B.E. (Chemical Engineering) Modelling Simulation and Optimization Syllabus - Mumbai University 2026
The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.
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Syllabus for Modelling Simulation and Optimization
Module 1: Modeling Aspects: printed in the syllabus as Module Contents
- Definition of process model, physical and mathematical modeling, classification of models, model building, classification of mathematical methods Mathematical Models of Chemical Engineering Systems: Introduction, uses of mathematical models, scope of coverage, principles of formulation, fundamental laws, continuity equations, energy equations, equation of motion, equation of state, equilibrium, kinetics.
Module 2: Examples of Mathematical Models of Chemical Engineering Systems: printed in the syllabus as Module Contents
- Introduction, series of isothermal, constant-hold up CSTR, CSTR with variable holds up, two heated tanks, gas-phase, pressurized CSTR, non- isothermal CSTR, single-component vaporizer, batch reactor, reactor with mass transfer, ideal binary distillation column, batch distillation with holdup. Degree of Freedom analysis Concept of design and rating problem in context of selection variables after DOF analysis.
Module 3: Artificial Neural Network–Based Models., Applications of ANNs in printed in the syllabus as Module Contents
- Chemical Engineering, Advantages of ANN-Based Models. Limitations of ANN-Based Models.
Module 4: Introduction to Simulation, Sequential and Equation oriented printed in the syllabus as Module Contents
- Simulation, Flowsheet topology analysis, Recycle, Partitioning and Tearing of flow sheets. Simulation Examples, Williams Otto Flowsheeting
Module 5: Numerical Methods for solving sets of nonlinear equations, Newton’s printed in the syllabus as Module Contents
- method with Armijo Line search, Successive substitution. Solution for models developed in module 2
Module 6: Introduction to Optimization. Unconstrained single and multi-variable printed in the syllabus as Module Contents
- non-linear optimization. Numerical methods for single and multivariable optimization. Course Outcomes:
Reference
- 1 William Y. Luyben, Process Modelling simulation and control for chemical Engineer, Second edition McGraw Hill
- 2 Thomas Edger, David M. Himmelbleau, Optimization of chemical processes, 2nd Ed., John Wiley
- 3 Lorenz T. Beigler, Ignacio E. Grossman, Arthur W. Wesburg, Systematic Methods of Chemical Process Design, Prentice Hall
- 4 Ashok Kumar Verma , Process Modelling and Simulation in Chemical , Biochemical and Environmental Engineering, CRC Press Taylor and Francis Group
Reproduced from the University of Mumbai syllabus for B.E. (Chemical Engineering) under R-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Modules are numbered in sequence here; in the syllabus itself, Module 1 is printed as Module Contents; Module 2 is printed as Module Contents; Module 3 is printed as Module Contents; Module 4 is printed as Module Contents; Module 5 is printed as Module Contents; Module 6 is printed as Module Contents. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.