ME (CAD-CAM Engg.) Course Scheme

Approved by the Senate in its 83rd meeting held on March 03, 2014

Page 1

SCHEME OF COURSES FOR ME (CAD/CAM Engineering)

First Semester

S. No. Course No. Course Name L T P Cr

1. PCD103 Mechatronics 3 1 0 3.5

2. PCD105 Computer Aided Manufacturing 3 0 2 4.0

3. PCD106

Geometric Modeling and

Analysis 2 0 4 4.0

4. PCD107 Finite Element Methods 3 0 2 4.0

5. PCL105 Statistical Methods and

Algorithms

3 0 2 4.0

Total 14 1 10 19.5

Second Semester


1 PCD202 Computer Aided Design 3 1 2 4.5 2 PCD205 Robotics 3 0 2 4.0

3 PCD208 Modern Control of Dynamic Systems

3 1 0 3.5

4 PCD325 Rapid Prototyping 3 1 0 3.5 5 Elective-I 3 1 0 3.5 6 PCD291 Seminar 2 Total 15 4 4 21.0


Page 2

Third Semester


1 PCD312 Computational Fluid Dynamics 3 0 2 4.0 2 Elective-II 3 1 0 3.5 3 PCD392 Minor Project 4.0 4 Dissertation starts

Total 6 1 2 11.5

Fourth Semester


1. PCD091 Dissertation 12.0

Total 12.0

List of Electives


1 PCD313 Machine Tool Design 3 1 0 3.5 2 PCD314 Mechanism Design 3 1 0 3.5

3 PCD 315 Modelling and simulation of Dynamic Systems

3 1 0 3.5

4 PCD 316 Applied Optimization in Engineering Design

3 1 0 3.5

5 PCD206 Computer Integrated Manufacturing Systems

3 1 0 3.5

6 PCD 204 Industrial Automation 3 1 0 3.5 7 PCD 317 Advanced Robotics and control 3 1 0 3.5

Total Number of Credits: 64.0


Page 3

PCD103 MECHATRONICS

L T P Cr

3 1 0 3.5

Prerequisite(s): None

Course Objectives: To impart interdisciplinary knowledge to study modern products like household

appliances, Digital Cameras, Mobiles etc. The aim of this course to make a bridge between Mechanical,

Electronics, Instrumentation, Computer and Controls field.

Introduction: Integration of Mechanical Engineering, Electronics & control engineering and

computer science, Elements of mechatronics system, Open system and closed system.

Physical and Mathematical Modeling of Dynamic Systems: Equations of motion,

Transforming physical model to mathematical model, Linearization, Frequency response,

Component interaction.

Control Systems: Laplace transformations, Block diagram reduction, Signal flow graph,

performance specifications, Transfer functions, Stability, Types of controller, Controller design

using frequency domain and Laplace domain methods, Digital control, Z-transforms, State space

control, Regulation problem, Tracking problems, Pole placement approach

Sensors: Displacement, Position and proximity sensors, Flow sensors, Pressure and force

sensors, Motion sensors, Optical, Mechanical and thermal sensors.

Actuators in mechatronics system: Electric actuators, Stepper motors, DC motors, and AC

motors, their types and control, Hydraulic actuators and pneumatic actuators, Types and control,

Piezoelectric actuators

Electronic Elements in Mechatronic System: Analog to digital and digital to analog converters,

Operational amplifiers, Microcontrollers, Microprocessors, Logic circuit devices and gates.

Course Outcomes: The students will be able to

understand the basic elements of any Mechatronic device.

develop the mathematical model of any physical model from any engineering domain.

understand the key inputs and outputs of any physical device, different sensors and transducers to measure the outputs, interfacing of the sensors and actuators to the computers.

study and design different controllers to obtain the desired performance from the system.

Recommended Books:

1. Bolton, W., Mechatronics, Pearson Education Asia (2004).

2. Kamm, L. J., Understanding Electro-Mechanical Engineering, An Introduction to

Mechatronics, Prantice Hall of India (2000).

3. Anslander, D. M. and Kampf, C. J., Mechatronics: Mechanical System Interfacing, Prantice

Hall (1995).

4. Alciatore, D. G. and Histand, M. B., Introduction to Mechatronics and Measurement

System, McGraw Hill (1999).

5. Doebelin, E. O., Measurement Systems, Application & Design, McGraw Hill (2004).

6. Nagrath, I. J. and Gopal, M., Control System Engineering, New Age International (2008).


Page 4

PCD105 COMPUTER AIDED MANUFACTURING

L T P Cr

3 0 2 4.0


Course Objectives: To Introduce the students to the basic standard terminologies/ conventions, hardware,

applications, merits and demerits of general NC, CNC, DNC technology. To expose the students to

Automatic/ Computer Assisted NC tool path programming using professional software tools used for

complicated machining applications.

Introduction: Fundamental concepts in numerical control, Need of N.C. in machines tools, Its

advantages, Structure of NC System.

Part Programming: Block format and codes, Tool length and radius compensation, Flexible

tooling, Tool path simulation on lathe and milling, Advanced programming features, Tooling For

N. C. Machines: Tool and zero presetting, Work holding and setting up of CNC machine.

N.C. Machine Tools: Types, Definition and designation of control axes, Constructional details of

N. C. m/c tools, MCU structure and functions, Methods of improving accuracy and productivity

using NC, Problems with conventional NC.

Numerical Control of M/c Tools: NC, Functioning of NC, MCU Organization, CNC, DNC,

Adaptive control types, Uses & benefits, Advantages of CNC, DNC their structure, Combined

CNC/DNC systems.

System Devices: Drives, Feedback devices, Counting devices, DAC and ADCs, Interpolator

systems, Control loop circuit elements in PTP system, Contouring system, Incremental and

absolute systems.

Computer Assisted Part Programming: Automatic NC program generation from CAD models;

The APT language, Machining of surfaces, Mould, Casting and Die design and manufacture

using CAD/CAM software.

Laboratory Work

Exercises in manual part programming for turning and milling centers, Use of software for

simulation of turned and milled parts and simple surfaces, Automatic Cutter location data

generation from CAD Models in APT format and Post processing for machining on CNC

machines. Mould, Casting and Die design and manufacture using CAD/CAM software. Course Outcomes:

The students will be able to :

work individually and/or with an interdisciplinary team for the purpose of selection, design and use of NC technology for manufacturing applications.

generate manual/automated part programs for a given part to be machined on NC/CNC system.

understand, create and demonstrate the technical reports for manufacturing automation as well as with regard to NC machining.

Recommended Books

1. Koren, Y., Computer Control of Manufacturing systems, McGraw Hill (2009).

2. Kundra, T. K., Rao, P. N. and Tewari, N. K., Numerical Control and Computer Aided

Manufacture, McGraw Hill (2002).

3. Pabla, B.S. and Adithan, M., CNC Machines, New Age International (P) Ltd. (2007) 2nd

ed.

4. Koren, Y. and Benuri, J., Numerical Control of Machine Tools, Khanna Publishers (2005).

5. Groover, M. P. and Zimmers, E. W., CAD/CAM, Dorling Kingsley (1997).

6. Manuals of CAD/CAM Software Package on CAM Module and CNC Machines.


Page 5

PCD106 GEOMETRIC MODELING AND ANALYSIS

L T P Cr

2 0 4 4.0


Course Objectives: Exposure to CAD tools for use in mechanical engineering design conceptualization,

geometric modelling, communication, analysis and optimization, further use in CAD, CAM, CAE related

courses and research work. Impart knowledge related to principles, methods and techniques of 3D

modelling in parametric CAD software. Undertake project works in use of CAD geometric modeling

software for design analysis, evaluation and optimization using a professional software.

CAD Overview: Introduction to use of computer in Product Life Cycle, Software for mechanical

engineering CAD/CAM/CAE.

Geometric Modeling: Parametric sketching, Constrained model dimensioning, Material addition

and removal for extruded, Revolved, Swept and blended features, References and construction

features of points, Axis, Curves, Planes, Surfaces and customized analysis features, Feature and

sequence of feature editing. Cosmetic features, Chamfers, Rounds, Standard holes, File formats

for data transfer. Feature patterns, Duplication, Grouping, Suppression, Assembly modeling,

Assembly analysis tools. Top-down vs. bottom-up design, Parametric relations and design

optimization parameters creation, Mass property analysis, Automatic production drawing creation

and detailing, Software automation and customization tools, Colors and rendering, Advanced

features for non parallel blend, Helical sweep, Swept blend, Variable section sweep, Draft, Ribs,

Sketched holes, Mechanism design and assembly, Customized design & CAD automation using

user defined features UDF.

Mechanical Design Analysis and Optimization: Design analysis for mass properties, Stress,

Thermal stress, Fatigue, Fluid flow, etc using CAD/CAE packages, Optimum design of machine

components using multivariable non linear optimization techniques using iterative CAD/CAE

software tools.

Laboratory Work:

Use of standard CAD and CAE packages for modeling of mechanical elements, Assembly and

Automated Drawing. Introduction to Surfacing, Sheet metal, Assembly analysis, Mechanism

design and motion analysis, Projects involving assembly and kinematic analysis of mechanisms,

Optimization of mechanical system design using CAD/CAE software tools, Projects on

mechanical systems design and analysis. Course Outcomes: Students will be able to

use parametric CAD software for geometric modeling of mechanical designs.

translate production drawings to 3D CAD models.

evaluate a mechanical design and optimize it using CAD, CAE software.

use 2D / 3D CAD and CAE for use in other courses and research thesis work.

Recommended Books

1. Manuals & Tutorials on CAD/CAE packages like Pro/Engineer, Pro/Mechanica, ANSYS,

etc latest available in the lab.

2. Kelly, D. S., Pro/Engineer Wildfire 3.0 Instructor, McGraw Hill (2008).

3. Tickoo, S., Wild fire for Engineers + Designers Version 3.0 Designing with Pro/Engineer,

Dream Technical Publication (2008).

4. Bhatt, N. D., Machine Drawing, Charotar Publication House (2008).

5. Dhawan, R. K., Machine Drawing, S.Chand & Company (2003).

6. Sidheswar, N., Kannaiah, P. and Sastry, V. V. S., Machine Drawing, McGraw Hill (2001).

7. Shigley, J. E., Mechanical Engg. Design, McGraw Hill (2008) 8th ed.

8. Spotts, M. F. and Shoup, T. E., Design of Machine Elements, Dolly Kindersley (2006).

9. Juvinall, R. C. and Methlek, K. M., Fundamental of Machine component Design, John Wiley

and Sons (2007) 3rd

ed.


Page 6

PCD107 FINITE ELEMENT METHODS

L T P Cr

3 0 2 4.0


Course objectives: To develop the knowledge and skills needed to apply Finite Element Methods to

problems in Mechanical Engineering

Approximate Solution Methods: Finite Difference Method, Finite Element Methods, Ritz and

Rayleigh Ritz methods, Method of weighed residuals, General concepts, Point collocation,

Subdomain collocation, Least squares, Galerkin method.

Introduction to Finite Element Method: Introduction to variational calculus, The differential of

a function, Euler-Lagrange equation, Geometric & natural boundary conditions, Basic Concept of

Finite Element Method, Principle of potential energy, 1D elements, Derivation of Stiffness and

Mass matrices for a bar, A beam and A shaft, Comparison with Analytical results, Interpolation

and shape functions, Solution of static problems and case studies in stress analysis of mechanical

components, FEA using 2D and 3D elements, Plain strain and plain stress problems, FE using

plates / shell elements.

Isoparametric Elements and Analysis using Isoparametric Elements.

Importance of Finite Element Mesh: Automatic meshing techniques, Case studies using FEM

for Design of simple element geometries such as a tapered bar, A plate with a hole.

Laboratory Work

Practice of the concept covered in lecture, Use of software for finite element analysis.

Course outcomes:

The students will be able to

select the different types of element, generate mesh, construct element stiffness matrices, assemble

element stiffness matrices, impose boundary conditions, solve the equations and interpret the results

for different problems.

derive element stiffness matrices using direct method, weighted residual method, Rayleigh Ritz method and Energy methods for different problems.

apply Finite Element Methods to 1D, 2D, 3D and axisymmetric problems.

Recommended Books

1. Zienkiewicz, O. C., The Finite Element Method, Butterworth Heinemann (2002).

2. Huebner, K. H., Dewhirst, D. L., Smith, D. E. and Byrom, T. G., The Finite Element

Methods for Engineers, John Wiley (2000).

3. Reddy, J. N., An Introduction to the Finite Element Method, McGraw Hill (2001) 2nd

ed.

4. Bathe, K. J., Finite Element Procedures, Prentice Hall of India (2008).

5. Cook, R. D., Concepts and Applications of Finite Element Analysis, John Wiley and Sons

(2001) 4th ed.

6. Buchman, G. R., Finite Element Analysis, Schaums Outlines, McGraw Hill (1995). 7. Chandrupatla, T. R. and Belgundu, A. D., Introduction to Finite Elements in Engineering,

Prentice Hall of India (1997) 2nd

ed.

8. Jordan, C. Calculus of Finite Differences, American Mathematical Society (1979).


Page 7

PCD202 COMPUTER AIDED DESIGN

L T P Cr

3 1 2 4.5


Course objectives: To understand the basic parametric fundamentals that are used to create and manipulate

geometric models.

Introduction: Definition and scope of CAD/CAM, Introduction to design process and role of

computers in the design process.

Transformations: 2D and 3D transformations.

Curves and Surfaces: Analytical, Synthetic curves with advantages, Disadvantages, Comparison

with parametric curves, Geometric modeling curves and surfaces, Representation, Wire frame

models, Parametric representations, Parametric curves and surfaces, Manipulations of curves and

surfaces, DDA, Bresenhams /Mid point line, Circle, Line clipping algorithm.

Solid modeling: Solid models, Fundamentals of solid modeling, Different solid representation

schemes, Half -spaces, Boundary representation (B-rep), Constructive solid geometry (CSG),

Sweep representation, Analytic solid modeling, Perspective, Parallel projection, Hidden line

removal algorithms.

CAD/CAM Data Exchange Formats: Types of file formats & their exchange, Graphics

standards.

Laboratory Work

Practice on available CAD packages, Computer programming for geometric modeling of curves,

Surfaces & solids, Study and use of reverse engineering tools, programming to surface model a

point cloud and in any available CAD package.

Course outcomes:


create the different wireframe and surface primitives using parametric modeling.

create the different solid primitives using the different representation schemes.

manipulate the created wireframe, surface and solid models.

Recommended Books

1. Zeid, I., CAD/CAM, McGraw Hill (2008).

2. Rogers, D. F. and Adams, J. A., Mathematical Elements for Computer Graphics, McGraw

Hill (1989) 2nd

ed.

3. Rogers, D. F., Procedural Elements for Computer Graphics, McGraw Hill (2008).

4. Rooney, J. and Steadman, P., Principles of Computer Aided Design, prentice Hall (1988).

5. Rooney, J. and Steadman, P., Computer Aided Design, Pitman/Open University (1987).

6. Mallineuse, G., Computational Concepts and Methods, Kogan Page Ltd. (1986).

7. Rayan, D. L., Computer Aided Graphical Design, Marcel Dekker (1981).

8. Radhakrishnan, P. and Kothandaraman, C. P., Computer Graphics & Design, Dhanpat Rai

Publication (2005) 2nd

ed.

9. Krishnamoorathy, C. S. and Rajeev, J. S., Computer Aided Design (Software and Analysis

Tools), Narosa Publication House (2005) 2nd

ed.


Page 8

PCD205 ROBOTICS

L T P Cr

3 0 2 4.0


Course Objectives: To Introduce the students to the basic terminologies, applications, design specifications,

and mechanical design aspects both kinematics and dynamics of industrial robotics/ manipulator along with

various types and working of sensors and actuators used in robotic applications

Introduction: Definition of a robot, Economic aspects in robot applications with respect to

quality and productivity, Robot classifications and applications.

Robot Kinematics: Homogeneous co-ordinates and co-ordinate transformations, Forward and

inverse kinematics.

Robot Dynamics: Introduction to Lagrangian and Newton-Euler formulations.

Robot in Work Place: Robot Trajectory planning considering velocity and acceleration. Work

cell organization in robotics environment, Work cell design and control, Robot vision,

Introduction to image processing.

Methods of Robot Programming: Introduction to on-line and off-line robot programming

methods.

Laboratory Work

Exercises in programming of robots, Exercises in design and layout of robot workplace. Course Outcomes:

The students will be able to:

work individually and/or with an interdisciplinary team for the purpose of manipulator design for a specific need using mechanical kinematic structure along with the understanding of requirements

from robotic work cell controller and its programming, for enabling robotic manipulator to work in an

integrated automated industrial environment.

understand, create and demonstrate the technical reports for robotic automation.

Recommended Books

1. Fu, K.S., Gonzalez, R.C. and Lee, C.S.G., Robotics: Control, Sensing, Vision, and

Intelligence, McGraw Hill (1987).

2. Schilling, R.J., Fundamentals of Robotics Analysis and Control, Prentice Hall of India

(2006).

3. Craig, J.J., Introduction to Robotics: Mechanics and Control, prentice Hall (2004).

4. Deb, S.R., Robotics and Flexible Automation, McGraw Hill (2004).

5. Saha, S.K., Introduction to Robotics, McGraw Hill (2008).

6. Niku, S.B., Introduction to Robotics: Analysis, system, application, Dorling kingsley (2006).


Page 9

PCD208 Modern Control of Dynamic Systems

L T P Cr

3 1 0 3.5


Course Objectives: To introduce the concept, importance, classification and design of control systems to

the students with Mechanical background. The objective of this course is to impart basic knowledge about

classical and modern control, limitations of classical control and concepts as well as strengths of modern

control.

Introduction: Introduction to control system, feedback and non-feedback systems, design of

control systems, classification of control systems.

Classical Control: Poles and zeros, singularity functions, frequency response, Laplace transform,

transfer functions, performance specifications, stability of linear systems, necessary conditions

for stability, root locus techniques, bode plots, Nyquist plots, Routh stability criterion, polar plots,

robustness, closed-loop compensation for SISO systems.

State-Space Representation: State variables and state models, linear transformation for state-

space representation, state models for linear continuous time systems, system characteristics,

canonical forms, solution of the LTI state equations, state transition matrix.

Control System Design in State-Space: Controllability, observability, state feedback regulators,

pole-placement regulator design, pole-placement design of tracking systems, full and reduced

order observer design, design of compensators, Eigen-structure assignment, effects of collocation

and non-collocation of actuator.

Linear Optimal Control: Optimal control problem, infinite-time linear optimal regulator design,

optimal control of tracking systems, output weighted linear optimal control, solution of the

Matrix Riccati equation.

Digital Control: Introduction to digital systems, A/D and DA conversion, mathematical

modeling of the sampling process, zero-order hold, first-order hold and polygonal hold.

Course Outcomes:


study, understand and appreciate the concepts of classical, modern and digital control.

understand the concepts related to the performance, stability, and robustness of any control system in frequency domain.

develop the state-space representation, canonical forms and solutions of the LTI state equations of any MIMO system.

appreciate the concepts of controllability, observability, regulators, pole-placement design of tracking systems, design of observers and compensators.

formulate an optimal control problem and solve LQR design problem.

Recommended Books

1. Ogata, K., Modern Control Engineering, Prentice Hall of India Pvt. Ltd., 2010

2. Nagrath, I.J. and Gopal, M, Control Systems Engineering, New Age International

Publishers, (2006).

3. Kuo, B. C., Digital Control Systems, Oxford University Press, (2006).


Page 10

PCD325 RAPID PROTOTYPING

L T P Cr

3 1 0 3.5


Course Objectives: To explore the automatic fabrication of 3D physical parts using additive

manufacturing technology. To use of additive manufacturing for rapid prototyping takes designs from

computer aided design (CAD), tessellates them in RP software and then build the actual physical 3D

models in an additive manner layer-by-layer.

Introduction: Classification of manufacturing processes, Different manufacturing systems,

Introduction to rapid prototyping (RP), Need of RP in context of batch production, FMS and CIM

and its application; Basic Principles of RP, Steps in RP, Process chain in RP in integrated CAD-

CAM environment, Advantages of RP.

Classifications of Different RP Techniques: Based on raw material, Based on layering

technique (2D or 3D) and energy sources.

Process Technology in RP: Comparative study of stereo-lithography (SL) with photo-

polymerization, SL with liquid thermal polymerization, Solid foil polymerization, Selective laser

sintering, Selective powder binding, Ballastic particle manufacturing, both 2D and 3D, Fused

deposition modeling, Shape melting, Laminated object manufacturing, Solid ground curing,

Repetitive masking and deposition, Beam inference solidification, Holographic interference

Solidification, Special topic on RP using metallic alloys, Programming in RP, Modelling, Slicing,

Internal hatching, Surface skin fills, Support structure.

CAD Data and Programming Techniques for RP: Data requirements, Solid modeling for RP,

Surface modeling, Geometric processes, Interface formats, Model preparation, Slicing methods,

Design of support structures, Internal hatching and surface skin fills.

Materials for RP: Plastics, Ceramics, Resins, Metals, Selection criterions for materials for

different processes, The advantages and limitations of different types of materials.

Course Outcomes:


understand the importance of Rapid Prototyping Technology over the existing traditional methods in present competitive scenario in terms of product development cycle and cost.

understand the insight into various modern rapid prototyping techniques, how the different processes work, how they have developed, applications, material used and strengths as well as weaknesses of

each technology.

Recommended Books

1. Kai, C. C., Fai, L. K. and Sing, L. C., Rapid Prototyping: Principles and Applications,

World Scientific Publication (2008).

2. Grimm, T., User's Guide to Rapid Prototyping, Society of Manufacturing Engineers (2004).

3. Gebhardt, A., Rapid Prototyping, Hanser Gardner Publications (2003).

4. Upcraft, S. and Ranky, P. G., Rapid Prototyping Solutions, CIMware USA, Inc (2003).

5. Jacob, P. F., Rapid Prototyping and Manufacturing, Fundamentals of Sterolithography,

SME (1992).

6. Rapid Prototyping Reports, CAD/CAM Publishings (1991).

7. Zeid, I., CAD/CAM: Theory and Practice, McGraw Hill (2007).


Page 11

PCD312 COMPUTATIONAL FLUID DYNAMICS

L T P Cr

3 0 2 4.0


Course Objectives: To impart the knowledge of governing equations for fluid flow and different

turbulence models. To learn about the numerical methods used to solve the partial differential equation. To

solve the fluid flow problem using CFD tool.

Introduction: Motivation and role of computational fluid dynamics, Concept of modeling and

simulation.

Governing Equations of Fluid Dynamics: Continuity equation, Momentum equation, Energy

equation, Various simplifications, Dimensionless equations and parameters, Convective and

conservation forms, Incompressible invisid flows Basic flows, Source panel method, Vortex

panel method.

Nature of Equations: Classification of PDE, General behavior of parabolic, Elliptic and

hyperbolic equations, Boundary and initial conditions.

Finite Difference Method: Discretization, Various methods of finite differencing, Stability,

Method of solutions.

Incompressible Viscous Flows: Stream function-vorticity formulation, Primitive variable

formulation, Solution for pressure, Applications to internal flows and boundary layer flows.

Laboratory Work

Development of software for CFD, Use of commercial software for CFD analysis. Course Outcomes:


acquire adequate knowledge of various types of fluid flow governing equations.

analyze the internal fluid flow phenomena of any Engineering system.

acquire enough knowledge to design of the Engineering systems using commercial computational code

Recommended Books

1. Ghosdastidar, P. S., Computer Simulation of Flow and Heat Transfer, McGraw Hill (1998).

2. Roache, P. J., Computational Fluid Dynamics, Hermosa (1998).

3. Wendt, J. F., Computational Fluid Dynamics An Introduction, Springer-Verlag (2008).

4. Muralidhar, K. and Sundararajan, T., Computational Fluid Flow and Heat Transfer,

Narosa (2008) 2nd

ed.

5. Jaluria, Y. and Torrance, K. E., Computational Heat Transfer, Taylor & Francis (2003).

6. Patankar, S. V., Numerical Heat Transfer and Fluid Flow, Taylor & Francis (2007).


Page 12

PCD313 MACHINE TOOL DESIGN

L T P Cr

3 1 0 3.5


Course Objectives: To explore various design aspects of machine tools elements like transmissions,

structures, materials, kinematics, dynamics and construction of machine tools, etc. To understand concepts

related to design of Die and Punch.

Introduction: General requirement of machine tool design, Techno-economic pre-requisites.

Machine Tools: Kinematics structure & mechanical, Hydraulic and electrical drives, Design of

hydrostatic, Hydrodynamic and antifriction guideways, Design of spindles, Design of speed box

and feed box, Stepped and step less regulations of speed and feed diagram, Ray diagram, Layout

of spindles drive and feed drive in machine tools, Machine tool structures, Design of bed, Heard

stock, Spindle supports and power screws, Machine tool dynamics.

Jigs and Fixtures Design: Applications in manufacturing, principle of location & clamping,

types of locators and clamps, Design of jigs and fixtures, selection of materials.

Die and Punch Design: Applications in manufacturing, Design of various type of dies, selection

of materials for casting and forging dies.

Course Outcomes: At the end of the course the students will be able to:

develop the conceptual design, manufacturing framework and systematic analysis of design problems

on the machine tools

apply the design procedures for different types of design problems such as gear box design, guide way

design, shaft loading and its associated parts, rolling bearings, die design and jigs and fixtures and so

on.

design, develop, and evaluate cutting tools and work holders for a manufactured product.

Recommended Books

1. Mehta, N. M., Machine Tool Design & Numerical Control, McGraw Hill (2004).

2. Sen, G.C. and Bhattacharya, A., Machine Tools, Central Book Agency (1989) 2nd

ed.

3. Pandey, P.C. and Singh, C.K., Production Engineering Sciences, Standard Publishers

(2003).

4. Basu, S. K. and Palo, D.K., Design of Machine Tools, Allied Publishers (2008) 5th ed.

5. Acherkhan, N.S., Machine Tool Design, Mir Publishers (1983).

6. Boothroyd, Fundamentals of Metal Machining and M/C Tools, McGraw Hill (1998) 2nd

ed.

7. Meiroitch, L., Elements of Vibration Analysis, McGraw Hill (1980) 2nd

ed.

8. Sharma, P.C., Text of Production Engineering, S. Chand (2006).

9. Pandey, P.C. and Shan H.S., Modern Machining Processes, McGraw Hill (1980).


Page 13

PCD314 MECHANISM DESIGN

L T P Cr

3 1 0 3.5


Course objective: To learn techniques for structural analysis and synthesis of mechanisms useful for

design and development of machines. To learn about number, type and kinematic synthesis for optimum

design of machines for function, path and motion generation.

Introduction to Kinematic Motion and Mechanisms: The four bar linkage, The science of

relative motion, Kinematic diagrams, Six-bar chains, Degrees of freedom, Analysis vs. Synthesis.

Mechanism Design Philosophy: Stages of design, The synthesis process, Design categories and

mechanism performance parameters.

Mechanism Analysis: Displacement velocity and acceleration analysis, Kinematic Synthesis of

Mechanisms: Type, Dimensional, Number synthesis-The associated linkage concept. Graphical

methods, Tools and computer programming for synthesis of mechanisms for two, three and four

prescribed positions, Path generation, Prescribed and un-prescribed timings, Analytical synthesis

techniques, Function and motion generation, Number of prescribed positions vs. Number of free

choices, Extension of three-precision-point synthesis to multi-loop mechanisms.

Dynamics of Mechanisms: Inertia forces, Kineto-static analysis by complex numbers,

Superposition method, Matrix method, Time response, Modification of time response of

mechanisms, Virtual work, Lagrange equations of motion.

Spatial Mechanisms: Review of transformations for spatial mechanisms, Analysis of spatial

mechanisms, Link and joint modeling with elementary matrices. Kinematic analysis of an

industrial robot, Position, Velocity and acceleration analysis.

Course outcomes:

After studying this course the students will be

equipped with required knowledge for creating and innovating practically useful mechanisms and

machines.

motivated to carry out research activities in this area.

Recommended Books

1. Sandor and Erdman, A.G., Mechanism Design (Analysis and Synthesis), Prentice Hall of

India (2001).

2. Sandor and Erdman, A.G., Advanced Mechanism Design (Analysis and Synthesis), Prentice

Hall (1984).

3. Shigley, J. E. and Uicker, J. J., Theory of Machines and Mechanisms, McGraw Hill (1995)

2nd

ed.

4. Beyer, R. A., Kinematic Synthesis of Mechanisms, McGraw Hill (1963).

5. Cowie, A., Kinematics and Design of Mechanisms, International Textbook (1961).

6. Hall, A. S. (Jr.), Kinematics and Linkage Design, Wave land (1986).

7. Hartenberg, R.S. and Denavit, J., Kinematic Synthesis of Linkages, McGraw Hill (1964).


Page 14

PCD315 Modelling and Simulation of Dynamic Systems

L T P Cr

3 1 0 3.5

Prerequisite(s): Design of Machine Elements

Course Objectives: To impart knowledge about the energy interaction of different components of a system. To model systems residing in different energy domains and to control directly the theoretical

analysis and synthesis, fault detection and isolation.

Syllabus: Modelling in multi-energy domain through bond graphs: Introduction to bond graphs, Power

variables of bond graphs and models of simple circuits, Reference power directions, Bond graph

elements and their constitutive relations, Causality, Generation of system equations from bond

graph models. The Idea of activation.

System Modelling: Modelling of a system of rigid bodies, structural systems, Hydraulic

systems, Thermal systems, electronic and mechatronic systems.

Modelling of multi body systems: mechanisms, manipulators and vehicles.

Advanced topics in bond graph modelling of physical systems: Elements of multi-bond

graphs, Thermo-mechanical bond graphs and continuous systems and other systems of typical

interest.

Control System: Modelling systems for control strategies and design of control strategies in

physical domain.

Numerical prototyping as modelling for design and synthesis using computational tools like

SYMBOLS, MATLAB etc.

Course Outcomes:


Model of rigid bodies, structural systems, hydraulic systems, thermal systems, electronic and mechatronic systems.

Understand and model mechanisms, manipulators, vehicles etc. Analyze and model of different control strategies in physical domain.

Recommended Books

1. A. Mukherjee, R. Karmakar, A.K. Samantaray, Bond Graph in Modeling, Simulation and fault Identification, CRC Press, FL, 2006.

2. D.C. Karnopp, D.L. Margolis, R.C. Rosenberg, System Dynamics, Modeling and Simulation of Mechatronic Systems, John Wiley & Sons, NY, 2000.

3 B Ould Bouamama , J Thoma , Jean U Thom, Modelling and Simulation in Thermal and

Chemical Engineering: A Bond Graph Approach, Springer, New York (2000).

4 Dean Karnopp, Vehicle Dynamics, Stability, and Control, CRC Press, (2013).

5 R. Merzouki, A.K. Samantaray, P.M. Pathak, B. Ould Bouamama, Intelligent Mechatronic

Systems: Modeling, Control and Diagnosis, Springer, New York (2012).

6 Borutzky, W., Bond graphs: a methodology for modelling multidisciplinary dynamic

systems, SCS Publishing House, Erlangen, San Diego (2004).


Page 15

PCD316 Applied Optimization in Engineering Design

L T P Cr

3 1 0 3.5


Course Objectives: The main objective of this course is to provide the thorough knowledge of formulating

an optimization problem, classification of optimization techniques, different solution strategies, and

performance criterion. The course will also highlight the basics of evolutionary optimization techniques as

compared to classical techniques.

Optimization Studies: Problem formulation, Solution Strategies, Performance Criteria,

Classification of Optimization techniques.

One-dimensional Optimization Methods: Optimality Criteria necessary and sufficient conditions, Bracketing methods, Region-Elimination methods, Point Estimation method, Gradient

based methods, Sensitivity analysis.

Multi-dimensional Optimization Methods: Optimality Criteria, Unidirectional search, Direct

Search methods, Gradient-based methods. Conjugate-direction methods, Quasi-Newton methods.

Constrained Optimization Methods: Constrained Optimization Criteria, Penalty Methods,

Method of Multipliers, Direct search methods, Linearization methods, Feasible Direction method,

Generalized Reduced Gradient Method, Gradient Projection method, Quadratic Approximation,

and Concept of Duality. Applications of Unconstrained and Constrained Optimization.

Linear programming Methods: Formulation of problems, Analytical and Graphical solutions,

Simplex Method, Integer Programming, Interior Point Methods. Duality Theory.

Specialized Optimization Techniques: Introduction to Multi-Objective optimization; Global

Optimization: Criteria, Simulated Annealing, Steepest Descent method; Introduction to Genetic

Algorithms.

Course Outcomes: The students will be able to

study as well as solve one-dimensional and multi-dimensional optimization problems.

formulate as well as analyze unconstraint as well as constraint optimization problems.

develop Analytical and Graphical solutions of LP problems, Simplex Method

appreciate the concepts of Integer Programming as well as Duality Theory.

understand the basic concepts of Multi-Objective optimization and Genetic Algorithms.

Recommended Books:

1. Deb, K., Optimization for Engineering Design Algorithms and Examples, Eighth printing, Prentice Hall of India Pvt. Ltd., 2005.

2. Deb, K., Multi-objective Optimization using Evolutionary Algorithms, First, John Wiley and Sons, 2009.

3. Rao, S.S., Engineering Optimization Theory and Practice, Fourth Edition, John Wiley and Sons, 2009.

4. Belegundu, A.D., Chandrupatla, T.R., Optimization Concepts and Applications in Engineering, Second Edition, Cambridge University Press, 2011.

5. Dasgupta, B., Applied Mathematical Methods, First, Pearson Education India, 2006.


Page 16

PCD203 COMPUTER INTEGRATED MANUFACTURING SYSTEMS

L T P Cr

3 1 0 3.5


Course Objectives: To impart knowledge about the integration of interdisciplinary fields of computer

aided design, computer aided manufacturing, automatic identification system, automatic storage & retrieval

system, design and analysis of various automatic material handling systems as a whole. To make the

students aware about various techniques of reverse engineering, data collection and its availability to

automated subsystems.

Introduction: Types of production systems and their automation, CAD/CAM integration.

Concept of FMS and CIMS.

Elements of a General CIM System: Types of CIM systems, CAD-CAM link for CIMS,

Benefits of CAM, FMS and CIMS, Automated material handling systems, equipment and their

functions. Integration of Robots in CIMS, Automatic Storage and Retrieval Systems (AS/RS),

Carousel, Palletization and fixtures.

CIMS configurations: DNC based factory management and control, Integrated CAD/CAM

system and shared database.

Introduction to Rapid Prototyping, and Rapid Tooling: Reverse engineering, Concept of

concurrent engineering, Product life cycle management.

Group Technology: Concept and terminology, Part family formation, Classification and coding

systems for components, Group technology machine cells.

Computer Aided Process Planning: CAPP and route sheet development, CAPP system,

Computer aided plant layout.

Computer Aided Production Planning and Control: Inventory control and MRP. Computer

aided shop floor control, process monitoring, Computer aided inspection & quality control, Shop

floor data collection systems, Shop floor control, Sensors used, Tool management system,

Automatic identification systems, Barcode system.

Introduction to fundamentals of computer communications: Networking, Computer-machine-

personnel communication links, Network architectures & techniques, Information flow in

networks, Network standards,

CIM Database and Database Management Systems: Types, Management information system,

Manufacturing data preparation.

Course Outcomes: With this course students will be able to

understand the structure of modern day computer integrated manufacturing system and design to improve the existing manufacturing facility

effectively participate in the integration of multidisciplinary capabilities and applications of different fields in automation of any existing facility

improve the shop floor management and data collection system

understand the importance of product life cycle and product quality

Recommended Books:

1. Groover, M. P. and Zimmers, E. W., CAD/ CAM, Dorling Kingsley (2008). 2. Groover, M. P., Automation, Production systems and Computer Integrated Manufacturing,

Pearson Education Asia (2009).

3. Vajpayee, K.S., Principles of Computer Integrated Manufacturing, Prentice Hall (2006).

4. Rao, P. N., Tewari, N. K. and Kundra, T. K., Computer Integrated Manufacturing, McGraw Hill (1998).

5. Software Manuals for tutorial on reverse engineering and quality control using 3D scanner- Scan tools, Surface modeling, Die Design, Automated part programming-2, 3, and 5 axis,

QUEST, PLM software like Intralink, WindChill, etc. available from the supplier, in laboratory.


Page 17

PCD204 INDUSTRIAL AUTOMATION

L T P Cr

3 1 0 3.5


Course Objectives: To inculcate the ability to design of hydraulic, pneumatic and electro-pneumatic logic

circuits for automating processes in manufacturing, demonstrate problem-solving skills in automation, and

safely use the machines in the industries. Also, to explore the use of different sensors, control valves,

controllers and actuators for electro-pneumatic & hydraulic circuits.

Introduction to Factory Automation and Integration: Basic Concepts, Types of automation,

Automation strategies.

Introduction to Hydraulics/Pneumatics Electro-pneumatic controls and devices, Basic

elements hydraulics/pneumatics, Electro-pneumatic systems, Fluid power control elements and

standard graphical symbols for them, Construction and performance of fluid power generators,

Hydraulic & pneumatic cylinders - construction, design and mounting, Hydraulic & pneumatic

valves for pressure, Flow & direction control, Servo valves and simple servo systems with

mechanical feedback, Solenoid, Different sensors for electro-pneumatic system, hydraulic,

pneumatic & electro-pneumatic circuits.

Design of pneumatic logic circuits for a given time displacement diagram or sequence of

operation. Pneumatic safety and remote control circuits and their applications to clamping,

Traversing and releasing operations, Automatic transfer systems: Automatic transfer, Feeding and

orientation devices.

Automatic transfer machines: Classifications, Analysis of automated transfer lines, Without

and with buffer storage, Group technology and flexible manufacturing system.

Assembly automation: Types of assembly systems, Assembly line balancing, Performance and

economics of assembly system.

Course Outcomes:


understand the benefits and applications of automation in various manufacturing systems.

design and simulate various logic circuits for different automating processes in manufacturing systems.

solve the complex industrial problems by different automation approaches

Recommended Books:

1. Groover, M. P., Automation, Production System & Computer Integrated Manufacturing,

Pearson Education Asia (2009).

2. Nakra, B. C., Automatic Control, New Age International (2005).

3. Morriss, S. B., Automataed Manufacturing Systems, McGraw Hill (2006).

4. Majumdar, S. R., Pneumatic Systems, McGraw Hill (2005).


Page 18

PCD317Advanced Robotics and Control

L T P Cr

3 1 0 3.5

Prerequisite(s): Robotics (PCD-205)

Course Objectives: The main objective of this course is to impart basic as well as advanced knowledge to

familiarize the students with the four broad areas of robotics. These broad areas include kinematics, dynamics, trajectory planning and control. All these areas are covered in the domain of serial robotic

manipulators with a flavor of redundant chains.

Review of robot manipulators: Importance and evolution of robotic manipulators, robot

classifications, applications, robot specifications, Forward kinematics, Inverse kinematics,

Velocity Kinematics, Manipulator Jacobian, Manipulator Dynamics: Newton-Euler formulation,

Euler-Lagrange formulation.

Path and Trajectory Planning: Joint-space schemes, Cartesian-space schemes, configuration

space, path planning using potential fields, Avoiding local minima, Probabilistic roadmap

methods; Trajectory planning: PTP method, using Via points.

Linear Control of Manipulators: Feedback Control: Proportional, Derivative and Integral

Control, PID control, regulation problem, tracking problem, model based control, trajectory-

following control.

Nonlinear Control of Manipulators: Feed forward control, Feedback Linearization, PD control

with gravity compensation, Computed toque control, Adaptive Control, Robust Control, Sliding

Mode Control, Lyapunov stability analysis, Cartesian based control schemes.

Redundant Manipulators: Singularity and Workspace analysis, redundancy resolution, obstacle

avoidance and singularity avoidance.

Course Outcomes:


Solve the kinematic problem: Forward kinematics, Inverse kinematics, Velocity Kinematics.

Develop the dynamic model of any serial manipulator using Newton-Euler formulation and Euler-Lagrange formulation.

Plan the path as well as trajectories of robots in joint space and Cartesian space.

Formulate the control problem of robotic manipulators using linear as well as nonlinear control schemes.

Understand the key concepts of multi-tasking of redundant manipulators like redundancy resolution, obstacle avoidance and singularity avoidance.

Recommended Books:

1. Fu, K. S., Gonzalez, R. C. and Lee, C. S., Robotics: Control, Sensing, Vision, and

Intelligence, McGraw Hill (1987).

2. Schilling, R. J., Fundamentals of Robotics Analysis & Control, Prentice Hall of India

(2003).

3. Craig, J. J., Introduction to Robotics: Mechanics and Control, Pearson Education (2004).

4. Spong, M. W. Hutchinson, S. and Vidyasagar, M: Robot Modeling and Control, Wiley

(2006)

5. Nakamura, Y: Advanced Robotics: Redundancy and Optimization, Addison-Wesley Pub.

Co. (1991)

ME (CAD-CAM Engg.) Course Scheme

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Transcript of ME (CAD-CAM Engg.) Course Scheme