munotes®
Sign in
Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / FY BE AI and DS / Semester 2 / Engineering Materials

B.E. (Artificial Intelligence and Data Science) Engineering Materials Syllabus - Mumbai University

This is the FY BE AI and DS syllabus under NEP 2020, in force from the academic year 2024-25. The third and fourth years of this degree are still taught on the earlier CBCS REV-2019 'C' Scheme, because the University has published no NEP syllabus for Semesters V to VIII of any engineering branch.

Engineering Materials.pdf
Semester 2 · FY BE AI and DS · NEP 2020

Loading syllabus...

Syllabus for Engineering Materials

Semester 2 · FY BE AI and DS · NEP 2020

Module I: Alloys 4 hours

  • A) Ferrous alloys – Plain-carbon steels, Heat and Shock resisting steels, Stainless steels. Effect of the alloying element- Ni, Cr, Co, Mn, Mo, W and V. B) Aluminium alloys – Composition, properties and uses of i) Duralumin, ii) Magnalium. C) Copper alloys – Composition, properties and uses of i) Brass – Dutch Metal and German Silver and ii) Bronze – Gun metal and Nickel bronze. D) Alloys of Pb – Composition, properties and Uses of i) Wood's metal ii) Tinman's solder. E) Numerical based on Composition, density and weight of an alloy

Module II: Ceramics 4 hours

  • A) Introduction of Ceramics – Definition, types, properties and uses. B) Glass – Definition, Properties, Types with uses. C) Abrasives – Natural and Artificial Abrasives – Examples, Properties and Uses. D) Optical fibres – Definition, Components of optical transmission system, Advantages of optical fibre communication, Applications of glass-based fibre - optical fibres.

Module III: Composites 4 hours

  • A) Types of Composites, sub-types and Applications: - i) Fibre- reinforced composites, ii) Layered-composites (Laminates), iii) Particulate-composites.
  • B) Bio-composites – Definition, Classification and Applications.

Module IV: Plastics and Elastomers 5 hours

  • A) Introduction to Plastics -Thermoplastic and Thermosetting plastics, compounding of plastics, Application of Plastics, Numerical based on Degree of polymerisation, Density and mass, tensile strength of polymer B) Introduction to elastomers -structural requirement of elastomer, natural rubber, processing of natural rubber, drawbacks, compounding of rubber C) Synthesis of commercial polymers: i) Plastics: Preparation, properties and uses of Polymethyl Methacrylate (PMMA), polytetrafluoroethylene (PTFE) ii) Elastomers: Preparation, properties and uses of Polyurethane Rubber, Silicone rubber

Module V: Advanced Polymers 3 hours

  • A) Conducting polymers, B) Bio- polymers, C) Liquid crystal polymers, D) Intelligent (smart) polymers

Module VI: Nano materials A) 4 hours

  • A) Definition, Types of Nanostructured materials, Applications of Nanomaterials. B) Graphene, C) Types of Carbon Nanotubes (SWCNTs and MWCNTs) – Properties and Uses.

Recommended Books

  • 1 Engineering Chemistry, Jain and Jain, Dhanpat Rai Publication
  • 2 A textbook of Engineering Chemistry, S. S. Dara, S. Chand and Company
  • 3 Polymer Science: Vasant Gowarikar, Wiley Estern Ltd, new Delhi
  • 4 Textbook of Polymer science : F.W. Billmeyer
  • 5 Fundamentals of Polymer science & Engineering- Anilkumar & S K Gupta, Tata McGraw Hill, New Delhi

Online References

  • Sr. No. Website Name
  • 1 https://www.researchgate.net/
  • 2 https://www.sciencedirect.com/topics/engineering/polymer-material
  • 3 https://www.sciencedirect.com/topics/chemistry/nanomaterial

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 7.7 (R-A), under NEP 2020, in force from the academic year 2024-25. Wording, module numbering and hours are as printed in that syllabus.

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.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
Report or request
Done!