfer of technology etc.
Importance of IPR in Modern Global Economic Environment: Theories of IPR,
Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of development 05
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of problem,
Factors that create and sustain counterfeiting/piracy, International agreements,
International organizations (e.g. WIPO, WTO) active in IPR enforcement Indian Scenario of IPR: Introduction, History of IPR in India, Overview of IP laws in
India, Indian IPR, Administrative Machiner y, Major international treaties signed by
India, Procedure for submitting patent and Enforcement of IPR at national level etc. 07
03 Emerging Issues in IPR: Challenges for IP in digital economy, e-commerce, human
genome, biodiversity and traditional knowledge etc. 05
04 Basics of Patents: Definition of Patents, Conditions of patentability, Patentable and
non-patentable inventions, Types of patent applications (e.g. Patent of addition etc),
Process Patent and Product Patent, Precautio ns while patenting, Patent specification
Patent claims, Disclosures and non-disclosure s, Patent rights and infringement, Method
of getting a patent 07
05 Patent Rules: Indian patent act, European scenario, US scenario, Australia scenario,
Japan scenario, Chinese scenario, Multilateral treaties where India is a member (TRIPS
agreement, Paris convention etc.) 08
06 Procedure for Filing a Patent (National and International): Legislation and Salient
Features, Patent Search, Drafting and Filing Pa tent Applications, Processing of patent,
Patent Litigation, Patent Publication, Time frame and cost, Patent Licensing, Patent
Infringement
Patent databases: Important websites, Searching international databases 07
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 69 Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights in India,
The Institute of Chartere d Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National Working Group on
Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human Development: Current
Trends and Future Scenario, Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents, Copyrights, Trade
Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. LousHarns, 2012, The enforcement of Inte llactual Property Rights: A Case Book, 3rd Edition, WIPO
7. PrabhuddhaGanguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition, Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2-11, Intellectual Property Rights, 2nd Edition, Serial
Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st Edition, BS
Publications
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual Property
Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and Engineers, World
Scientific Publishing Company
13. N S Rathore, S M Mathur, PritiMathur, AnshulRathi , IPR: Drafting,Interpretation of Patent
Specifications and Claims , New India Publishing Agency
14. Vivien Irish, 2005, Intellectual Property Rights for Engineers,IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scientists, Wiley-IEEE Press
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 70
Course Code Course Name Credits
ILO2028 Digital Business Management 03
Objectives:
1. To familiarize with digital business concept
2. To acquaint with E-commerce
3. To give insights into E-business and its strategies
Outcomes: The learner will be able to …..
1. Identify drivers of digital business
2. Illustrate various approaches and tech niques for E-business and management
3. Prepare E-business plan
Module Detailed content Hours
1 Introduction to Digital Business-
Introduction, Background and current status, E-market places, structures,
mechanisms, economics and impacts
Difference between physical ec onomy and digital economy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud Computing,
Social media, BYOD, and Internet of Things(digitally intelligent machines/services) Opportunities and Challenges in Digital Business, 09
2 Overview of E-Commerce
E-Commerce- Meaning, Retailing in e-commerce-products and services,
consumer behavior, market research and advertisement
B2B-E-commerce-selling and buying in private e-markets, public B2B exchanges
and support services, e-supply chains, Collaborative Commerce, Intra business EC
and Corporate portals Other E-C models and applications, innovative EC System-From E-government and learning to C2C, mobile commerce and pervasive computing EC Strategy and Implementation-EC strategy and global EC, Economics and Justification of EC, Using Affiliate ma rketing to promote your e-commerce
business, Launching a successful online bus iness and EC project, Legal, Ethics
and Societal impacts of EC 06
3 Digital Business Support services : ERP as e –business backbone, knowledge
Tope Apps, Information and referral system Application Development: Building Digital business Applications and
Infrastructure 06
4 Managing E-Business -Managing Knowledge, Management skills for e-business,
Managing Risks in e –business Security Threats to e-business -Security Overview, Electronic Commerce Threats,
Encryption, Cryptography, Public Key and Private Key Cryptography, Digital
Signatures, Digital Certificates, Security Protocols over Public Networks: HTTP,
SSL, Firewall as Security Control, Public Key Infrastructure (PKI) for Security,
Prominent Cryptographic Applications 06
5 E-Business Strategy -E-business Strategic formulation- Analysis of Company’s
Internal and external environment, Selection of strategy, E-business strategy into Action, challenges and E-Transition
(Process of Digital Transformation) 04
6 Materializing e-business: From Idea to Realization -Business plan preparation
Case Studies and presentations 08
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 71
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
References:
1. A textbook on E-commerce , ErArunrajan Mishra, Dr W K Sarwade,Neha Publishers & Distributors,
2011
2. E-commerce from vision to fulfilment , Elias M. Awad, PHI-Restricted, 2002
3. Digital Business and E-Commerce Management, 6th Ed, Dave Chaffey, Pearson, August 2014
4. Introduction to E-business-Management an d Strategy, Colin Combe, ELSVIER, 2006
5. Digital Business Concepts and Strategy, Eloise Coupey, 2nd Edition, Pearson
6. Trend and Challenges in Digital Business Innovation, VinocenzoMorabito, Springer
7. Digital Business Discourse Erika Dari cs, April 2015, Palgrave Macmillan
8. E-Governance-Challenges and Oppo rtunities in : Proceedings in 2nd International Conference theory
and practice of Electronic Governance
9. Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting journal Vol.5
10. Measuring Digital Economy-A new perspective -DOI:10.1787/9789264221796-enOECD Publishing
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 72
Course Code Course Name Credits
ILO2029 Environmental Management 03
Objectives:
1. Understand and identify environmental issues relevant to India and global concerns
2. Learn concepts of ecology
3. Familiarise environment related legislations
Outcomes: Learner will be able to…
1. Understand the concept of environmental management
2. Understand ecosystem and interdependence, food chain etc.
3. Understand and interpret environment related legislations
Module Detailed Contents Hrs
01 Introduction and Definition of Enviro nment: Significance of Environment
Management for contemporary ma nagers, Career opportunities.
Environmental issues relevant to India, Sustainable Development, The Energy
scenario. 10
02 Global Environmental concerns : Global Warming, Acid Rain, Ozone Depletion,
Hazardous Wastes, Endangered life-species, Loss of Biodiversity, Industrial/Man-
made disasters, Atomic/Biomedical hazards, etc. 06
03 Concepts of Ecology: Ecosystems and interdependence between living organisms,
habitats, limiting factors, carrying capacity, food chain, etc. 05
04 Scope of Environment Management, Role & functions of Government as a planning
and regulating agency.
Environment Quality Management and Co rporate Environmental Responsibility 10
05 Total Quality Environmental Management , ISO-14000, EMS certification. 05
06 General overview of major legi slations like Environment Protection Act, Air (P & CP)
Act, Water (P & CP) Act, Wildlife Protecti on Act, Forest Act, Factories Act, etc. 03
Assessment:
Internal:
Assessment consists of two tests out of wh ich; one should be compulsory class test (on minimum
Two Modules) and the other is either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lect ure hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 73
References:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers London, 1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G. Ockwell, Edward
Elgar Publishing
3. Environmental Management, T V Ramachandra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Sy stems — Requirements With Guidance For Use,
Bureau Of Indian Standards, February 2005
5. Environmental Management: An Indian Perspective, S N Chary and Vinod Vyasulu, Maclillan India,
2000
6. Introduction to Environmental Management, Mary K Theodore and Louise Theodore, CRC Press
7. Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 74
Subject Code Subject Name Credits
CCL 201 CAM 01
The laboratory will focus on the following:
1. CNC Turning, Milling, EDM, Wire-EDM and Modeling
A total of 13 laboratory assignments should be based on the following:
2. Operation, programming of above machines.
3. Tool path Simulation using software.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 75
Subject Code Subject Name Credits
CCL 202 Rapid Manufacturing 01
The laboratory will focus on the following:
Module Detailed Content Lab Sessions
1 3D Modeling and creating STL files 3
2 3D Printing of individual components 2
3 3D Printing of multiple components in
assembly 4
4 Use of 3D printing or any other rapid
manufacturing equipment 4
The laboratory assignments should be based on the following:
1. Introduction to Rapid manufacturing.
2. Rapid manufacturing system.
3. Rapid manufacturing methodology.
4. Case studies of Rapid manufacturing system.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 76 Course Code Course Name Credits
CCS301 Seminar 03
Guidelines for Seminar
o Seminar should be based on thrust areas in M echanical Engineering (Thermal Engineering
aspect is appreciated)
o Students should do literature survey and identi fy the topic of seminar and finalize in
consultation with Guide/Supervisor. Students should use multiple literature and understand
the topic and compile the report in standard format as per University Guidelines for report
writing and present in front of pair of Examiners appointed by the Head of the
Department/Institute of respective Programme.
o Seminar should be assessed jointly by the pair of Internal and External
Examiners
o Seminar should be assessed based on following points
Quality of Literature survey and Novelty in the topic
Relevance to the specialization
Understanding of the topic
Quality of Written and Oral Presentation
University of Mumbai, ME (Mechanical) CAD CAM and Robotics, Rev 2016 77
Course Code Course Name Credits
CCD301/
CCD401 Dissertation (I and II) 12 + 15
Guidelines for Dissertation
o Students should do literature survey and identify the problem for Dissertation and finalize in
consultation with Guide/Supervisor. Students should use multiple literatures and understand
the problem. Students should attempt solution to the problem by
analytical/simulation/experimental methods. The solution to be validated with proper
justification and compile the report in standard format.
Guidelines for Assessment of Dissertation I
o Dissertation I should be assessed based on following points
Quality of Literature survey and Novelty in the problem
Clarity of Problem definition and Feasibility of problem solution
Relevance to the specialization
Clarity of objective and scope
o Dissertation I should be assessed through a presentation by a panel of internal examiners
appointed by the Head of the Departme nt/Institute of respective Programme.
Guidelines for Assessment of Dissertation II
o Dissertation II should be assessed based on following points
Quality of Literature survey and Novelty in the problem
Clarity of Problem definition and Feasibility of problem solution
Relevance to the specialization or current Research / Industrial trends
Clarity of objective and scope
Quality of work attempted
Validation of results
Quality of Written and Oral Presentation
o Dissertation II should be assessed through a pres entation jointly by Internal and External
Examiners appointed by the University of Mumbai
Students should publish at least one paper based on the work in reputed International / National
Conference (desirably in Refereed Journal)
Desertation Report has to be prepared strictly as per University of Mumbai report writing
guidelines.