First Year M. Tech. TRIMESTER I (Batch 2018 19) Mechanical ... · Static and dynamic...
Transcript of First Year M. Tech. TRIMESTER I (Batch 2018 19) Mechanical ... · Static and dynamic...
First Year M. Tech. TRIMESTER – I (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE
Sr.
No.
Course
Code Name of Course Type
Weekly Workload, Hrs Credits Assessment**
Theory Tutorial Lab Th Lab CCA* LCA* End Term
Test Total
1 MEC511 Research Methodology Core 3 - - 2 - 50 - 50 100
2 MEC512 Advanced Mathematical Methods Core 3 - - 2 - 50 - 50 100
3 MEC513 Computer Aided Design Core 3 - - 2 - 50 - 50 100
4 WPC1
World Famous Philosophers,
Sages/Saints and Great Kings WPC 3 - - 2 - 70 - 30 100
5 MEC514 Lab Practice-I Core - - 6 - 3 - 50 50+ 100
6 WPC3 Yoga – For Winning Personality WPC - - - - - - - - -
Total : 12 - 6 8 3 220 50 230 500
Type: (Refer Para 11 of Academic Ord. 2017
Weekly Teaching Hours: 18
Total Credits: First Year M. Tech Trimester I: 11
** Assessment Marks are Valid only of Attendance criteria are met
CCA: Class Continuous Assessment
LCA: Laboratory Continuous Assessment
Oral Examination
Dr. L. K. Kshirsagar
Dean, Engineering
First Year M. Tech. TRIMESTER – II (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE
Sr.
No.
Course
Code Name of Course Type
Weekly Workload, Hrs Credits Assessment**
Theory Tutorial Lab Th Lab CCA* LCA* End Term Test Total
1 MEC521 Computer Integrated
Manufacturing Core 3 -- -- 2 - 50 - 50 100
2 MEC522 Discrete Event
System Simulation Core 3 -- -- 2 - 50 - 50 100
3 MEC523 Elective I Elective 3 -- -- 2 - 50 - 50 100
4 WPC4
Philosophy of
Science &
Religion/Spirituality
WPC 3 -- -- 2 -- 70 - 30 100
5 MEC524 Lab Practice-II Core - -- 6 - 3 - 50 50+ 100
6 WPC3 Yoga – For Winning
Personality WPC - -- - - - - - - -
Total : 12 -- 6 8 3 220 50 230 500
Type: (Refer Para 11 of Academic Ord. 2017
Weekly Teaching Hours: 18
Total Credits: First Year M. Tech Trimester I: 11
** Assessment Marks are Valid only of Attendance criteria are met
CCA: Class Continuous Assessment
LCA: Laboratory Continuous Assessment
Oral Examination
Dr. L. K. Kshirsagar
Dean, Engineering
First Year M. Tech. TRIMESTER – III (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE
Sr.
No.
Course
Code Name of Course Type
Weekly Workload, Hrs Credits Assessment**
Theory Tutorial Lab Th Lab CCA* LCA*
End Term
Test Total
1 MEC531
Automated Manufacturing
System Modelling Core 3 - -- 2 - 50 - 50 100
2 MEC532 Elective-II Elective 3 - -- 2 - 50 - 50 100
3 MEC533 Elective-III Elective 3 - -- 2 - 50 - 50 100
4 WPC2
Study of Languages, Peace in
Communication & Human
Dynamics
WPC 3 - -- 2 - 70 - 30 100
5 MEC534 Lab Practice-III Core - - 6 - 3 - 50 50 100
6 MEC535 Seminar-I Core - - 4 - 2 - 50 50+ 100
7 WPC3 Yoga – For Winning
Personality WPC - - - - - - - - -
Total : 12 - 10 8 5 220 100 280 600
Type: (Refer Para 11 of Academic Ord. 2017
Weekly Teaching Hours: 22
Total Credits: First Year M. Tech Trimester I: 13
Total First Year M. Tech Credits: 35
** Assessment Marks are Valid only of Attendance criteria are met
CCA: Class Continuous Assessment
LCA: Laboratory Continuous Assessment
Oral Examination
Dr. L. K. Kshirsagar
Dean, Engineering
Second Year M. Tech. TRIMESTER – IV (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE
Sr.
No.
Course
Code Name of Course Type
Weekly Workload, Hrs Credits Assessment**
Theory Tutorial Lab Th Lab CCA* LCA*
End Term
Test Total
1 MEC611 Advanced Sheet Metal Forming Core 3 - - 2 - 50 - 50 100
2 MEC612
Biomechanics and Mechan -
Biology Core 3 - - 2 - 50 - 50 100
3 MEC613 Elective-IV Elective 3 - - 2 - 50 - 50 100
4 MEC614 Project Stage-I Seminar Core - - 4 - 2 - 50 50+ 100
5 MEC615 Lab Practice-IV Core - - 6 - 3 - 50 50+ 100
Total : 9 - 10 6 5 150 100 250 500
Type: (Refer Para 11 of Academic Ord. 2017
Weekly Teaching Hours: 19
Total Credits: First Year M. Tech Trimester I: 11
** Assessment Marks are Valid only of Attendance criteria are met
CCA: Class Continuous Assessment
LCA: Laboratory Continuous Assessment
Oral Examination
Dr. L. K. Kshirsagar
Dean, Engineering
Second Year M. Tech. TRIMESTER – V (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE
Sr.
No.
Course
Code Name of Course Type
Weekly Workload, Hrs Credits Assessment**
Theory Tutorial Lab Th Lab CCA* LCA*
End Term
Test Total
1 MEC621 Elective-V Self-study 2 - - 1 - - - 50 50
2 MEC622 Project Stage-II Seminar Core - - 18 - 9 - 100 50+ 150
Total : 2 - 18 1 9 - 100 100 200
Type: (Refer Para 11 of Academic Ord. 2017
Weekly Teaching Hours: 20
Total Credits: First Year M. Tech Trimester I: 10
** Assessment Marks are Valid only of Attendance criteria are met
CCA: Class Continuous Assessment
LCA: Laboratory Continuous Assessment
Oral Examination
Dr. L. K. Kshirsagar
Dean, Engineering
Second Year M. Tech. TRIMESTER – VI (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE
Sr. No. Course
Code Name of Course Type
Weekly Workload, Hrs Credits Assessment**
Theory Tutorial Lab Th Lab CCA* LCA*
End Term
Test Total
1 MEC631 Elective-VI Self-study 2 - - 1 - - - 50 50
2 MEC632 Project Stage-III Seminar Core - - 18 - 9 - 100 100+ 200
Total : 2 - 18 1 9 - 100 150 250
Type: (Refer Para 11 of Academic Ord. 2017
Weekly Teaching Hours: 20
Total Credits: First Year M. Tech Trimester I: 10
** Assessment Marks are Valid only of Attendance criteria are met
CCA: Class Continuous Assessment
LCA: Laboratory Continuous Assessment
Oral Examination
Dr. L. K. Kshirsagar
Dean, Engineering
Weekly Teaching Hours: 20
Total Credits Second Year Third Trimester: 10
Total First Year Credits= 11+11+13=35
Total Second Year Credits= 11+10+10=31
Total M.Tech Credits: = 35 +31 = 66 Credits
M. Tech. (Batch 2018 – 19)
Mechanical – CAD/CAM/CAE (Electives)
MEC523:
Elective-I
(First Year-
Trimester II)
MEC532:
Elective-II
(First Year-
Trimester III)
MEC533:
Elective-III
(First Year-
Trimester III)
MEC613:
Elective-IV
(Second Year-
Trimester IV)
MEC621:
Elective-V
(Second Year-
Trimester V)
Self-Study*
MEC631:
Elective-VI
(Second Year-
Trimester VI)
Self-Study*
Advanced Machine
Design Engineering Materials
Computer Aided
Analysis
Computational Fluid
Dynamics -- --
Data Base Management
System
Customization of
CAD/CAM
Software’s
Optimization
Techniques
Web based
Engineering -- --
Micro & Nano
Manufacturing
Processes
Additive
Manufacturing
Automated Material
Handling Systems Design for X -- --
Integrated Product
Design & Development
Product Lifecycle
Management
Management of
Technology Digital Manufacturing -- --
1.Elective-I:
2.Elective-II:
3.Elective-III:
4.Elective-IV:
Elective-V and VI: Self-study open elective* (* Preapproved)
PG Coordinator
M.Tech. Mechanical-CAD/CAM
MIT - WPU, Pune
Program Head
M.Tech. Mechanical Engg.
MIT - WPU, Pune
Dean, Engineering
MIT - WPU, Pune
M. Tech. (Batch 2018 – 19)
Mechanical – CAD/CAM
Year of Study Trimester Credits
(Theory)
Credits
(Practical) Total Credits Total Marks
First Year M. Tech.
(Mechanical-CAD/CAM)
I 8 3 11 500
II 8 3 11 500
III 8 5 13 600
Second Year M. Tech.
(Mechanical-CAD/CAM)
I 6 5 11 500
II 1 9 10 200
III 1 9 10 250
Total 32 34 66 2550
PG Coordinator
M. Tech. Mechanical–CAD/CAM.
MIT - WPU, Pune
Program Head
M. Tech. Mechanical Engg.
MIT - WPU, Pune
Dean, Engineering
MIT - WPU, Pune
COURSE STRUCTURE
Course Code MEC511
Course Category Core
Course Title Research Methodology
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 - - 2 + 0 + 0
Pre-requisites:
Basic Statistics and Basic Applied Mathematics
Course Objectives:
Knowledge
1. To illustrate what is the exact meaning of research and a correct way to define it.
2. To understand the significance of accurate instrumentation and make use of it in drawing the
truthful inferences as research output
Skills
1. To learn the design and development of Research Proposal.
Attitude
1. To understand & utilize the Design of Experimentation (DOE) through Applied Statistics.
2. To understand & apply methods in modeling and prediction of performance in experimental
investigation.
Course Outcomes:
After the completion of course, students will be able to
1. Understand meaning of research problem and methodology for research.(CL,II)
2. Make use of instrumentation for truthful inferences of research.(CL-III)
3. Utilize applied statistics in design of experimentation (DOE).(CL-III)
4. Apply method of computing model to predict & & analyze performance of experimental
system. (CL-III, IV)
5. Develop methodology for the Research Proposal.(CL-V)
Course Contents
Introduction
What is meant by Research- Meaning, Objectives, Types, Significance Research Methods,
Methodology, Criteria of Good Research
Research Process and Research Design:
Research problem, Importance of research problem, Sources of research problem, Hypothesis, Errors
in selecting a research problem, Concept & need of research design, Meaning of variable, Selection
of variables
Measurement and Instrumentation:
Static and dynamic characteristics, Calibration, Generalized Measurement System, Instrumentation
schemes, Experimental Measurement-Pressure Flow Temperature Force, Torque, and Strain Motion
and Vibration Measurement, Data Acquisition, fidelity of instrument.
Experimental Data Analysis and Design of Experiments:
Experimental Data Analysis Error Analysis, Uncertainty Analysis, Statistical Analysis of
Experimental Data
Design of Experiments- Types of Experiments, Experiment Design Factors, Experiment Design
Protocol and Examples
Research Proposal –Writing, Presentation and Publication:
Research Findings, Outline and Structure of Research Report, Steps and Precautions in Writing
Research Report, Processing of Reports, Oral Presentations, References, Paper Publication process
Laboratory Exercises / Practical:
1. Literature survey and critical review (as per authors guidelines from standard Springer or
Elsevier Journals and referred journal, details to be mentioned in the Lab practice file) with
plagiarism check report.
2. Sample Research Proposal of the Planned Research Topic.
3. Any Worked Example with Experimental Data Analysis and Design of Experiment.
Learning Resources: Books, Notes, PPTs, Online courses, Videos, Animations
Reference Books:
1. Research Methodology: Methods and Trends, by Dr. C. R. Kothari, New Delhi: New Age
International (P) Ltd., 2nd Rev. Edition, 2004.
2. Research Methodology: An Introduction by Wayne Goddard and Stuart Melville, Juta and
Company Ltd, 2004.
3. Statistical Methods by S.P. Gupta, Sultan Chand and Sons, New Delhi, 44th Revised Edition
2014.
4. Theory and Design for Mechanical Measurements by Richard S. Figliola, Donald E. Beasley
John Wiley & Sons, Inc, 6th Edition, 2015.
5. Research methodology: an Introduction for Science & Engineering students, by Stuart Melville
and Wayne Goddard, Kenwyn, South Africa: Juta & Co. Ltd., 1st Edition, 1996.
6. Research Methodology: A Step by Step Guide for Beginners, by Ranjit Kumar, SAGE
Publication, 4th Edition, 2014.
7. Operational Research by Dr. S.D. Sharma, Kedar Nath Ram Nath & Co, 5th Edition, 2005.
8. Software Engineering by Roger S. Pressman, McGraw-Hill Higher Education, 5th Edition, 2001.
Supplementary Reading:
Theory and Design for Mechanical Measurements by Richard S. Figliola, Donald E. Beasley
5th Edition John Wiley & Sons, Inc.
Research Papers
Web Resources: NPTEL Lectures/Videos, MIT OCW
Weblinks: http://nptel.ac.in/courses/121106007/
http://nptel.ac.in/course.php
http://nptel.ac.in/courses/107108011/
MOOCs:
Pedagogy:
1. Power Point Presentations
2. Videos, Animations, Models
3. Group Activity and Team Presentation
4. Assignments, Tests
Assessment Scheme:
Class Continuous Assessment (CCA): 50 Marks
*Assignments/Case
Study One Mid Term Test
Attendance/
Discipline/ Initiative/
Behaviour
Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA): NA
Practical Oral based on
practical
Site
Visit Mini Project
Problem based
Learning Any other
- - - - - -
Term End Examination : 50 Marks
Syllabus
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Inner Product Space, Orthogonality 06 - -
2 Complex Analysis 06 - -
3 Legendre and Bessel Differential Equations 06 - -
4 Numerical Analysis 06 - -
5 Calculus of Variation 06 - -
COURSE STRUCTURE
Course Code MEC512
Course Category Core
Course Title Advanced Mathematical Methods
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
3 - - 2+0+0
Pre-requisites:
Basic Applied Mathematics
Course Objectives:
Students will have adequate background, conceptual clarity and knowledge of mathematical
principles related to
1. Knowledge :
Understanding of Inner Product Space and orthogonal projections.
Complex functions, conformal mappings and contour integration.
Series solution of ordinary differential equations and numerical methods for Elliptical,
Parabolic and Hyperbolic Equations.
2. Skills
Functionals and approximate solution of boundary value problems using Rayleigh –Ritz
and Galerkin’s methods.
3. Attitude
To understand & apply methods in modeling through application of advanced
Mathematical methods.
Course Outcomes:
At the end of this course, students will be able to:
1: Compute orhononmal basis for inner product spaces. (CL-IV)
2: Analyze conformal mappings, transformations and perform contour integration of complex
functions. (CL-III)
3: Obtain series solution of Legendre’s and Bessel’s differential equations and numerical
solutions of partial differential equations using finite difference approximations.(CL-V)
4: Compute maximum or minimum value of definite integrals and approximate solution of
boundary value problems. (CL-IV)
Course Contents
Inner Product Space, Orthogonality
Inner products, Cauchy-Schwartz inequality, Orthogonal Projections, Gram-Schmidt
Orthogonalization, Matrix representation of inner product, Least square solutions.
Complex Analysis
Complex variables, Complex differentiation, Harmonic functions, conformal mapping, Complex
integration, Cauchy’s integral formulae and Calculus of residues.
Legendre and Bessel Differential Equations
Series Solution of differential equations, Legendre’s differential equation, Legendre Polynomials,
Bessel’s differential equation, Bessel Functions.
Numerical Analysis
Finite difference analysis, Explicit and Implicit finite difference scheme, Stability of finite
difference method, Elliptical, Parabolic and Hyperbolic Equations, Numerical computation of
Eigen values.
Calculus of Variation
Introduction, Functional, Euler’s equation, Isoperimetric Problem, Functional involving higher
order derivative, Approximate solution of boundary value problem, Rayleigh–Ritz method,
Galerkin’s method.
Learning Resources: Books, Notes, PPTs, Online courses, Videos, Animations
Reference Books:
1. Kreyszig Erwin, “Advanced Engineering Mathematics”, 10th edition, Wiley Eastern
Limited, 2015.
2. Chapra Stevan C & Canale Raymond P, “Numerical Methods for Engineers”, 7th edition,
Tata McGraw Hill Pub., 2015.
3. Kwak Jin Ho & Hong Sungpyo, “Linear Algebra”, 2nd edition, Springer International
edition, 2004.
4. Grewal B.S., “Higher Engineering Mathematics”, 43rd edition, Khanna Publishers, 2014.
5. Weber Hans J. and Arfken G. B., Harris Frank E., “Essential Mathematical Methods for
Physicists”, 7th edition, Academic Press, 2012.
Syllabus:
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Inner Product Space, Orthogonality 6 - -
2 Complex Analysis 6 - -
3 Legendre and Bessel Differential Equations 6 - -
4 Numerical Analysis 6 - -
5 Calculus of Variation 6 - -
Supplementary Reading:
Grewal B.S., “Higher Engineering Mathematics”, 43rd edition, Khanna Publishers, 2014.
Research Papers
Web Resources: NPTEL Lectures/Videos, MIT OCW
Weblinks:
https://onlinecourses.nptel.ac.in/noc17_me28
https://onlinecourses.nptel.ac.in/noc17_ma06/
nptel.ac.in/courses/111105035/
MOOCs: freevideolectures.com › Mechanical › IIT Kanpur
Pedagogy:
1. Power Point Presentations, Videos, Group Activity and Team Presentation
2. Assignments, Tests
Assessment Scheme:
Class Continuous Assessment (CCA): 50 Marks
*Assignments/Case
Study One Mid Term Test
Attendance/
Discipline/ Initiative/
Behaviour
Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA): NA
Practical Oral based on
practical
Site
Visit Mini Project
Problem based
Learning Any other
- - - - - -
Term End Examination : 50 Marks
COURSE STRUCTURE
Course Code MEC513
Course Category Core Engineering
Course Title Computer Aided Design
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objectives:
1. To Learn Mathematical Modeling of Curves and Surfaces.
2. To Understand various strategies of Solid Modelling.
3. To Know the role of Geometric Transformations in Modelling.
4. To Apply Database Management in Geometric Modelling.
Course Outcomes: Upon completion of the course, the students will be able to
1. Describe the mathematical basis in the technique of representation of geometric entities as
curves and surfaces.
2. Apply appropriate solid modeling and assembly technique for engineering applications.
3. Model engineering components with minimum data.
Course Contents:
Wire Frame Modeling
Types of mathematical representation of curves, wire frame models, wire frame entities, parametric
representation of analytic and synthetic curves as Hermite Cubic Splines, Bezier Curves, B-Splines,
Rational Curves - NURBS.
Surface & Solid Modeling
Surface Modeling: Mathematical representation of surfaces, surface model, Surface entities, surface
representation, Parametric representation of surfaces, plane surface, ruled surface, surface of
revolution, Tabulated surface, Bezier surface, B-Spline surface. Surface manipulation - Displaying,
Segmentation, Trimming, Intersection
Solid Modeling- Introduction to - Boundary Representation (B-rep) and Constructive Solid
Geometry (CSG)
Transformations
2D and 3D transformations, Orthogonal and Perspective projections.
Assembly Modelling
Different approaches of creating an assembly, Associatively, Parent child relationship, Parametric
design, Concept of computer animation.
Advanced Modeling Concepts:
Feature Based Modeling, Behavioral Modeling, Conceptual Design & Top-down Design.
Techniques for Visual Realism
Hidden line removal, algorithms for shading and Rendering.
CAD/CAM Data Exchange
Need, Evaluation of data exchange formats, IGES data representations and structure, STEP
Architecture, implementation, ACIS & DXF.
Reference Books:
1. Ibrahim Zeid and R. Sivasubramanian, CAD/CAM Theory and Practice, McGraw Hill
International, 2009
2. P. N. Rao, CAD/CAM: Principles and Applications, Tata McGraw Hill, 2017.
3. Foley, Van Dam, Feiner and Hughes, Computer Graphics Principles and Practice, Addison
Wesley, Second Edition, 2013.
4. P. Radhakrishnan, S. Subramanyam, CAD/CAM/CIM, New Age Publishers, 2007.
5. Mamoru Hosaka, Modeling of Curves and Surfaces in CAD/CAM, Springer, 2011.
6. M. Groover, CAD/CAM, Pearson Education, 2003.
Supplementary Reading:
Web links: http://www.fit.vutbr.cz/research/groups/graph/ Pedagogy: The pedagogy will consist of
1. Power Point Presentations. 2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) – NA
*Assignments/Case
Study One Mid Term Test
Attendance/
Discipline/ Initiative/
Behaviour
Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Wire Frame Modeling 05 --
2 Surface & Solid Modeling 06 --
3 Transformations 05 --
4 Assembly Modelling 04 --
5 Advanced Modeling Concepts 04 --
6 Techniques for Visual Realism 04 --
7 CAD/CAM Data Exchange 02 --
COURSE STRUCTURE
Course Code MEC514
Course Category Core Engineering
Course Title Lab Practice - I
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
0 00 06 03
Course Contents:
Geometric Modelling & Finite Element Analysis
Surface Modelling, Solid Modelling, Assembly Modelling, Drafting Assignments using various software and
study of the various features in these software’s. Finite Element Analysis assignments with various platforms
to predict failures in different working conditions and Boundary conditions.
List of Assignments
1. Surface Modelling of Mechanical Components.
2. Solid Modeling of machine parts with assembly using suitable software.
3. Assignment on Structural analysis of Mechanical Components.
4. Assignment on Thermal Analysis of Mechanical Components.
5. Assignment on Thermal Analysis of Mechanical Components.
6. Assignment on Vibration Analysis of Mechanical Components.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - NA
*Assignments/Case
Study One Mid Term Test Attendance/ Discipline/
Initiative/ Behaviour Total
--- --- --- ---
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem based
Learning
Any other
50 00 00 00 00 --
Term End Examination : 50
COURSE STRUCTURE
Course Code MEC521
Course Category Core Engineering
Course Title Computer Integrated Manufacturing
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2+0+0=2
Course Objectives:
To Develop an understanding of classical and state-of-the-art production systems, control
systems, management technology, cost systems, and evaluation techniques.
To Develop an understanding of computer-integrated manufacturing (CIM) and its impact
on productivity, product cost, and quality.
To Obtain an overview of computer technologies including computers, database and data
collection, networks, machine control, etc, as they apply to factory management and factory
floor operations.
To Describe the integration of manufacturing activities into a complete system
To Acquire sensitivity to human-factors related issues as they affect decision making in the
factory environment.
Course Outcomes:
On completion of this course you should be able to:
1. Identify the main elements in computer integrated manufacturing systems;
2. Apply knowledge of computer aided process planning, feature and group technology, and
data exchange in manufacturing processes.
3. Apply the concepts/components of computer integrated manufacturing and integrate them
in a coordinated fashion;
4. Process product models with CAM tools and CNC machines.
Course Contents:
Introduction to CIM
Types of manufacturing, elements of CIM, hardware and software, product development through
CIM design activities in a networked environment, networking in a manufacturing company,
hardware elements of networking.
CIM Database
Introduction, Database requirements of CIM, Database management, Database Models, EDM.
Work Cell & Flexible Manufacturing System
Manufacturing cell, Group Technology, Cellular Manufacturing. DNC system and transfer of
program from PC to machine. Introduction to FMS, Manufacturing integration model, flexible
manufacturing strategy, Components of Flexible Manufacturing-Pallets and fixtures, machining
centers, inspection equipment, material handling stations, storage system, In-process storage,
manually operated stations, allied operation centers
Integrative Manufacturing Planning and Control
Role of integrative manufacturing in CAD/CAM integration, over view of production control -
forecasting, master production schedule, Capacity planning, M.R.P., order release, shop-floor
control, quality assurance, planning and control systems, cellular manufacturing, JIT manufacturing
philosophy.
Future Trends in Manufacturing Systems
Lean Manufacturing: Definition, principles of Lean Manufacturing, characteristics of Lean
Manufacturing, value of product, continuous improvement, focus on waste, relationship of waste to
profit, four functions of lean production, performance measures, the supply chain, benefits of lean
manufacturing. introduction to agile and web based manufacturing systems.
Reference Books:
1. Paul G. Ranky, The Design and Operation of Flexible Manufacturing System, IFS Publications, 1983.
2. J. Harrington, Computer Integrated Manufacturing, Industrial Press, 1974.
3. David Bedworth, M. R. Henderson and Philip M. Wolfe, Computer Integrated Design and Manufacturing
McGraw hill 1991.
4. Scolz B. Reiter, CIM Interfaces—Concepts, Standards and Problems of Interfaces in Computer-Integrated
Manufacturing, Chapman & Hall, 1992.
5. David L. Goetsch, Fundamental of CIM Technology, Delmar Publication 1988.
6. Groover, M.P., (2004), Automation, Production Systems & Computer Integrated Manufacturing second
edition, Pearson Education ISBN: 81-7808-511-9.
7. Groover, Weiss, Nagel, Audrey, Industrial Robotics-Technology, Programming and Applications,
McGraw Hill.
8. Nanua Singh, Systems Approach to Computer Integrated Design and Manufacturing, John Wiley
Publications.
9. Alavudeen, Venkateshwaran, Computer Integrated Manufacturing, Prentice-Hall India
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) – 50
*Assignments/Case
Study One Mid Term Test
Attendance/
Discipline/ Initiative/
Behaviour
Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
COURSE STRUCTURE
Course Code MEC522
Course Category Core Engineering
Course Title Discreet Event System Simulation
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0 = 2
Pre-requisites: Operations Research
Course Objectives:
1. To Learn simulating the real life systems.
2. To study randomness in engineering processes.
3. To understand model building for systems.
Course Outcomes: Upon completion of the course, the students will be able to
1. To apply model building approach to engineering systems.
2. To study randomness present in events and systems.
3. To simulate real life manufacturing systems.
Course Contents:
INTRODUCTION TO SIMULATION
Definition, history, nature of computer modelling and simulation, limitations of simulation, areas of
application. System and environment: Components of a system, types of simulation - discrete and continuous
systems. Modelling approaches, simulation examples, manual simulation using event scheduling, single
channel queue, two server queue, simulation of inventory problem.
RANDOM NUMBER GENERATION AND TESTING
Techniques for generating random numbers, mid square method, mid product method, constant multiplier
technique, additive congruential method, linear congruential method, combined linear congruential generators
tests for random numbers – frequency test, the Kolmogorov- Smirnov test, the chi-square test. Independence
test – runs up and runs down, runs above and below the mean, autocorrelation.
RANDOM VARIATE GENERATION
Inverse transform technique - exponential distribution, uniform distribution, Weibull distribution, triangular
distribution. Empirical continuous distribution – generating approximate normal variants - Erlang distribution.
Empirical discrete distribution - discrete uniform distribution - Poisson distribution, geometric distribution,
acceptance - rejection technique for Poisson distribution, gamma distribution.
STAGES IN MODEL BUILDING
Input modelling – data collection, identifying the distribution with data, parameter estimation, goodness of fit
tests, selecting input models without data, models of arrival processes. Verification and validation of
simulation models – variance reduction techniques, antithetic variables, calibration and validation of models.
Output analysis – stochastic nature of output data, measures of performance and their estimation, output
analysis for terminating simulation.
MANUFACTURING SYSTEMS MODELING
Objectives and performance measures – modelling system randomness, sources of randomness, machine
downtime – case study.
INTRODUCTION TO SIMULATION PACKAGES AND EXERCISES:
Model building using simulation packages
Learning Resources:
Reference Books:
1. Jerry Banks, John S, Carson II, Barry L Nelson and David M Nicol, Discrete Event System
Simulation, Prentice Hall Inc., 2006.
2. Law A. M., Simulation Modeling and Analysis, Tata McGraw Hill Companies Inc, 2008.
3. Gordon G., Systems Simulation”, Prentice Hall Ltd., 2006.
4. Narsingh Deo, System Simulation with Digital Computer, Prentice Hall of India, 2007.
5. Francis Neelamkovil, Computer Simulation and Modeling, John Wiley and Sons, 1987.
6. M. O. Evon, Abu-Taieh Asim and A. El-Sheikh, Handbook of Research on Discrete Event
Simulation Environments: Technologies and Applications, IGI Global, 2009.
Supplementary Reading:
Web Resources:
Web links:
http://www.fit.vutbr.cz/research/groups/modsim/
http://www.riken.jp/en/research/labs/aics/research/discr_evt_sim/
https://warwick.ac.uk/fac/soc/wbs/subjects/orms/research/areas/srg/
Pedagogy: The pedagogy will consists of
1. Power Point Presentations.
3. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
*Assignments/Case
Study One Mid Term Test
Attendance/
Discipline/ Initiative/
Behaviour
Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction to Simulation 04 --
2 Random Number Generation and Testing 06 --
3 Random Variant Generation 06 --
4 Stages in Model Building 06 --
5 Manufacturing Systems Modeling 04 --
6 Introduction to Simulation Packages and Exercises: 04 --
(Prof. L. K. Kshirsagar)
(Dean)
COURSE STRUCTURE
Course Code MEC523
Course Category Elective
Course Title Advanced Machine Design
Teaching Scheme and
Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Pre-requisites: Design of Machine Element
Course Objectives:
1. To study design concepts in order to enhance the basic design.
2. To study behavior of mechanical components under fatigue and creep.
3. To study composite materials and their applications in mechanical design.
4. To study behavior of mechanical components in plastic zone.
Course Outcomes: Upon completion of the course, the students will be able to
1. To Design machine elements to withstand the loads and deformations for a given application, while
considering additional specifications.
2. To analyze behavior of mechanical elements under fatigue and creep.
3. To understand applications of composites in mechanical design
Course Contents:
Theory of Elasticity
State of stress at a point, stress components on an arbitrary plane, principal stresses, plane stress, differential
equations of equilibrium, boundary conditions. State of strain at a point, plane strain, compatibility conditions,
generalized Hooke’s Law, relations between elastic constants, displacement equations of equilibrium.
Elasticity problems in two dimension and three Dimensions, Airy’s Stress Function In Rectangular & Polar
Coordinates.
Energy Methods
Elastic strain energy, strain energy due to axial force, shear force, torsion, bending moment, Castiglione’s
theorems, theory of virtual work and energy, Raleigh-Ritz method and Galerkin’s method.
Design For Fatigue, Brittle Fracture And Creep
Introduction, Fatigue strength, factors affecting fatigue behavior, Influence of super imposed static stress,
Cumulative fatigue damage, fatigue under complex stresses, Fatigue strength after over stresses, True stress
and true strength. Design for brittle fracture. Mechanism of creep of material at high temperature, Exponential
creep law, hyperbolic sine creep law, stress relaxation, bending etc
(Prof. L. K. Kshirsagar)
(Dean)
Composite Materials
Composite materials and structures, classical lamination theory, elastic stress analysis of composite material,
Fatigue strength improvement techniques, stresses, stress concentration around cut outs in composite
laminates, stability of composite laminate plates and shells, Hybrid materials, applications
Theory of Plasticity
Fundamental aspects of general inelastic behavior, Stress-strain curves –plastic flow conditions -Von Mises
and Tresca criteria –plastic work –simple applications –elasto-plastic analysis for bending and torsion of bars
– residual stresses. Introduction to Viscoelasticity: Rheological models, Maxwell model, Kelvin model and
the four-element Maxwell-Kelvin model.
Reference Books:
1. L. S. Srinath, Advanced Solid Mechanics, Tata McGraw-Hill, 2009.
2. S. P. Timoshenko and J. N. Goodier, Theory of Elasticity, Indian Edition, Mc Graw Hill
Education, 2017.
3. S. P. Timoshenko, Theory of Plates & Shells, McGraw Hill Education, 2017.
4. M. F. Spotts & T.E. Shoup, Design of Machine Elements, 8th Edition, Pearson Education, 2006.
5. Joseph E. Shigley & Chales R. Mischke, Mechanical Engineering Design, 5th Edition, McGraw
Hill, 1988.
6. George B. Dieter, Engineering Design, 5th Edition, McGraw Hill, 2012.
7. D. Hull and T.W. Clyne, An Introduction to Composite Materials, Cambridge University Press,
1996.
8. W. Prager, Introduction to Plasticity, Oxford University Press, 1959.
9. L. M. Kachanov, Foundations of Theory of Plasticity, Dover Publications, 2004.
10. Den Hartog, Advanced Strength of Materials, Dover Publications, 1987.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/syllabus/112104042/
http://www.nptel.ac.in/courses/105108072/mod04/hyperlink-11.pdf
http://www.nptel.ac.in/courses/105108072/4
http://nptel.ac.in/courses/112104168/
http://nptel.ac.in/downloads/101104010/
(Prof. L. K. Kshirsagar)
(Dean)
Pedagogy: The pedagogy will consists of
1. Power Point Presentations.
3. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) – 50
*Assignments/Case
Study One Mid Term Test Attendance/ Discipline/
Initiative/ Behaviour Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini Project Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No.
Contents Workload in Hrs
Theory Lab Assess
1 Theory of Plasticity 06 --
2 Energy Methods 06 --
3 Design For Fatigue, Brittle Fracture And Creep 06 --
4 Composite Materials 06 --
5 Theory of Plasticity 06
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. Dr. S. T. Chavan)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Head, School of
(Mechanical Engineering)
COURSE STRUCTURE
Course Code MEC523
Course Category Elective
Course Title Data Base Management System
Teaching Scheme and Credits
Weekly load hrs.
L T Laboratory Credits
03 00 00 2 + 0 + 0 = 2
Pre-requisites:
Course Objectives:
1. To Gain understanding of the architecture and functioning of Database Management Systems as well
as associated tools and techniques.
2. To apply the principles of data modeling using Entity Relationship and develop a good database
design.
3. To understand the use of Structured Query Language (SQL) and its syntax.
4. To apply Normalization techniques.
Course Outcomes: Upon completion of the course, the students will be able to
1. To define the terminology, features, classifications, and characteristics embodied in database
systems.
2. To analyze an information storage problem and derive an information model expressed in the form
of an entity relation diagram and other optional analysis forms
3. To demonstrate relational data base model.
4. To apply normalization theory for database.
Course Contents:
Introduction
Purpose of database systems, data abstraction, data models, Data Definition Language, Data Manipulation
Language, entities and entity sets, relationships and relationship sets, mapping constraints, primary keys,
Entity relationship models.
Relational Model and Relational Database Design
Structure of relational database, former query languages, commercial query languages, modifying the
database views, pitfalls in relational database design and normalization.
Network Data Model and Hierarchical Data Model
Data structure diagram, the CODASYL network model, model data retrieval update and set processing
facility, three structure diagram, virtual records.
File and System Structure, Indexing and Hashing
Physical storage media – file organization, buffer management, Mapping relations, networks and hierarchies
to files – Index – sequential files. Bi-tree indexed files.
Distributed Database, Security And Integrity
Design, transparency and autonomy, query processing, recovery, concurrency control, deadlock handling and
coordinator selection. Security and integrity, near database application.
Reference Books:
1. H. F. Korth and A. Silbenhatz and S. Sudarshan, Database System Concepts, Mc Graw Hill, 6th
Edition, 2006.
2. Gio Wiederhold, Database Design, Mc Graw Hill, 2001.
3. Jefferey O. Ullman, Principles of Database Systems, 2nd edition, Computer Science Press; 1982.
4. C.J. Date, An Introduction to database systems, 8th edition, Pearson Education, 2004.
5. Trembley and Soreson, An Introduction to Data structures with applications, 2nd edition, Mc
Graw Hills, 2017.
Supplementary Reading:
Web Resources:
Web links:
http://codex.cs.yale.edu/avi/db-book/db5/slide-dir/index.html
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) – 50
*Assignments/Case
Study One Mid Term Test Attendance/ Discipline/
Initiative/ Behaviour Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Syllabus
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction 06 --
2 Relational Model and Relational Database Design 06 --
3 Network Data Model and Hierarchical Data Model 06 --
4 File and System Structure, Indexing and Hashing 06 --
5 Distributed Database, Security And Integrity 06
COURSE STRUCTURE
Course Code MEC523
Course Category Elective
Course Title Micro And Nano Fabrication Technique
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objective:
1. To know the use of futuristic enabling technology, “Micro and Nano” as gaining much importance
in technology development,
2. To understand the potential of available technologies to scale down their responses to suit the
requirements of micro/Nano technology
3. To appeal the technology pull based on unit removal/deposition mechanisms with the available
techniques, and map the recent applications for appropriate product development
4. To motivate student’s for contribution the enabling technology of future.
Course Outcomes:
At the end of this course the student will be able to
1. Apply knowledge in micro and Nano manufacturing methods, synthesis of Nano materials and
characterization techniques
2. Possess knowledge and understanding of miniaturization technology.
3. Familiarity with MEMS and NEMS fabrication technology.
4. To create and understand micro and Nano materials.
5. To provide knowledge of various industrial applications of Nano-technology.
6. To characterize properties of Nanomaterials and know the basic types structural and different types
of spectroscopic.
Course Contents:
Introduction:
Need, evolution, fundamentals and trends in micro and Nano technologies; Consequences of the technology
and society; Moore’s law , challenges to manufacturing technology; evolution of precision in manufacturing,
tooling and current scenario; micro- nana fabrication tool, requirements, scales and size effect.
Mechanical Micro Machining:
Introduction, principle, tools and application of: Micro - Drilling, Turning, Milling, Diamond turning,
Grinding, honing, lapping, and super finishing.
Non-conventional micro-Nano manufacturing and finishing approaches:
Manufacturing and finishing approaches like, WAJM, USM, AFM, MAF micro: ECM, EDM, WEDM, LBM,
EB, Focused ion beams, Hybrid processes, ELID- process principle, application and technological
information, chemical machining and mechanochemical finishing.
Generative and other processing routes:
Lithography techniques, PVD, CVD, Electro and Electroless deposition; nano structured films and coatings.
Characterization and metrology tools:
Introduction and example of SEM, XRD,AFM, TEM, indentation, scanning tunnelling microscope, etc, on
machine measuring devices, micro CMM, accuracy and precision introductory treatment and awareness.
Applications:
General/industrial applications examples to micro-Nano technologies
Reference Books:
1. Micromachining of Materials, Joseph Mcgeough, Marcel Deccor, 2011
2. Fundamentals of Machining Processes, Hassan El-Hofy, Taylor and Francis, 2007.
3. Introduction to Micromachining, V. K. Jain, Narosa Publications, 2010
4. Nontraditional Manufacturing Processes – G.F.BENEDICT (MARCEL DEKKER JNC.)
5. Non-conventional machining by – P.K. MISHRA (NAROSA PUBLICATIONS)
6. Advanced Machining Processes, by V. K. Jain, Allied Publishers Pvt. Ltd, (2005)
7. Private communications: lecture notes of STTP on Micromachining, held at IIT Kanpur; June 2007
8. Private communications: lecture notes of SERC school on Micromachining, held at IIT, Bombay, Mumbai;
June 2008.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/courses/112104162/
http://nptel.ac.in/courses/117105082/11
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) – 50
*Assignments/Case
Study One Mid Term Test Attendance/ Discipline/
Initiative/ Behaviour Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): NA
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction 06 --
2 Mechanical Micro Machining: 06 --
3 Non-conventional micro-Nano manufacturing and finishing
approaches: 06 --
4 Generative and other processing routes: 06 --
5 Characterization and metrology tools: 06
6 Applications:
COURSE STRUCTURE
Course Code MEC523
Course Category Elective
Course Title Integrated Product Design & Development
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objective:
1. To provide conceptual understanding of product design, product development process &
methodologies.
2. To integrate product development process by identifying customer needs by gathering, interpreting,
organizing and establishing relative importance of the customer needs.
Course Outcome:
On completion of the course the student will be able to
1. understand the integration of customer requirements in product design
2. Apply structural approach to concept generation, selection and testing
3. Understand various aspects of design such as industrial design , design for manufacture , economic
analysis and product architecture
Course Contents:
Collaborative Product Design
Product lifecycle management-concepts, benefits, value addition to customer. Lifecycle models- creation of
projects and roles, users and project management, system administration, access control and its use in life
cycle. Product development process and functions. Data transfer. Variants of e-commerce. Multi system
information sharing. Workgroup collaboration. Development of standard classification for components and
suppliers. Model assembly process-link product and operational information. Customization factors-creation
of business objects, user interfaces, search facile ties as designed by the enterprise. Software-PDM/PLM and
their comparison.
Product Development
Quality function deployment-quality project approach and the problem solving process. Design creativity-
innovations in design alternatives. Concurrent engineering, industrial design principles. Product development
versus design, types of design and redesign, modern production development process, reverse engineering
and redesign product development process, examples of product development process, scoping product
development – S-curve, new product development.
Understanding Customer Needs
Gathering customer needs, organizing and prioritizing customer needs, establishing product function, FAST
method, establishing system functionality.
Product Tear Down And Experimentation
Tear down method, post teardown report, benchmarking and establishing engineering specifications, product
portfolios.
Generating Concepts:
Information gathering, brain ball, C-sketch/6-3-5 method, morphological analysis, concept selection,
technical feasibility, ranking, measurement theory, DFMA, design for robustness.
Physical Prototypes:
Types of prototypes, use of prototypes, rapid prototyping technique scale, dimensional analysis and
similitude, physical model and experimentation-design of experiments, statistical analysis of experiments.
Reference Books:
1. John W Gosnay and Christine M Mears, Business Intelligence with Cold Fusion, Prentice Hall
India, New Delhi, 2000.
2. David S Linthicum, “B2B Application Integration”, Addison Wesley, Boston, 2001.
3. Alexis Leon, Enterprise Resource Planning, Tata McGraw Hill, New Delhi, 2002.
4. David Ferry and Larry Whipple, Building and Intelligent e-business, Prima Publishing, EEE
Edition, California, 2000.
5. David Bedworth, Mark Hederson and Phillip Wolfe, Computer Integrated Design and
Manufacturing, McGraw Hill Inc., New York, 1991.
6. Kevin Otto and Kristin Wood, Product Design – Techniques in Reverse Engineering and New
Product Development, Pearson Education, New Delhi, 2004.
7. Karl T Ulrich and Stephen D Eppinger, Product Design and Development, McGraw Hill, New
York, 1994.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/courses/112107143/2
http://nptel.ac.in/courses/112107217/
http://nptel.ac.in/courses/112107143/35
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - NA
*Assignments/Case
Study One Mid Term Test Attendance/ Discipline/
Initiative/ Behaviour Total
25 marks
(50%)
20 marks
(40%)
05 marks
(10%) 50 marks
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Collaborative Product Design 06 --
2 Product Development 06 --
3 Understanding Customer Needs 06 --
4 Product Tear Down And Experimentation 06 --
5 Generating Concepts: 06
6 Physical Prototypes:
COURSE STRUCTURE
Course Code MEC524
Course Category Core Engineering
Course Title Lab Practice- II
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
0 00 06 03
Pre-requisites:
Course Contents:
SIMULATION & OPTIMIZATION
Assignment on real life problems of manufacturing systems and manufacturing processes to be simulated
using simulation software’s. Assignments on optimization using any process/product optimization software.
Assignments:
1. Assignment on Finite Element Simulation of Cooling/Heating Process.
2. Assignment on Finite Element Simulation of Bending Process.
3. Assignment of Finite Element Simulation of Drawing/Forming/Stamping.
4. Assignment on Process Optimization.
5. Assignment on Forging Optimization
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - NA
Assignments Test Presentations Case study MCQ Oral Any other
-- -- -- -- -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
50 00 00 00 00 --
Term End Examination : 50 Marks
(Prof. L. K. Kshirsagar) (Dean)
COURSE STRUCTURE
Course Code MEC531
Course Category Core Engineering
Course Title Automated Manufacturing System Modelling
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Contents:
Introduction
Modelling Automated Manufacturing Systems, Performance Modelling Tools.
Automated Manufacturing Systems
Introduction, Manufacturing Systems, Performance Measures, Computer-Controlled Machines, Material
Handling Systems, Plant Layout, Flexible Manufacturing Systems, Computer Control Systems,
Markov Chain Models
Memory less Random Variables, Stochastic Processes in Manufacturing, Discrete Time Markov Chain
Models, Continuous Time Markov Chain Models, An Examples Markov Model of a Transfer Line, Birth and
Death Processes in Manufacturing, Time Reversible Markov Chains in Manufacturing, Semi-Markov
Processes in Manufacturing.
Queuing Models
Queues, Notation and Examples, The M/M/1 Queue, The M/M/m Queue, Batch Arrival Queuing Systems,
Queues with General Distributions, Queues with Breakdowns, Analysis of a Flexible Machine Centre,
Queuing Networks, Open Queuing Networks, Closed Queuing
Petri Net Models
Classical Petri Nets, Stochastic Petri Nets, Generalized Stochastic Petri Nets, GSPN Modeling of Kanban
Systems, Deadlock Analysis Using Petri Nets, Extended Classes of Timed Petri Nets, Integrated PRQN-
GSPN
Reference Books:
1. Y. Narahari and N. Viswanadham, Performance Modelling of Automated Manufacturing
Systems, Prentice-Hall of India Pvt. Limited, 2005.
2. Alan A. Desrochers, Modelling and Control of Automated Manufacturing Systems, IEEE
Computer Society Press 1990.
Pedagogy: The pedagogy will consists of
1. Power Point Presentations.
2. Industrial Case Studies.
(Prof. L. K. Kshirsagar) (Dean)
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): NA
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction 06 --
2 Automated Manufacturing Systems 06 --
3 Markov Chain Models 06 --
4 Queuing Models 06 --
5 Petri Net Models 06 --
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
(Prof. L. K. Kshirsagar)
(Dean)
COURSE STRUCTURE
Course Code MEC 532
Course Category Elective
Course Title Additive Manufacturing
Teaching Scheme and Credits
Weekly load hrs.
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objectives:
1. To know the principle methods, areas of usage, possibilities and limitations of Additive Manufacturing.
2. To be familiar with the characteristics of the different materials those are used in Additive
Manufacturing.
3. To apply these Techniques to Engineering Applications.
Course Outcomes: Upon completion of the course, the students will be able to
1. To compare different methods of the Additive Manufacturing Technologies and their effects.
2. To analyze the characteristics of the different materials in Additive Manufacturing.
3. To explore new Engineering Applications.
Course Contents:
Introduction:
Prototyping fundamentals, Historical development, Fundamentals of Rapid Prototyping, Process Chain,
Advantages and Limitations of Rapid Prototyping, commonly used Terms, Classification of RP process,
Introduction to Reverse Engineering.
Liquid-Based Systems
Stereo lithography Apparatus (SLA): Models and specifications, Process, working principle, photopolymers,
photo polymerization, layering technology, laser and laser scanning, Applications, Advantages and
Disadvantages, Case studies. Solid Ground Curing (SGC): Model sand specifications, Process, working
principle, Applications, Advantages and Disadvantages, Case studies, Polyjet System.
Solid-Based Systems
Laminated Object Manufacturing (LOM): Models and specifications, Process, working principle,
Applications, Advantages and Disadvantages, Case studies. Fused Deposition Modelling (FDM): Models and
specifications, Process, working principle, Applications, Advantages and Disadvantages, Case studies, Kiras
Paper Lamination Technology.
Powder Based Systems
Selective laser sintering (SLS): Models and specifications, Process, working principle, Applications,
Advantages and Disadvantages, Case studies. Three dimensional Printing (3DP): Models and specifications,
(Prof. L. K. Kshirsagar)
(Dean)
Process, working principle, Applications, Advantages and Disadvantages, Case studies. Rapid Tooling:
Introduction to Rapid Tooling (RT), Conventional Tooling Vs RT, Need for RT. Rapid Tooling Classification:
Indirect Rapid Tooling Methods: Spray Metal Deposition, RTV Epoxy Tools, Ceramic tools, Selective Laser
Melting.
Rapid Prototyping Data Formats
STL Format, STL File Problems, Consequence of Building Valid and Invalid Tessellated Models, STL file
Repairs: Generic Solution, Other Translators, Newly Proposed Formats. Rapid Prototyping Software’s.
Materials for Additive Manufacturing
Photo Polymers, Thermo Plastics & Plastics
Additive Manufacturing Applications
Material Relationship, Application in Design, Application in Engineering, Analysis and Planning, Aerospace
Industry, Automotive Industry, Jewelry Industry, Coin Industry, RP Medical and Bioengineering
Applications: Planning and simulation of complex surgery, Customized Implants & Prosthesis, Design and
Production of Medical Devices, Forensic Science and Anthropology.
Reference Books:
1. Chua C.K., Leong K.F. and LIM C.S, Rapid prototyping: Principles and Applications, World Scientific
publications, Third Edition, 2010.
2. D.T. Pham and S.S. Dimov, Rapid Manufacturing, Springer, 2001
3. Paul F. Jacobs, Rapid Prototyping & Manufacturing, ASME Press, 1996.
4. Gebhardt A., Rapid Prototyping, Hanser Gardener Publications, 2003.
5. Liou L.W. and Liou F.W., Rapid Prototyping and Engineering Applications: A Tool Box for Prototype
Development, CRC Press, 2007.
6. Kamrani A.K. and Nasr E.A., Rapid Prototyping: Theory and Practice, Springer, 2006.
7. Hilton P.D. and Jacobs P.F., Rapid Tooling: Technologies and Industrial Applications, CRC Press, 2000.
Supplementary Reading:
Web links: http://additivemanufacturing.com/basics/
http://www.lboro.ac.uk/research/amrg/
https://www.ptc.com/en/cad-software-blog/3d-printing-vs-additive-manufacturing
Pedagogy: The pedagogy will consist of
1. Power Point Presentations. 2. Industrial Case Studies.
(Prof. L. K. Kshirsagar)
(Dean)
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): NA
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction 02 --
2 Liquid-Based Systems 06 --
3 Solid-Based Systems 06 --
4 Powder Based Systems 06 --
5 Rapid Prototyping Data Formats 06 --
6 Additive Manufacturing Applications 04 --
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. G. P. Borikar)
(Associate Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
( Prof. L.K.Kshirsagar ) ( Dean )
COURSE STRUCTURE
Course Code MEC532
Course Category Elective
Course Title Customization Of CAD/CAM Software
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objective:
1. Understand rapid development concepts, SDLC and prototyping
2. Learn to add more features and function to the existing command, CAD template designing,
CAE analysis template customization.
3. Study User Interface customization, e. g icon/menu, naming and arrangement.
4. Learn AutoCAD/CATIA and VBA customization
5. Study API in UG/NX
6. Program development to control and link between CAD, CAE and EXCEL data.
Course outcomes:
At the end of course students will able to;
1. Identify custom software development requirements related to CAD, CAM applications
2. Design and develop the following for custom tool development in CAD software like NX,
CATIA, AutoCAD, AIP, etc.
3. User friendly and complete UIs
4. Algorithms and programs for modelling and drafting parts, assemblies
5. Design and develop custom software for CAM applications using DBMS like MS access, VFP,
Oracle.
Course Contents:
Introduction To Customization
Customization, Application Programming Interface (API), macros, scripts
Tools For Customization
Object Oriented Programming (OOP), OLE interfaces in CAD/CAM software; Use of General programming
interfaces like VB, VBS, VC++, Open GL programming and System dependent programming interfaces like
Visual LISP (AutoCAD), GRIP (Unigraphics), Pro-Programming (Pro/Engineer)
Computer-Based System Engineering
( Prof. L.K.Kshirsagar ) ( Dean )
System Engineering process, Software product development life cycle, software processes, software
development project management, software prototyping.
Rapid Development
Core issues in rapid development, rapid development languages, lifecycle planning and customer oriented
development.
Solid Modelling Algorithms
Euler operations, basic solid modelling algorithms
Automated Solid Modelling Using Customization:
Creating 2D, 3D and solid entities through API, Editing 2D, 3D and solid entities through API, Design and
development of user interfaces - icons, menus, dialog boxes, Integrating databases with CAD; creating BOM
or part lists, Automated Assembly modelling through customization, Automated drafting and dimensioning
using customization, Creating Automated Animations using API and animation software.
Reference Books:
1. Steve McConnell, Rapid development, Microsoft Press.
2. Ian Summerville, Software Engineering, Pearson Education.
3. Foley, van Dam, Computer Graphics, Pearson Education.
4. Mason Woo, et al, OpenGL Programming Guide.
5. George Omura, Advanced AutoCAD.
6. Sham Tickoo, Customizing AutoCAD, Thomson learning
7. Martti Mantilya, Solid Modelling, Computer Science Press.
8. Solid Works API using VB and C++; Custom Programming Unlimited LLC
9. GRIP programming manuals for Unigraphics (Vol. 1 and 2)
10. User Function Programming manuals for Unigraphics (Vol. 1)
Supplementary Reading:
Web Resources:
Web links:
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
( Prof. L.K.Kshirsagar ) ( Dean )
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction To Customization 05 --
2 Tools For Customization 05 --
3 Computer-Based System Engineering 05 --
4 Rapid Development 05 --
5 Solid Modelling Algorithms 05 --
6 Automated Solid Modeling Using Customization: 05 --
Prepared By
(Prof. O. K. Kulkarni) (Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
(Prof. L. K. Kshirsagar) (Dean)
COURSE STRUCTURE
Course Code MEC532
Course Category Elective
Course Title Materials For Engineering Applications
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Pre-requisites:
Course Objectives:
1. To Explain the differences in properties of different materials, including metals, alloys, ceramics,
polymers and composites
2. To Relate the properties of materials to microstructure (quantitative skills)
Course Outcomes:
1. Discuss new fields of micro-electro-mechanical-systems (MEMS) and nanotechnology
2. Describe the basics of processing techniques for altering the microstructure and properties of
different materials
3. Apply the basic principles of material selection to specific applications (critical thinking,
quantitative skills)
Course Contents:
Fundamental Review & Mechanical Behaviour of Metals And Alloys
Covalent, Ionic, Metallic, Vander Walls Bond, Bond strength and Melting point, crystalline structures,
Vacancies, dislocations and other crystal defects. Metals Vs Alloys, Micro structural Characterization. Tensile
and Compressive stress strain relations, fracture toughness, fatigue, creep, wear and abrasion.
Advanced Materials
HSLA steels, tool and die materials, alloy cast irons, stainless steels, PH and maraging steels, materials for
low temperature applications, refractory metals and super alloys, Hadfield steels, ball bearing steels and
bearing metals,
Alloys
Automobile alloys and aerospace alloys, Inter metallics, Ni and Ti Aluminides – Smart materials, shape
memory alloys -Metallic glass - Quasi crystal and nano Crystalline materials.
Ceramics
Ceramic crystal structures – Binary ceramic structures: Rock salt, Fluorite, Rutile and Silica structures.
Ternary ceramic structures. Introduction to phase equilibria in ceramics, Phase equilibrium diagrams and
(Prof. L. K. Kshirsagar) (Dean)
composition calculations. Thermal, Electrical, magnetic and optical behavior of ceramics, Mechanical
behavior of ceramics, Toughening mechanisms in ceramics, cyclic fatigue of ceramics, thermal stresses in
ceramics, creep in ceramics, Ceramics for engineering applications, Engineering ceramics and their
applications, (Glass and Glass-ceramics, Aluminum oxide, Silicon nitride, Zirconia and zirconia-Toughned
Aluminum, Sailons) Environmental Effects in ceramics.
Composites
Fundamentals, Definition, classification of composite materials, laws of mixtures, factors affecting composite
properties: interfacial bonding. Mechanical Behavior of composite, Young’s Modulus and strength
considerations for continuous FRCs & short FRCs, Hal pin Tsai Equations. Interfacial Mechanics, Mechanics
of load transfer from matrix to fiber, Toughening Mechanisms in composites. Fabrication & Properties of
fibers-Glass fibers, carbon fibers, Aramid fibers, Silicon Carbide Fibers & Metallic Glasses. Comparative
study, illustrations & Applications, PMCs, CMCs & MMCs. Fatigue of Laminate Composites.
Reference Books:
1. R.S.Kurmi & R.S.Sedha, Material Science, S. Chand & company Ltd.
2. Thomas H. Courtney, Mechanical Behavior of Materials, McGraw-Hill.
3. Michael F. Ashby, Material Selection in Mechanical Design, Butterworth-Heinemann Ltd.
4. Flinn, R.A. and Trojan, P.K., Engineering Materials and their Applications, Wiley 1995.
5. Issac Daniel, Ori Ishai, Engineering Mechanics of Composite Materials, Oxford University Press,
2006.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/courses/113106032/16
http://nptel.ac.in/courses/105108124/11
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
(Prof. L. K. Kshirsagar) (Dean)
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): NA
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Fundamental Review & Mechanical Behavior of Metals And
Alloys 06 --
2 Advanced Materials 06 --
3 Alloys 06 --
4 Ceramics 06 --
5 Composites 06
Prepared By
(Prof. O. K. Kulkarni) (Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
(Prof. L. K. Kshirsagar)
(Dean)
COURSE STRUCTURE
Course Code MEC532
Course Category Elective
Course Title Product Lifecycle Management
Teaching Scheme and Credits
Weekly load Hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objectives:
1. To Study concept of PLM and its impact on the organization.
2. To Learn principles, strategies, practices, and applications of Product Lifecycle Management with focus
on organizations.
3. To provide conceptual foundations of PLM, along with the newest industry views on PLM applications.
4. To present frameworks for economic justifications for PLM projects.
Course Outcomes:
At the end of course students will able to;
1. Understand the concept and components of PLM.
2. Recognize the benefits and importance of PLM implementation in industry.
3. Integrate Product Data and Product Workflow with help of PLM software package.
4. Organize the role of human resources in the product lifecycle.
Course Contents:
Introduction:
Background, Overview, Need, Benefits, and Concept of Product Life Cycle, Components / Elements of PLM,
Emergence of PLM, Significance of PLM, Threads of PLM - Computer Aided Design (CAD), Engineering
Data Management (EDM), Product Data Management (PDM), Computer Integrated Manufacturing (CIM)
PLM characteristics -singularity, cohesion, traceability, reflectiveness.
Product Life Cycle Environment
Product Data and Product Workflow, The Link between Product Data and Product Workflow, Key
Management Issues around Product Data and Product Workflow, Developing a PLM strategy, Strategy
Identification and selection, PLM System Architecture (2tier/3tier/4tier etc),
Product Work Flow
Benefits and Terminology, CIM Data, PDM functions, definition and architectures of PDM systems,
Engineering data, engineering workflow and PDM acquisition and implementation, Resolving Data Issues,
product data interchange, present market constraints, collaborative product development, Internet and
developments in client server computing, portal integration
Components of Product Data Management
(Prof. L. K. Kshirsagar)
(Dean)
Components of a typical PDM setup - Hardware and Document Management, creation and viewing of
documents, creating parts, versions, control of parts and documents, configuration management for product
structure, Change Management and associated activities
Database Management
Introduction to DBMS, Entity-Relationship model, Relational model, SQL concepts, Object-Based databases
and XML, DBMS architectures, distributed databases.
Components of Product Life Cycle Management
Different phases of product lifecycle and corresponding technologies, foundation technologies and standards
(e.g. visualization, collaboration and enterprise application integration), Information authoring tools (e.g.,
MCAD, ECAD, and technical publishing), Core functions (e.g., data vaults, document and content
management, workflow and program management), Examples of PLM in use.
Reference Books:
1. Grieves and Michael, Product Lifecycle Management, McGraw-Hill publications, 2006.
2. Antti Saaksvuori and Immonen Anselmi, Product Life Cycle Management – Springer Verlag, first
edition, 2003.
3. Stark, John, Product Lifecycle Management: Paradigm for 21st Century Product Realization,
Springer-Verlag, 2004.
4. Karl Ulrich and Steven D. Eppinger, Product Design & Development, McGraw Hill International,
1999.
5. Burden Rodger, PDM: Product Data Management, Resource Publications, 2003.
6. Silberschatz, Korth and Sudarshan, Database System Concepts, McGraw Hill, 2002
Supplementary Reading:
Web Resources:
Web links:
https://www.plm.automation.siemens.com/global/en/
https://www.3ds.com/products-services/enovia/
Pedagogy: The pedagogy will consist of
1. Power Point Presentations.
2. Industrial Case Studies.
(Prof. L. K. Kshirsagar)
(Dean)
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
10 20 10 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights):
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination: 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction 05 --
2 Product Life Cycle Environment 05 --
3 Product Work Flow 05 --
4 Components of Product Data Management 05 --
5 Database Management 05 --
6 Components of Product Life Cycle Management 05 --
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
( Prof. L.K.Kshirsagar ) ( Dean )
COURSE STRUCTURE
Course Code MEC533
Course Category Elective
Course Title Automated Material Handling Systems
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objectives:
1. Study of overview of material handling equipment.
2. Study of Material Transport Systems.
3. Study of automated storage/retrieval systems (AS/RS).
4. Study of Robot Technology and Robot Applications.
Course Outcomes:
1. Demonstrate automated storage/retrieval systems (AS/RS) in different industries.
2. Development of material handling and storage system in FMS/CIM.
3. Apply the applications of Robot to different industries material transfer, machine loading, assembly
and inspection etc.
4. Identify various material transport systems in different industries.
5. Acquire the knowledge of robot technology application in different industries.
Course Contents:
Introduction to Material Handing - Overview of material handling equipment, considerations in material
handling system design, the ten principles of material handling.
Material Transport Systems - Industrial trucks, automated guided vehicle systems (AGVS), vehicle
guidance technology, vehicle management and safety, monorails and other rail guided vehicles, conveyor
systems, types of conveyors, conveyor operations and features, cranes and hoists, analysis of material transfer
systems, charting techniques in material handling, analysis of vehicle-based systems, conveyor analysis
Storage Systems - Storage system performance, storage location strategies, conventional storage methods
and equipment, automated storage systems, automated storage/retrieval systems (AS/RS), types of AS/RS
and applications, carousel storage systems, engineering analysis of storage systems
Material Handling and Storage System in FMS/CIM - Functions of the handing system, FMS layout
configurations material handling equipment
Robot Technology - Robot anatomy, need, purpose and motives for robot use in industry, elements of a
robotic system, need for using robots, robot physical configurations, robot motions, motion planning,
( Prof. L.K.Kshirsagar ) ( Dean )
trajectory planning, technical features, drive systems, control systems, robot programming languages, end
effectors, work cell control and interlocks, robot sensors, robot vision, ranging, laser, acoustic, tactile, general
considerations in robot applications, mobile robots
Robot Applications - Current, near future and future applications of robots, material transfer, machine
loading, assembly and inspection, spot welding, continuous arc welding, spray coating other processing
applications such as, machining, die casting, drilling, routing, grinding, wire brushing, water jet cutting, laser
cutting, riveting and similar operations.
Reference Books:
1. Mikell P. Grover “Automation, Production Systems and Computer-Integrated Manufacturing”,
Pearson Education, New Delhi
2. P. Radhakrishnan & S. Subramanyan “ CAD/CAM/CIM” Willey Eastern Limited New Delhi
3. Mikell P. Grover and Enory W. Zimmers Jr. “CAD/CAM”, Pearson Education, New Delhi.
4. Mikell P. Grover “Industrial Robotics”
5. Satya Rajan Deb “Robotics Technology and flexible Automation” Tata Mc Graw Hill Publishing
Company Limited New Delhi
6. Handbook of Material Handling, Ellis Horwood limited.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/courses/112103174/39
http://nptel.ac.in/downloads/112101098/
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
( Prof. L.K.Kshirsagar ) ( Dean )
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction to Material Handing 04 --
2 Material Transport Systems 05 --
3 Storage Systems 05 --
4 Material Handling and Storage System in FMS/CIM 05 --
5 Robot Technology 05
6 Robot Applications 06
Prepared By
(Prof. O. K. Kulkarni) (Assistant Professor)
Checked By
(Prof. Dr. S. T. Chavan)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
( Prof. L.K.Kshirsagar ) ( Dean )
COURSE STRUCTURE
Course Code MEC533
Course Category Elective
Course Title Computer Aided Analysis
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objective:
1. To improve the problem solving ability using numerical method like FEA.
2. To understand and use the commercial finite element packages effectively through hands on
practice in the laboratory.
Course Outcomes:
At the end of course students will able to;
1. Relate and solve problems on Finite element analysis.
Course Contents:
Introduction
Finite element method, brief history, basic steps, advantages and disadvantages, weak formulation,
Variational methods of approximation – Rayleigh-Ritz methods, Methods of Weighted Residuals (Galerkin’s,
Least-squares & Collocation methods), Variational formulation of 1D bar and beam elements (Euler Bernoulli
and Timoshenko beam) – governing equation, domain discretization, elemental equations, assembly and
element connectivity, application of boundary condition, solution of equations, post processing of the results.
Isoparametric Elements And Formulation of Plane Elasticity Problems
Introduction, shape functions – linear & quadratic, displacement function – criteria for the choice of the
displacement function, polynomial displacement functions, displacement function in terms of nodal
parameters, strain-nodal parameter relationship, stress-strain relationship, element stiffness matrix,
convergence of iso parametric elements, numerical integration – Trapezoidal rule, Simpson’s 1/3 rule,
Newton-Cotes Formula, Gauss Quadrature formula, Gauss Quadrature in two and three dimensions.
Plate Bending Problems – Plate And Shell Elements
Introduction, thin and thick plates – Kirchhoff theory, Mindlin plate element, triangular and rectangular,
conforming and nonconforming elements, degenerated shell elements, reduced and selective integration,
shear locking and hour glass phenomenon.
Nonlinear Problems – Geometric, Material And Contact Problems
( Prof. L.K.Kshirsagar ) ( Dean )
Introduction to non-linear analysis, formulation for geometrical, material and contact nonlinear problems,
Nonlinear equation solving procedure - direct iteration, Newton- Raphson method, modified Newton-
Raphson method, incremental techniques.
Dynamic Problems – Eigen Value And Time Dependent Problems
Formulation of dynamic problems, consistent and lumped mass matrices Solution of Eigen value problems –
transformation methods, Jacobi method, Vector Iteration methods, subspace iteration method Forced
vibration – steady state and transient vibration analysis, modelling of damping, the mode superposition
scheme, direct integration methods – implicit and explicit numerical integration.
Special Topics
Linear buckling analysis, adaptive finite element technique, error estimation, h & p refinements, symmetry –
mirror/plane, axial, cyclic & repetitive, sub modelling and sub structuring.
Reference Books:
1. Seshu P., Text book of Finite Element Analysis, PHI Learning Private Ltd., New Delhi, 2010.
2. Mukhopadhyay M and Sheikh A. H., Matrix and Finite Element Analyses of Structures, Ane
Books Pvt. Ltd., 2009.
3. Bathe K. J., Finite Element Procedures, Prentice-Hall of India (P) Ltd., New Delhi.
4. Cook R. D., Finite Element Modelling for Stress Analysis, John Wiley and Sons Inc, 1995
5. Chandrupatla T. R. and Belegunda A. D., Introduction to Finite Elements in Engineering, Prentice
Hall India.
6. Liu G. R. and Quek S. S. The Finite Element Method – A Practical Course, Butterworth-
Heinemann, 2003.
7. Reddy, J. N., An Introduction to The Finite Element Method, Tata McGraw Hill, 2003.
8. Reddy, J. N., An Introduction to Nonlinear Finite Element Analysis, Oxford University Press,
2010.
9. Dixit U. S., Finite Element Methods for Engineers, Cengage Learning India Pvt. Ltd., 2009.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/courses/112104116/
http://nptel.ac.in/courses/105105041/
( Prof. L.K.Kshirsagar ) ( Dean )
Pedagogy: The pedagogy will consists of
1. Power Point Presentations.
2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Introduction 04 --
2 Isoparametric Elements And Formulation of Plane
Elasticity Problems 06 --
3 Plate Bending Problems – Plate And Shell Elements 06 --
4 Nonlinear Problems – Geometric, Material And Contact
Problems 06 --
5 Dynamic Problems – Eigen Value And Time Dependent
Problems 06 --
6 Special Topics 02
Prepared By
(Prof. O. K. Kulkarni) (Assistant Professor)
Checked By
(Prof. Dr. S. T. Chavan)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
(Prof. L. K. Kshirsagar)
(Dean)
COURSE STRUCTURE
Course Code MEC 533
Course Category Elective
Course Title Management of Technology
Teaching Scheme and Credits
Weekly load hrs.
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Pre-requisites: Industrial Engineering and Management
Course Objectives:
1. To introduce the students about concept of technology management.
2. To understand technology forecasting and technology transfer.
3. To know roles of various Intellectual property rights, patent search in industry.
Course Outcomes: Upon completion of the course, the students will be able to
1. To Apply Appropriate Mechanisms of Technology Transfer [CLIII]
2. To Understand and Assess Customer-Needs Driven Technology Specifications, Technology
Alignment and Technology Forecasting [CLII]
3. To Recognize the Importance and Role of Intellectual Property Rights, Government, Research
Institutes And Commercial Institutions In Technology Transfer [CLIV]
Course Contents:
Concepts of Technology Management
Description, Scope & Implications, its relation to Business Management Systems, Holistic Model of
Management of Technology (MOT), Operational and Management Issues, Classification of
Technology, Technology Cycle.
Technology Forecasting
Approaches, Technology Performance Parameters, Use of experts in Technology Forecasting,
Planning the Technology Progress, Morphological Analysis of Technology System.
Acquiring Technology Through Technology Transfer & Research and Development
Definition, Models of Technology Transfer, System of Technology Transfer with Public and Private
Enterprises, Success and failure factors in Technology Transfer. The concepts of Invention and
Innovation, New Product Development, Challenges in Commercializing Research Results.
Intellectual Property Rights
Patentable and Non-Patentable Inventions, Statutory Exceptions, Persons entitled to apply for
patents.
(Prof. L. K. Kshirsagar)
(Dean)
Analytical Hierarchical Process (AHP)
Introduction to AHP, self AHP for Technology Selection cases like Information Technology –
Software & Hardware, Machine Tools, and Industrial Products.
Learning Resources:
Reference Books:
1. Gerard H. Gaynor, Hand Book of Technology Management, McGraw-Hill Professional
Publishing, 1996.
2. Schilling Melissa, Strategic Management of Technological Innovation, 4th edition McGraw-Hill
Education, 2012.
3. Kazmi, Azhar, Business Policy and Strategic Management, Third Edition, Publisher: McGraw
Hill Education (India) Private Limited, 2008,
4. Satyawrat Ponkshe, The Management of Intellectual Property: Patents, Designs, Trade marks &
copyright, Ponkshe & Bhate Publications, Pune, 1991.
Supplementary Reading:
Web Resources:
Web links:
https://www.youtube.com/watch?v=NvcHmWARfW8
https://www.youtube.com/watch?v=LxWnXK9M69E
https://www.youtube.com/watch?v=uV4g9p08nXg
Pedagogy: The pedagogy will consists of
1. Power Point Presentations.
2. Industrial Case Studies.
(Prof. L. K. Kshirsagar)
(Dean)
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - NA
Assignments Test Presentations Case study MCQ Oral Any other
20 10 10 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
Module
No. Contents
Workload in Hrs
Theory Lab Assess
1 Concepts of Technology Management 04 --
2 Technology Forecasting 08 --
3 Acquiring Technology Through Technology Transfer &
Research And Development 08 --
4 Intellectual Property Rights 04 --
5 Analytical Hierarchical Process (AHP) 06
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
(Dean)
Course Code MEC533
Course Category Electives
Course Title Optimization Techniques
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
03 00 00 2 + 0 + 0=2
Course Objectives:
1. To understand the theory of optimization methods and algorithms developed for solving various
types of optimization problems
2. To develop and promote research interest in applying optimization techniques in problems of
Engineering and Technology
3. To apply the mathematical results and numerical techniques of optimization theory to concrete
Engineering problems.
Course Outcomes:
After successful completion of the course, student will be able to
1. Understand importance of optimization of industrial process management
2. Apply basic concepts of mathematics to formulate an optimization problem
3. Analyse and appreciate variety of performance measures for various optimization problems
Course Contents:
Introduction To Optimization Theory
Introduction to optimization, formulation of optimization problem, Classification of optimization problems,
Optimum design of components.
Single Variable Optimization
One dimensional minimization, optimality criterion, minimum bracketing methods like exhaustive search
method, bounding phase method; optimum seeking methods like interval halving, golden section search,
successive quadratic estimation, cubic search method
Multi-Variable Optimization
Multivariable unconstrained optimization, optimality criteria, direct search methods Powell’s conjugate
direction method; gradient search methods like Cauchy’s method, Newton’s method, conjugate gradient
method and variable metric method. Constrained Optimization, Optimality conditions, penalty function
method, variable elimination method. Cutting plane method, feasible direction method. Introduction to Multi
Objective Optimization.
(Dean)
Topology Optimization
Problem formulation, parameterization of design, solution methods, combining topology and shape
optimization, application to mechanical engineering.
Evolutionary Structural Optimization
ESO based on stress level, ESO for stiffness or displacement optimization and Bidirectional Evolutionary
Structural Optimization methods and applications.
Bio Inspired Optimization
Introduction, working & Advantages of Genetic Algorithm, Simulated Annealing, Particle Swarm
Optimization, Cohort Intelligence, Ant Colony Optimization, Grass Hopper Optimization, Flower Pollination
Optimization. Etc.
Supplementary Reading:
Web Resources:
Web links:
http://nptel.ac.in/courses/111105039/
http://nptel.ac.in/courses/106108056/
Pedagogy: The pedagogy will consists of
1. Power Point Presentations. 2. Industrial Case Studies.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - 50
Assignments Test Presentations Case study MCQ Oral Any other
20 20 10 -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): NA
Practical Oral based on
practical
Site Visit Mini
Project
Problem based
Learning
Any other
00 00 00 00 00 --
Term End Examination : 50 Marks
(Dean)
COURSE STRUCTURE
Module
No.
Contents
Workload in Hrs
Theory Lab Assess
1 Introduction To Optimization Theory 05 --
2 Single Variable Optimization 05 --
3 Multi-Variable Optimization 05 --
4 Topology Optimization 05 --
5 Evolutionary Structural Optimization 05 --
6 Bio Inspired Optimization 05 --
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. Dr. S. T. Chavan) (Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Professor)
(Prof. L. K. Kshirsagar)
(Dean)
COURSE STRUCTURE
Course Code MEC534
Course Category Core Engineering
Course Title Lab Practice- III
Teaching Scheme and Credits
Weekly load hrs
L T Laboratory Credits
0 00 06 03
Pre-requisites:
Course Contents:
Assignments: Any Eight
1. Assignment on Finite Element Simulation with Programing.
2. Assignment on Single Variable Search Method with Programming.
3. Assignment on Multi Variable Search Method with Programming.
4. Assignment on Multi Objective Search Method with Programming.
5. Assignment on Nature Inspired Algorithm with Programming.
6. Assignment on Linear and Non Linear Regression.
7. Assignment on Design of Experiments and Analysis of Variance.
8. Assignment on development of G code file from CAD model of component using AM software.
9. Assignment on 3D printing from solid model.
10. Assignment on effect of variation of strategy on printed component.
Assessment Scheme:
Class Continuous Assessment (CCA) (with % weights) - NA
Assignments Test Presentations Case study MCQ Oral Any other
-- -- -- -- -- -- --
Laboratory Continuous Assessment (LCA) (with % weights): 50
Practical Oral based on
practical
Site Visit Mini
Project
Problem
based
Learning
Any other
50 00 00 00 00 --
Term End Examination : 50 Marks
Prepared By
(Prof. O. K. Kulkarni)
(Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Head, School of
(Mechanical Engineering)
COURSE STRUCTURE
Course Code MEC535
Course Category Core
Course Title Seminar-I
Teaching Scheme and Credits
Weekly load hrs
L T Lab Credits
0 0 4 0+0+2
Pre-requisites: Conversant with MS-Power Point
Course Objectives:
1.Knowledge i) Identify and compare technical and practical issues related to the area of course
specialization
2.Skills i) Outline annotated bibliography of research demonstrating scholarly skills.
ii) Prepare a well-organized report employing elements of technical writing and critical
thinking.
iii) Look for the resource material such as research papers, books, etc.
iv) Prepare a technical report with the gathered information.
v) Develop presentation skills.
3.Attitude
(i) To develop confidence in verbal presentation.
(ii) Demonstrate the ability to describe, interpret and analyze technical issues and develop
competence in presenting.
Course Outcomes:
Upon completion of this course the student will be able to:
1. To read, understand and outline an advanced information in the related field.(CL-II)
2. To identify gaps in the available literature and perform gap analysis and thus look for
future scope. (CL-III, IV)
3. Prepare and build a problem statement and undertake the research work. (CL-VI)
4. Present and elaborate the work before the experts in conferences, meetings, etc. (CL-VI)
Course Contents:
Stage-I
In this stage the student is expected to deliver the following:
1. Topic selection
2. Literature review
3. State of the art related to the topic of interest
Stage-II
1. Problem statement
2. Methodology
3. Scope and objectives
A review of the student’s progress should be made after In-Sem examination, within a
week. During this review, the student is expected to complete Stage-1 and Stage-2.
Stage-III
1. Quantification of results
2. Concluding remarks or summary
Stage-IV
1. Final report
2. Final presentation/viva
Learning Resources:
Web Resources:
https://www.sciencedirect.com/
https://www.elsevier.com/
http://www.springer.com/in/
http://taylorandfrancis.com/
Instructions for seminar report writing
It is important that the procedures listed below be carefully followed by all the students.
1. Prepare two spiral bound copies of your Seminar report.
2. Limit your seminar report to preferably 20 to 25 pages only.
3. Header For e.g. Title of the seminar.
4. The footer For e.g. page numbers
5. Institute Name, Mechanical Engineering and centrally aligned.
6. The report shall be prepared using MS Word or LateX preferably (default font
throughout) with double spacing throughout on A4 page.
Page Left Margin Right Margin Top Margin Bottom Margin
A4(8.5 11 inch) 1.5” 1” 1” 1”
7. Section titles should be bold typed in all capital letters and should be left aligned.
8. Sub-Section headings should be aligning at the left, bold and Title Case (the first letter
of each word is to be capitalized).
9. Figure No. and Title at bottom with 10 pt; Legends below the title in 10 pt
10. Please use SI system of units only.
11. References should be either in order as they appear in the report or in alphabetical
order by last name of first author.
12. Symbols and notations if any should be included in nomenclature section only
The report will be made in the following order:
1. Cover page and Front page as per specimen on separate sheet
2. Certificate from Institute as per specimen on separate sheet
3. Acknowledgement
4. List of Figures
5. List of Tables
6. Nomenclature
7. Contents
8. All section headings and subheadings should be numbered. For sections use numbers
1, 2, 3, and for subheadings 1.1, 1.2, etc and section subheadings 2.1.1, 2.1.2,... etc.
9. References should be given in the body of the text and well spread. No verbatim copy
or excessive text from only one or two references. If figures and tables are taken from
any reference then indicate source of it. Please follow the following procedure for
references
Reference Books:
Collier, G. J. and Thome, J. R., Convective boiling and condensation, 3rd ed.,
Oxford University Press, UK, 1996, pp. 110 112.
Papers from Journal or Transactions:
1. Jung, D. S. and Radermacher, R., Transport properties and surface tension of pure and mixed
refrigerants, ASHRAE Trans, 1991, 97 (1), pp. 90 98.
2. Bansal, P. K., Rupasinghe, A. S. and Jain, A. S., An empirical correction for sizing capillary
tubes, Int. Journal of Refrigeration, 1996, 19 (8), pp.497 505.
Papers from Conference Proceedings:
1. Colbourne, D. and Ritter, T. J., Quantitative assessment of flammable refrigerants in room air
conditioners, Proc. of the Sixteenth International Compressor Engineering Conference and Ninth
International Refrigeration and Air Conditioning Conference, Purdue University, West
Lafayette, Indiana, USA, 2002, pp. 34 40.
Reports, Handbooks etc.
1. United Nations Environmental Programme, Report of the Refrigeration, Air Conditioning and
Heat Pumps, Technical Option Committee, 2002, Assessment - 2002. ASHRAE Handbook:
Refrigeration, 1994 (Chapter 44)
Patent: Patent no, Country (in parenthesis), date of application, title, year.
Web-links: www.(Site) [Give full length URL]
Pedagogy: PPT Presentation
Assessment Scheme:
Class Continuous Assessment (LCA) 50 marks
Literature
Review
Concept/Idea/Originality Attendance Report Total LCA
20 10 10 10 50
Term End Examination: 50 marks (Final oral in front of a two examiners and guide.)
(15 Marks are based on Mid Semester Review for Stage-I & Stage-II and remaining 15 marks
based on Stage-III and Stage-IV review at the end of semester)
Syllabus:
Module
No. Contents
Workload in Hrs
Theory Lab Assessment
1 Stage I - 14 -
2 Stage II - 12 -
3 Stage III - 10 -
4 Stage IV - 4 -
s
Prepared By
(Mrs. Anil Mashalkar)
(Assistant Professor)
Checked By
(Prof. Dr. G. M. Kakandikar)
(Professor)
Approved By
(Prof. Dr. S. B. Desai)
(Head, School of
(Mechanical Engineering)