First Year M. Tech. TRIMESTER I (Batch 2018 19) Mechanical ... · Static and dynamic characteristics, Calibration, Generalized Measurement System, Instrumentation schemes, Experimental

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)


Sr.

No.

Course



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







Oral Examination


Dean, Engineering

First Year M. Tech. TRIMESTER – III (Batch 2018 – 19)


Sr.

No.

Course



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




Total First Year M. Tech Credits: 35




Oral Examination


Dean, Engineering

Second Year M. Tech. TRIMESTER – IV (Batch 2018 – 19)


Sr.

No.

Course




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







Oral Examination


Dean, Engineering

Second Year M. Tech. TRIMESTER – V (Batch 2018 – 19)


Sr.

No.

Course




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







Oral Examination


Dean, Engineering

Second Year M. Tech. TRIMESTER – VI (Batch 2018 – 19)


Sr. No. Course




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







Oral Examination


Dean, Engineering


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


http://nptel.ac.in/course.php


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 Title Advanced Mathematical Methods


Weekly load hrs


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 - -


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


Attendance/


Behaviour

Total

25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks

Laboratory Continuous Assessment (LCA): NA


practical

Site

Visit Mini Project

Problem based

Learning Any other

- - - - - -


https://onlinecourses.nptel.ac.in/noc17_me28

https://onlinecourses.nptel.ac.in/noc17_ma06/

COURSE STRUCTURE

Course Code MEC513

Course Category Core Engineering

Course Title Computer Aided Design


Weekly load hrs


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.


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


Attendance/


Behaviour

Total

25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks

http://www.fit.vutbr.cz/research/groups/graph/

Laboratory Continuous Assessment (LCA) (with % weights): 50


practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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 Title Lab Practice - I


Weekly load hrs


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

--- --- --- ---



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 Title Computer Integrated Manufacturing


Weekly load hrs


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


Attendance/


Behaviour

Total

25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


COURSE STRUCTURE

Course Code MEC522


Course Title Discreet Event System Simulation


Weekly load hrs


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.


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.


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


Attendance/


Behaviour

Total

25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks



practical

Site Visit Mini

Project

Problem based

Learning

Any other

00 00 00 00 00 --


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


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.


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


(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.


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/downloads/101104010/


(Dean)




Assessment Scheme:


*Assignments/Case



25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks



practical

Site Visit Mini Project Problem

based

Learning

Any other

00 00 00 00 00 --


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 Title Data Base Management System


Weekly load hrs.


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.


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.


Web Resources:

Web links:

http://codex.cs.yale.edu/avi/db-book/db5/slide-dir/index.html



Assessment Scheme:


*Assignments/Case



25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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 Title Micro And Nano Fabrication Technique


Weekly load hrs


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.


Web Resources:

Web links:


http://nptel.ac.in/courses/117105082/11




Assessment Scheme:


*Assignments/Case



25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks

Laboratory Continuous Assessment (LCA) (with % weights): NA


practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


Module

No. Contents

Workload in Hrs

Theory Lab Assess


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 Title Integrated Product Design & Development


Weekly load hrs


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.


Web Resources:

Web links:









Assessment Scheme:


*Assignments/Case



25 marks

(50%)

20 marks

(40%)

05 marks

(10%) 50 marks



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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 Title Lab Practice- II


Weekly load hrs


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:


Assignments Test Presentations Case study MCQ Oral Any other

-- -- -- -- -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

50 00 00 00 00 --


(Prof. L. K. Kshirsagar) (Dean)

COURSE STRUCTURE

Course Code MEC531


Course Title Automated Manufacturing System Modelling


Weekly load hrs


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.





Assessment Scheme:



20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


Module

No. Contents

Workload in Hrs

Theory Lab Assess


2 Automated Manufacturing Systems 06 --

3 Markov Chain Models 06 --

4 Queuing Models 06 --

5 Petri Net Models 06 --

Prepared By



Checked By

(Prof. Dr. G. M. Kakandikar)

(Professor)

Approved By


(Professor)


(Dean)

COURSE STRUCTURE

Course Code MEC 532


Course Title Additive Manufacturing


Weekly load hrs.


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.


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,


(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.


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


http://additivemanufacturing.com/basics/

http://www.lboro.ac.uk/research/amrg/

https://www.ptc.com/en/cad-software-blog/3d-printing-vs-additive-manufacturing


(Dean)

Assessment Scheme:



20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


Module

No. Contents

Workload in Hrs

Theory Lab Assess


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



Checked By

(Prof. G. P. Borikar)

(Associate Professor)

Approved By


(Professor)

( Prof. L.K.Kshirsagar ) ( Dean )

COURSE STRUCTURE

Course Code MEC532


Course Title Customization Of CAD/CAM Software


Weekly load hrs


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


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)


Web Resources:

Web links:



Assessment Scheme:




20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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


(Professor)

Approved By


(Professor)


COURSE STRUCTURE

Course Code MEC532


Course Title Materials For Engineering Applications


Weekly load hrs


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


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.


Web Resources:

Web links:








Assessment Scheme:



20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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


Checked By


(Professor)

Approved By


(Professor)


(Dean)

COURSE STRUCTURE

Course Code MEC532


Course Title Product Lifecycle Management


Weekly load Hrs


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:


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


(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


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



https://www.plm.automation.siemens.com/global/en/

https://www.3ds.com/products-services/enovia/


(Dean)

Assessment Scheme:



10 20 10 10 -- -- --

Laboratory Continuous Assessment (LCA) (with % weights):


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


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



Checked By


(Professor)

Approved By


(Professor)


COURSE STRUCTURE

Course Code MEC533


Course Title Automated Material Handling Systems


Weekly load hrs


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,


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.


Web Resources:

Web links:


http://nptel.ac.in/downloads/112101098/





Assessment Scheme:



20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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


Checked By


(Professor)

Approved By


(Professor)


COURSE STRUCTURE

Course Code MEC533


Course Title Computer Aided Analysis


Weekly load hrs


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:


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


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.


Web Resources:

Web links:









Assessment Scheme:



20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


Module

No. Contents

Workload in Hrs

Theory Lab Assess


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


Checked By


(Professor)

Approved By


(Professor)


(Dean)

COURSE STRUCTURE

Course Code MEC 533


Course Title Management of Technology


Weekly load hrs.


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.


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.


(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.


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




https://www.youtube.com/watch?v=NvcHmWARfW8

https://www.youtube.com/watch?v=LxWnXK9M69E

https://www.youtube.com/watch?v=uV4g9p08nXg


(Dean)

Assessment Scheme:



20 10 10 10 -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

00 00 00 00 00 --


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



Checked By


(Professor)

Approved By


(Professor)

(Dean)

Course Code MEC533

Course Category Electives

Course Title Optimization Techniques


Weekly load hrs


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.


Web Resources:

Web links:





Assessment Scheme:



20 20 10 -- -- --



practical

Site Visit Mini

Project

Problem based

Learning

Any other

00 00 00 00 00 --




(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



Checked By

(Prof. Dr. S. T. Chavan) (Professor)

Approved By


(Professor)


(Dean)

COURSE STRUCTURE

Course Code MEC534


Course Title Lab Practice- III


Weekly load hrs


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:



-- -- -- -- -- -- --



practical

Site Visit Mini

Project

Problem

based

Learning

Any other

50 00 00 00 00 --


Prepared By



Checked By


(Professor)

Approved By


(Head, School of


COURSE STRUCTURE

Course Code MEC535


Course Title Seminar-I


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

https://www.elsevier.com/

http://www.springer.com/in/

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)


Checked By


(Professor)

Approved By


(Head, School of


Documents

First Year M. Tech. TRIMESTER I (Batch 2018 19) Mechanical ... · Static and dynamic characteristics, Calibration, Generalized Measurement System, Instrumentation schemes, Experimental