ganpat university faculty of engineering & … · 2017-08-18 · ganpat university faculty of...

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY

TEACHING AND EXAMINATION SCHEME Programme Bachelor of Technology Branch/Spec. Mechatronics Engineering

Semester VII

Effective from Academic Year 2017-18 Effective for the batch Admitted in July 2014

Subject

Code Subject Name

Teaching scheme Examination scheme (Marks)

Credit Hours (per week) Theory Practical

Lecture(DT) Practical(Lab.) Lecture(DT) Practical(Lab.) CE SEE Total CE SEE Total

L TU Total P TW Total L TU Tota

l

P TW Total

2MC701 Advance Controller

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC702 Robotics 3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2ME703 Production Technology

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC704 Operation Management

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC705

Digital Image Processing & Machine Vision

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC706 Minor Project 0 0 0 2 0 2 0 0 0 4 0 4 0 0 0 50 50 100

2MC707 *Industrial

Training 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 25 25 50

Total 15 0 15 8 0 8 15 0 15 14 0 14 200 300 500 200 200 400

Note(*) = Students have to take 2 to 3 weeks industrial training at the end of Semester VI and prepare an industrial training report and evaluation of that

report will be assess at starting of Semester VII.

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY

TEACHING AND EXAMINATION SCHEME Programme Bachelor of Technology Branch/Spec. Mechatronics Engineering

Semester VIII


Subject

Code Subject Name


Credit Hours (per week) Theory Practical

Lecture(DT) Practical(Lab.) Lecture(DT) Practical(Lab.) CE SEE Total CE SEE Total

L TU Total P TW Total L TU Tota

l

P TW Total

2MC801

Computational Intelligence Techniques

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC802

Computer Integrated Manufacturing

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2ME704 Computer Aided Design

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC804 Mechanical System Design

3 0 3 1 0 1 3 0 3 2 0 2 40 60 100 25 25 50

2MC805 Major Project 0 0 0 4 0 4 0 0 0 8 0 8 0 0 0 100 100 200

Total 12 0 12 8 0 8 12 0 12 16 0 16 160 240 400 200 200 400

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY Programme Bachelor of Technology Branch/Spec. Mechatronics Engineering

Semester VII Version 2.0.0.0


Subject code 2MC701 Subject Name ADVANCE CONTROLLERS


(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100

Hours 3 0 2 0 5 Practical 25 25 50

Pre-requisites:

A student has to understood following subjects before learning these subjects:

• Basic knowledge of working of switches, relays, contactors.

• Basic knowledge of semiconductor, microprocessor and micro-controller.

• and any computer programming.

Learning Outcome:

After successful completion of the course, student will be able to

• Understand the purpose, functions, and operations of a PLC.

• apply the concept of electrical ladder logic and its relationship to programmed PLC instruction.

• use timer, counter, and other intermediate programming functions,

• design and program basic PLC circuits for entry-level PLC applications and automated industrial

production line.

Theory syllabus

Unit Content Hrs

1

Control Algorithms:

Digital Proportional, Proportional Integral & Proportional Integral Derivative controller

algorithms, adoptive control.

7

2 Programmable Logic controller:

Brief history, difference between PC & PLC, architecture, benefits, PLC cycle Application 6

3 Input modules of PLC:

AC module, DC module, TTL module, isolated modulus, BCD module and others 7

4 Output modules of PLC:

AC module, DC module, TTL module, Isolated modules, BCD modules and others. 6

5

PLC programming:

Overview of PLC programming methods, ladder diagram, various examples of PLC application, a

basic relay type instruction, timer and counter instructions, logical and arithmetic instructions,

data handling instructions.

12

6 SCADA system, DCS:

Overview of SCADA and DCS system, its Components. 7

Practical content

The Practical/term work shall be based on the topics mentioned above and will be defended by the

candidates.

Text Books

1 Garry Duning, “Programmable Logic Controller”, Cengage Learning Edition 3rd.

2 W. Bolten, “Programmable Logic Controller”, Elsevier Newner Publication Edition 4th.

3 L.A.Bryan, E.A.Brayan, “Programmable Controllers Theory & Implementation”, Industrial Text

Reference Books

1 Petruzella, “Programmable Logic Controllers”, McGraw – Hill 2 George L Balten Jr., “Programmable Controllers”, McGraw – Hill 3 A.J. Crispin, “Programmable Logic Controllers and their Engineering Applications”, McGraw – Hill 4 Johnson, “Process Control and Instrumentation / Technology”, PHI 5 B. G. Liptak, “Process Control Hand Book”, Chilton 6 Krishna Kant, “Computer based Industrial control”, PHI 7 David Bailey, Edwin Wright, “Practical SCADA for industry”, Elsevier publication, 2003

GANPAT UNIVERSITY




Subject code 2MC702 Subject Name ROBOTICS



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• Good programming skills in MATLAB and Basic knowledge of linear algebra.

Learning Outcome:


• Importance of robotics in today and future goods production.

• Robot configuration and subsystems.

• Principles of robot programming and handle with typical robot

• Working of mobile robots.

Theory syllabus

Unit Content Hrs

1

Introduction:

Brief history of development of robots, robot terminology, classification,

characteristic, physical configuration, structure of industrial robot.

5

2

Robot end effectors and toolings:

Types, mechanical grippers, other types of gripper, tools as end effectors, Robot/end

effectors interface, design consideration. Robot tooling items, Robot trajectory

planning, Numerical examples.

6

3

Coordinate Frames, Mapping and Transforms:

Mapping between Rotated Frames, Translated Frames and Rotated & Translated,

Transformation OF Vectors, Inverting a Homogeneous Transform, Fundamental Rotation

Matrices.

6

4

Robot Direct Kinematic and Inverse Kinematics Model:

Introduction to manipulator kinematics, Kinematic Modelling of the Manipulator, Denavit -

Hhartenberg Notation, Manipulator Transformation Matrix, Solvability of Inverse Kinematic Model.

10

5

Robot motion analysis & control:

Robot dynamics, manipulator differential Motion and Statics, Robot control, Task planning,

trTrajectory Planning

5

6 Robot Programming:

Basics of robot programming, languages, commands, communications and data processing 8

7

Applications in Mechatronics:

Application of robots in the areas of welding, electro-plating, painting, spraying,

assembling, material handling, inspection, future applications. Design robots for

specific applications.

5

Practical content


candidates.

Text Books

1 R. K. Mittal & I. J. Nagrath, “Robotics & Control ”, TMH

2 James G. Keramas , “Robot technology fundamentals”, Delmar publishers

3 Robert J. Schilling, “Fundamentals of robotics – analysis & control”, PHI edition

Reference Books

1 Mikell P. Groover,“Industrial Robotics(Technology, Programming and applications)”, McGraw Hill

Editions.

2 Douglas R. Malcolm. Jr., “Robotics – An introduction”, Delmar Publisher Inc

3 K.S. Fu, R. C. Gonzaler, C. S. G. Lee, “Robotics-Control, sensing, vision and Intelligence”, McGraw Hill

editions.

4 Richard D. Klatter, Negin, Chmielewski, “ Robotic Engineering and Integrated Approach”, Prentice Hall

Of India

5 Tsuneo Yoshikawa, “Fundamentals of Robotics – Analysis And Control”, Prentice Hall Of India

6 S.R. Deb., “Robotics Technology and flexible Automation”, Tata Mc. Graw Hill

7 S. K. Saha, “Introduction to Robotics”, Tata Mc. Graw Hill

GANPAT UNIVERSITY




Subject code 2MC703 Subject Name PRODUCTION TECHNOLOGY



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:

• Students should have the basic knowledge of Manufacturing Processes.

Learning Outcome:

After learning this course, student should be able to:

• The students will be able to Model the material removal in various modern manufacturing processes

• Analyze the processes and evaluate the role of each process parameter during machining of various

advanced materials.

• Solve the various problems for the given profiles to be imparted on the work specimens.

• Select the best process out of the available various advanced manufacturing processes for the given

job assignment.

• Understand requirements to achieve maximum material removal rate and best quality of machined

surface while machining various industrial engineering materials.

Theory syllabus

Unit Content Hrs

1

Cutting Tool:

Types of single point and multi-point tools, Tool bit, Tipped tools, Form tools, Tool geometry

and tool signature, Its systems, Tool materials, Positive and negative rake cutting, Recent

developments in cutting tool materials, Selection of cutting tool from manufactures

catalogue.

05

2

Theory of Metal Cutting and Economics of Machining Process:

Orthogonal and oblique cutting, theory of chip formation, Types of chips, Thickness ratio

and shear plane angle, Forces and power in machining, Concept of machinability, Tool

wear and tool life, Economics of machining, Cutting fluids, Types, Properties and scope of use.

Thermal Analysis.

10

3 Analysis of Machine Tool:

Study of general features relating to frames, Slides, Transmission of motion & power.

05

4

Gear and Thread Manufacturing:

Different types thread manufacturing methods and tooling involved study of different gear

generating and forming methods with their special features, Gear finishing processes.

05

5

Newer Machining Techniques:

Study of unconventional newer machining techniques EDM, USM, AJM, ECM EBM, LBM, Wire

Cut EDM, Plasma, and WJM Machining Processes.

10

6

Jigs and Fixtures:

Definition, Its importance in mass production, Design principles, Types of locating & clamping

devices, Jig bushes, Types of drilling jigs, Types of fixtures

04

7 Press Tool Design:

Design of blanking piercing, Drawing and bending dies.

06

Practical content

The term work shall be based on experimental and analytical work on topics mentioned above.

Text Books

1 P.C. Sharma, “Production Engineering.” Published by S .Chand, New Delhi.

2 R.K. Jain, “Production Engineering”. , Khanna Publishers, New Delhi. Reference

Reference Books

1 Serope Kalpakjian & Steven R , “Manufacturing Engineering & Technology,” Pearson Education Asia,

New Delhi. Published 1994.

2 H.M.T , “Production Technology”, Tata McGraw-Hill, New Delhi.

3 Pandey & Singh, “Production Engineering Science”, Standard Publishers, Delhi

4 Geoffrey Boothroyd, “Fundamentals of Metal Machining and machining tool” ,Tata McGraw-Hill, New

Delhi

GANPAT UNIVERSITY




Subject code 2MC704 Subject Name OPERATION MANAGEMENT



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• Basic mathematics

• Understanding of Engineering systems

Learning Outcome:


• Identify and develop operational research models from the verbal description of the real system.

• Understand the mathematical tools that are needed to solve optimisation problems.

• Use mathematical software to solve the proposed models.

• Develop a report that describes the model and the solving technique, analyse the results and propose

recommendations in language understandable to the decision-making processes in Management

Engineering.

Theory syllabus

Unit Content Hrs

1

Introduction to Operation Research:

History of OR, Approach, Techniques & tools, typical application of OR, Scope of OR, Limitations

of OR.

2

2

Linear Programming:

General L.P. Format, formulation of production problems, Method of solution: Graphical,

Simplex, Modified simplex, Big M and 2 phase methods, Application of L.P. to solve problems of

production systems.

6

3

Transportation Model:

Formulation, methods of solution: North West Corner, Least cost and Vogel's approximation

methods; Optimality tests: Stepping stone and MODI methods; degenerate and unbalanced

transportation problems, Application to production systems

5

4

Assignment Model:

Formulation; Methods of solution: Enumeration, transportation, Hungarian methods; Areas of

application in the solution of production problems.

4

5

Project Management:

CPM and PERT in project management, Concept of slack/float and its significance; project cost

analysis, crashing, resource smoothing and leveling, Applications in production systems.

6

6

Inventory Control:

Inventory parameters and properties; Deterministic and probalistic, inventory models; Concept

of zero inventory; Sensitivity analysis; Application to production problems.

5

7

Production Planning and control:

Introduction-Types of Production systems (Mass production, process production, batch

production, job production ), Characteristics, Function and objective of Production planning

control-product design and development including standardization and simplification-sales

forecasting:- concept, techniques, application,- process planning and routing, material control,

loading, scheduling, dispatching, progress reporting, expediting, preplanning use of computer

6

in PPC.

8

Inspection and Quality Control:

Inspection:- function, types, objectives and benefits. Quality control:- principles, introduction

to concepts of quality circles, total quality management and quality assurance. Statistical

quality control:- concept, variable and attributes, normal distribution curves, its property charts

for variable and attributes and their application, interpretation (analysis) process capability,

sampling plans, acceptance sampling, OC curves and AOQ curves.

6

9 Queuing Theory:

Introduction, Performance measures, classifications, Single server Queuing models 5

Practical content


candidates.

Text Books

1 V. K. Kapur, “Operation Research”

2 O. P.Khanna, “Industrial Engineering and management”, Dhanpatrai Publications Ltd.

Reference Books

1 Wilkes Michael, “Operational Research, Analysis and Applications”, McGraw H ill

2 Richard Levin et.al., “Quantitative approaches to Management”, McGraw H ill

3 Vohra D.N., “Quantitative Techniques in Management”, Tata McGraw Hill

4 J.K.Sharma, “Operation Research”

5 K. K. Ahuja, “Industrial management”, Khanna Publishers

GANPAT UNIVERSITY




Subject code 2MC705 Subject Name DIGITAL IMAGE PROCESSING & MACHINE VISION



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• Matrix operations and fundamental knowledge of Linear Albebra

• Working knowledge of random number and probability theory

• Applied Discrete Mathematics

• Programming knowledge of C/MATLAB

Learning Outcome:


• Represent and interpret image in its numeric and graphical form

• Understand geometric relationship of pixels

• Write simple codes for improving image quality

• Extract useful information from image contents through processing

• Understand and document needs for specific machine vision system

• Develop machine vision system based on requirement

Theory syllabus

Unit Content Hrs

1

Introduction:

Background, definition, Origin of DIP, Digital image representation, fundamental steps in image

processing, elements of digital image processing systems, image acquisition, storage,

processing, communication and display.

3

2

Digital Image Fundamentals:

Structure of the human eye, image formation, brightness adaptation and discrimination, a

simple image model, uniform and non-uniform sampling and quantization, some basic

relationships between pixels, neighbors of a pixel, connectivity, Labeling. Relations,

equivalence and transitive closure, distance measures, imaging geometry.

7

3

Image Enhancement in the spatial domain:

Basic gray level transformations, histogram processing, Enhancement using arithmetic/logic

operations, Basics of spatial filtering-comparison between smoothing and sharpening spatial

filters.

6

4

Image Enhancement in the frequency domain:

1D Fourier transform-2D Fourier transform and its Inverse-Smoothing & sharpening frequency

domain filters (Ideal, Butterworth, Gaussian)-homomorphic filtering.

4

5

Image compression:

Fundamentals-Image compression, Error-free compression, Huffman coding, block coding,

constant area coding, variable length coding, bit-plane coding, lossless predictive coding-source

and channel encoding-decoding-Lossy compression, lossy predictive coding, transform coding.

8

6

Machine vision:

Introduction, definition, Active vision system, Machine vision components, hardware’s and

algorithms, image function and characteristics, segmentation, data reduction, feature

extraction, edge detection, image recognition and decisions, m/c learning, application of

machine vision such as in inspection of parts, identification, industrial robot control, mobile

14

robot application, Competing technologies, CCD line scan and area scan sensor, Videcon and

other cameras, Triangulation geometry, resolution passive and active stereo imaging, laser

scanner, data processing.

7

Industrial M/C vision:

Industrial machine vision in production and services, structure of industrial m/c vision, generic

standards, rules of thumb, illumination, optics, image processing, interfacing machine vision

system, vision system calibration.

3

Practical content


candidates.

Text Books

1 Rafael C.Gonzalez and Richard E. Woods,“Digital Image Processing”, Richard E. Woods.

2 Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing using MATLAB”, Main purpose-Practical

3 Bershold Klaus, Paul Holm, “Robot vision”, The MIT press.

Reference Books

1 N. G. Palan, “Digital Signal Processing”, Tech-Max...Publication

2 John G. Prokis, Dimitris G. Manolakis, “Digital Signal Processing (Principles, Algorithms and appls.)”, PHI.

Publication

3 Alan V. Oppenheim, Ronald W. Schafer, “Discrete-Time Signal Processing”, Pearson Edu...Publication

4 A.K. Jain, “Fundamentals of Digital Image Processing”, Prentice Hall of India

GANPAT UNIVERSITY




Subject code 2MC706 Subject Name MINOR PROJECT



L TU P TW

Credit 0 0 2 0 2 Theory 0 0 0


Pre-requisites:


• knowledge of Mechatronics Subjects

Learning Outcome:


• converse their theoretical subject knowledge to practical

• do analysis of system

• report writing

• work in team

Theory syllabus

Unit Content Hrs

1 Detail Study/Design/Evolution of System/Equipment by Group of Students:

Project Report preparation and Presentation during the semester. 60

GANPAT UNIVERSITY


Semester VIII Version 2.0.0.0


Subject code 2MC801 Subject Name COMPUTATIONAL INTELLIGENCE TECHNIQUES



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• knowledge Numerical Methods

• 2. C/C++ language or MATLAB tool

Learning Outcome:


• Student understands what optimization is. • Where, which optimization should be utilized. • What is intelligence technique? • 4. How to use intelligence techniques for implement smartness.

Theory syllabus

Unit Content Hrs

1

Introduction to Optimization:

Introduction , Historical Development, Engineering Applications of Optimization , Statement of

an Optimization Problem, Classification of Optimization Problems, Optimization Techniques

5

2

Classical Optimization Techniques:

Introduction, Single-Variable Optimization, Multivariable Optimization with No Constraints,

Multivariable Optimization with Equality Constraints, Multivariable Optimization with

Inequality Constraints

10

3

Expert Systems:

An Introduction to Expert System, Explanation Facilities, Expert System Developments Process,

knowledge acquisition.

7

4

Fuzzy Logic: Human-like decision making:

Definition of fuzzy set, Membership function, Notation of fuzzy set, Operations of fuzzy set,

Fuzzy number and operations, Extension principle, Fuzzy rules, De-fuzzification, Fuzzy control

7

5

Artificial Neural Network:

An introduction to artificial intelligence and biological neural network, Artificial Neural

Networks, Neural programming based on Matlab

8

6

Modern Methods of Optimization:

Introduction, Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization,

Optimization of Fuzzy Systems, Neural-Network-Based Optimization

8

Practical content


candidates.

Text Books

1 S.S. Rao, “Engineering Optimization”, New age international publication, 3rd edition.

2 T. J. Ross, “Fuzzy logic with Engineering Application”, McGraw-Hill.

3 B. Yeganarayana, “Artificial Neural Network”, PHI

Reference Books

1 J. Arora, “Introduction to Optimum Design”

2 P. Y. Papalambros and D. J. Wilde, “Principles of Optimal Design”

3 Rich and Knight, “Artificial Intelligence”, McGraw-Hill.

4 Dukipatti, “Matlab programming”

GANPAT UNIVERSITY




Subject code 2MC802 Subject Name COMPUTER INTEGRATED MANUFACTURING



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• Basic knowledge of part modelling.

• Basic knowledge of Lathe and Milling machine operations and tools.

• Basic knowledge of operation management.

Learning Outcome:


• understand the basic principles of part programming for CNC machining.

• Understand the CAM software for part programming and interface with CNC machine.

• create and optimize a part program using programming concepts for practical applications.

• appreciate the role of computers in managing shop floor.

• understand the components and application of FMS and Robots.

Theory syllabus

Unit Content Hrs

1

Introduction to CIM & Its Components:

CIM Concept, Objective of CIM Implementation, CIM Construction. Architecture, layout and

component standards, systems, LAN, workstations, software, integration, decision support

system, Brief review of Different types of drives in automation like servo, stepper & DC drive

4

2

NC/CNC Machines, Controls & Peripherals:

Introduction, components, NC procedure, coordinates and motion control. Brief introduction

to latest CNC controllers and leading brands of machine tools, Turn-Mill centers, Twin spindle

and Multi-spindle machines, Gantry loaders, Conveyor and transfer lines, Five axis machining.

and HEXAPOD. Introduction to CNC, DNC, VNC and adaptive control. Automatic tool changer

(ATC), Auto work changer (APC), automated jigs & fixtures, coolant system, chip conveyor

system, Auto part loading devices. In process measuring system, touch probes and Non-contact

type measurements.

7

3

Basic Part Programming:

Axes movements and interpolation with other axis. Application of rotary axis. Manual

programming-offline. Programming formats, Tool offsets, Type of compensations and cutting

parameters. G-codes and M-codes Introduction .to Computer Assisted part programming.

8

4

Group Technology & Flexible Manufacturing:

Introduction, engineering parts with design and manufacturing attributes, composite part,

methods and algorithms for grouping, role of group technology in automation. Introduction

flexibility, measures of flexibility, flexible machines, cells and systems.

6

5

Material Handling and Storage:

Types, characteristics, Automated Guided vehicle systems( AGVS), guidance, routing and

control, Automated Storage/Retrieval Systems (AS/RS), Components, controls and applications;

Integration of automated material handling and storage systems to manufacturing

environment.

7

6 CIM Management, Customer-Supplier Communication & MIS:

Need for CAPP, types, benefits, Management of CIM resources, introduction to SAP ERP 6

package, Electronic trading, voice text data, purchasing strategies. MIS for manufacturing

systems, Intelligent manufacturing, CIM Future

7

Automation:

Different types of production systems and automation, hard/ fixed automation including

process automation, Transfer machines, Special purpose machine and Walking beam, Flexible

Automation and Programmable Automation, Production and automation economics etc.

7

Practical content


candidates.

Text Books

1 S.S. Rao, “Engineering Optimization”, New age international publication, 3rd edition.

2 T. J. Ross, “Fuzzy logic with Engineering Application”, McGraw-Hill.

3 B. Yeganarayana, “Artificial Neural Network”, PHI

Reference Books

1 J. Arora, “Introduction to Optimum Design”

2 P. Y. Papalambros and D. J. Wilde, “Principles of Optimal Design”

3 Rich and Knight, “Artificial Intelligence”, McGraw-Hill.

4 Dukipatti, “Matlab programming”

GANPAT UNIVERSITY




Subject code 2ME704 Subject Name COMPUTER AIDED DESIGN



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• Fundamental knowledge of Mechanical Engineering Subjects

• Knowledge of programing languages like C, C++ and MATLAB

Learning Outcome:


• select input and output devices for computer systems for mechanical engineering requirements.

• understand of mathematical of basic geometrical shapes and concept for geometry manipulation.

• prepare program of basic shapes, curves, surfaces and solids.

• operate analysis software for analysis of mechanical components.

Theory syllabus

Unit Content Hrs

1

Fundamentals of CAD:

Introduction, Reasons for implementing a CAD system, Computer aided process application,

Benefits, CAD softwares, Elements of programming, CAD programming.

4

2

Computer Aided Graphics:

Image on screen, Scan conversion, Graphic mode, Graphic function, Pixel, Drawings, Line,

Curves (Circle, ellipse etc…), Filling of objects

7

3

Geometrical Transformation Two and Three Dimensions:

• Two-dimensional transformation

Matrix presentation, Presentation of transformation in uniform and composite

transformation, Mirror image, Shearing, Homogeneous matrix

• Three-dimensional transformation

Three dimensional representation of matrix, Translation, Scaling, Rotation, Mirror, Shearing,

Composite matrix.

5

4

Geometrical Modeling:

Types and mathematical representation of curves, Wire frame models, Entities are

presentation

Parametric representation, Review of vector algebra, Lines, Circles, Ellipse, Parabola,

Parametric representation of synthetic curves, Cubic curves, B- spline, Bezier spline, Sweep

curve, Surface and solid model, Entities, Representation, Fundamentals of solid modeling, B-

rep, Constructive solid geometry, Analytical modeling, STL &Octri Models.

6

5

Finite Element Analysis:

Methods of analysis - FEM, FDM, FBM, Application of FEA, Boundary conditions, Pre processing,

Solution, Pro processing, Introduction to different FEA professional software

6

6

Elements and Mesh Generation:

Basic types of elements 1-D, 2-D, 3-D, Element selection criteria, Co-ordinate systems and

shape functions, 1D thermal Analysis.

6

7

One Dimensional Problem:

Finite element modeling, Node numbering, Element stiffness matrix, Assembling global

stiffness matrix K, Properties of K, Treatment of boundary conditions, Gaussian

6

elimination approach and penalty approach, Stress calculations, Temperature effects, Shape

functions.

8

2-D Trusses:

2-D problem Plain stress, Local and global co-ordinates, Element stiffness matrix, Global

stiffness matrix, Solution for nodal displacement and elemental stresses.

5

Practical content


candidates.

Text Books

1 Dr.Chandrupatla and Dr.Belegundu, “Introduction to Finite elements in Engineering Applications.”,

Pearson education, New Delhi.

2 Ibrahim Zeid, “CAD/CAM Theory and Practice”, TataMcGraw-Hill, New Delhi.

Reference Books

1 Dr. S. S. Khandare, “Computer Aided Design”, Charotar publishing house, Anand, Gujarat.

2 P. Radhakrishnan S. Subrarnanyan, V. Raja, “CAD/CAM/CIM”, New Age International (P) Ltd., Delhi.

3 F. Rogers and J. Alan Adams, “Mathematical Elements for Computer Graphics”, TataMcGraw-Hill, New

Delhi.

GANPAT UNIVERSITY




Subject code 2MC804 Subject Name MECHANICAL SYSTEM DESIGN



L TU P TW

Credit 3 0 1 0 4 Theory 40 60 100


Pre-requisites:


• Fundamentals of machine design

• Design of machine element

• Engineering mathematics

Learning Outcome:


• Learn theories of gear failure and its design.

• Design criteria of different types of bearing design and selections from manufactures’ catalogue.

• Design different machine tool elements like speed box, feedbox etc.

• Learn optimum design of machine components like shaft, rod and torsion bars etc.

Theory syllabus

Unit Content Hrs

1

Design of Gears:

Spur gear, helical gear, bevel gear & worm gear, Consideration of form factor, velocity factor,

service factor, and stress concentration factor for gear tooth profile, reliability factor.

Consideration under dynamic action and wear load, Selection of material of gear,

Consideration of surface finish & surface hardness, Gear lubrication, Load rating of m/c cut

spur & helical gears.

14

2

Design of Bearings:

Introduction, classification, sliding contact bearing, hydrodynamic bearings, design criteria of

hydrodynamic bearings, design procedure, step and collar bearings, foot step bearing, roller

bearings, bearing capacity, static load rating, dynamic capacity of bearing, bearing life, needle

bearings, thrust bearing, design of ball and roller bearings, design for variable loading, methods

of mountings, bearing seals, lubrication of bearing.

14

3

Design of Machine Tool Elements:

Failure criteria for Machine tool structure design, Selection of material, Design of Speed

gearbox of machine tool, Structure and Speed diagram.

11

4 Introduction to Optimum Design Using Johnson Method:

Application to machine elements like rods, shaft, spring, torsion bars. 7

Practical content


candidates.

Text Books

1 Bhandari, “Machine design”, Tata Mcgraw-Hill

2 N. K. Mehta, “Machine tool design and numerical control”, Tata Mcgraw-Hill

Reference Books

1 Haidari, “Machine design”, NiraliPrakashan

2 Joseph Shiglay, “Mechanical Engineering Design”, Mcgraw-Hill

3 “Design Data Book” , PSG Publication

GANPAT UNIVERSITY




Subject code 2MC805 Subject Name MAJOR PROJECT



L TU P TW

Credit 0 0 4 0 4 Theory 0 0 0

Hours 0 0 8 0 8 Practical 100 100 200

Pre-requisites:


• Basic knowledge of mechatronics subjects.

• market and societal requirements.

Learning Outcome:


• Critical and creative exposure of project.

• Convert ideas in to product.

• Successful completion of any task as a project in their life.

Theory syllabus

Unit Content Hrs

1 Detail Study/Design/Evolution of System/Equipment by Group of Students:

Project Report preparation and Presentation during the semester. 40

2 Project report should be justified/ supported with proper analytical work by student. 80

ganpat university faculty of engineering & … · 2017-08-18 · ganpat university faculty of...

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