FLEXIBLE MANUFACTURING SYSTEM:

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1 GANPAT UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY Programme Master of Technology Branch/Spec. Mechanical Engineering/ AMS Semester II Version Effective from Academic Year Effective for the batch Admitted in July 2016 Subject code 3ME201 Subject Name Computer Aided Manufacturing Teaching scheme Examination scheme (Marks) (Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total L TU P TW Credit Theory Hours Practical Pre-requisites: Learning Outcome: After learning this course, the student would be able to: Understand the basic principles of part programming for CNC machining. Learn the basics of selection of appropriate operations, cutting parameters, Cutting tools and software to machine a part. Understand the how to create and optimize a part program using programming Concepts for practical applications. Understand the execution of part program to produce quality part on CNC machine. Understand the components and design of FMS and CIM. Theory syllabus Unit Content Hrs 1 INTRODUCTION: Objectives of Computer Aided Manufacturing, Identify business opportunities and problems 06 evolving manufacturing environment, Introduction to Control, Drives and Controls interpolators for CNC machine tools, Numerical Control, Types of CNC systems. 2 NC/CNC MACHINES: 20 Components of NC/CNC system, Specification of CNC system, Classification of NC/CNC machines, CNC machines axis identification, NC/CNC tooling. Manual part programming: Fundamentals of Manual part programming, Manual part programming for lathe, Milling and Drilling machine operations, Subroutines, Macro, do loop, sub programming, canned cycles. Computer assisted part programming: Need, List of computer assisted programming languages, CAD based CNC programming using CAM software, Methods of CAD to CAM integration. 3 FLEXIBLE MANUFACTURING SYSTEM: 14 Introduction of FMS, Need of FMS, General consideration of FMS, Types of FMS, Flexibilities and their measurement, Various mathematical techniques for flexibility measurements, Manufacturing cells, cellular v/s flexible manufacturing, Application of JIT and GT to FMS, Material handling function, Automated material handling, AGVs, automated storage/retrieval systems, selection of robots, layout of robotics cell. 4 COMPUTER INTEGRATED MANUFACTURING SYSTEMS: Basic information of CIMS, Hardware and Software requirement for CIMS, Benefits, Scope and needs, CIM wheel, Elements of CIMS and their role, Computer technology and manufacturing, 12

2 database requirement, Fundamentals of communication, Database management, database models, DBMS architecture, Steps to implement CIM, Its management, emerging technologies like: Expert systems, Computer Vision, lasers in manufacturing (Machinery & Metrology). Practical content The term work shall be based on experimental and analytical work on the topics mentioned above and will be defended by the candidates. Text Books 1 Radhakrishnan P., Subramaniyam S., CAD/CAM and CIM New Age International, Grover, M. P. Automation, Production System and CIM, Prentice Hall of India, 1998 Reference Books 1 David Bedworth, Computer Integrated Design and Manufacturing, Tata McGraw Hill, New Delhi, William W. Luggen, Flexible Manufacturing Cells and System, Prentice Hall, England Cliffs, Newjersay, Ranky, PaulG., Computer Integrated Manufacturing, Prentice Hall International, Yoren Koren, Computer Integrated Manufacturing Systems, McGraw Hill, Peter Smid CNC Programming Handbook, 3rd Edition, New York V. K. Jain, Narija Bajaj, Computer Network and Communications Cyber Tech Publications, New Delhi 2006.

3 GANPAT UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY Programme Master of Technology Branch/Spec. Mechanical Engineering/ AMS Semester II Version Effective from Academic Year Effective for the batch Admitted in July 2016 Subject code 3ME202 Subject Name Engineering Optimization Teaching scheme Examination scheme (Marks) (Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total L TU P TW Credit Theory Hours Practical Pre-requisites: Learning Outcome: After learning this course, the student would be able to: To equip the students with the Engineering Optimization fundamentals. The course aims at integrating traditional design methodologies with concepts and techniques of modern optimization theory and practice. In the course the student will learn to create an appropriate mathematical description (a simulation model) of the design problem. To formulate the optimization problem and finally to use numerical optimization techniques and computer support tools in order to solve the problem. Theory syllabus Unit Content Hrs 1 INTRODUCTION: 0 6 Introduction, Historical development, Engineering Application, Optimization Techniques, Classification 2 CLASSICAL METHODS: 10 Basic Concepts of Optimization-Convex and Concave Functions, Necessary and sufficient conditions for Stationary Points; Optimization of One-dimensional Functions; Unconstrained Multivariable Optimization, Multivariable optimization with equality and inequality constraint 3 ONE DIMENSIONAL MINIMIZATION METHODS: 12 Introduction, Unimodal Function, Unrestricted Search, Exhaustive Search, Dichotomous Search, Interval Halving Search Method, Fibonacci Method, Golden Section Method, Quadratic Interpolation Method 4 UNCONSTRAINED MINIMIZATION METHOD: 12 Introduction, Random Search Method, Grid Search Method, Univariate Method, Steepest Decent Method, Newton s Method 5 CONSTRAINED MINIMIZATION METHOD: 10 Introduction, Random Search Method, Complex Method, Sequential Linear Programming Method 6 SOLVING REAL PROBLEMS OF MECHANICAL SYSTEM: Welded Beam Design, Speed Reducer (Gear Train), Process Equipment (Heat Exchanger, Pressure Vessel) etc. 06 Practical content Text Books

4 1 2 Reference Books 1 Singiresu S. Rao, Engineering Optimization 4 th Edition Elsevier G.V.Rekllaitis, A.Ravindran, K.M.Ragsdell, Engineering Optimization-Methods and Applications 2 nd Edition Wiley India, Deb Kalyanmoy, Optimization for Engineering Design: Algorithms and Examples. 2 nd Edition PHI, 2012.

5 GANPAT UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY Programme Master of Technology Branch/Spec. Mechanical Engineering/ AMS Semester II Version Effective from Academic Year Effective for the batch Admitted in July 2016 Subject code 3ME203 Subject Name Advanced Manufacturing Processes-II Teaching scheme Examination scheme (Marks) (Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total L TU P TW Credit Theory Hours Practical Pre-requisites: Learning Outcome: After learning this course, the student would be able to: Understand the basic of various process of casting and welding. Design the gating and risering of casting. Learn the melting practices of ferrous and non ferrous metals. Learn and Evaluate metallurgical aspect of welding processes. Learn and implementation testing of cast and welded components. Theory syllabus Unit Content Hrs 1 INTRODUCTION TO CASTING: 02 Moulding sand and Binders, Mould and core making, Pattern making, Melting furnaces for different types of metals and alloys. 2 GATING AND RISERING OF CASTING: Solidification of metal and alloys. Gating system and its function, Risering of castings, Design and positioning of risers, Factors affecting casting designs. 3 MOULDING AND CASTING PROCESSES: Permanent mould casting, shell moulding, Die casting, Vacuum die casting, Squeeze casting, CO2 moulding, Centrifugal casting, Investment casting, Continuous casting etc. Design rationalization, CAD/CAM and GT benefits. 4 DEFECTS IN CASTINGS: 02 Defects arising with various casting processes, their identification and prevention methods. 5 NONFERROUS FOUNDRY PRACTICES: Property of liquid metal and then significations in casting, fluxing, degassing, grain refinement and modification of nonferrous alloys. 6 SIMULATION OF CASTING PROCESSES: 02 Solidification of casting, Mould filling analysis and numerical simulation. 7 CAST IRON CASTING PRACTICES: Types of Cast iron, Fe-C-Si Phase diagram, Graphitization theory, under cooling theory, types of inoculation, Role of inoculation, Inoculation techniques, Mg treatment 8 INTRODUCTION TO WELDING PROCESS: 01 9 WELDING PROCESS: 06

6 Gas Welding, Arc Welding, Resistance Welding, Solid State Welding 10 PHYSICAL AND METALLURGICAL ASPECTS OF WELDING: 05 Emission and ionization of arc, arc characteristics,, Welding power sources, arc blow, thermal aspects of welding, metallurgical effects of welding, heat affected zone 11 RESIDUAL WELDING STRESSES: 02 Concepts, types of residual stress, control of residual stress, causes of residual stress etc 12 WELDING INSPECTION AND TESTING: Destructive testing like tensile, bend, impact and non-destructive testing like leak test, X-ray and gamma ray radiography, magnetic particle test, liquid dye penetration test, ultrasonic etc. 13 WELDABILITY OF SPECIFIC METALS: WELDING CODES AND STANDARDS: 02 Practical content The term work shall be based on experimental and analytical work on the topics mentioned above and will be defended by the candidates. Text Books 1 2 Reference Books 1 P. L. Jain, Principles of Foundry Technology, 5 th Edition, TMH Publications, Howard B. Cary, Scott Helzer, Modern Welding Technology, 6th Edition. 3 Little R. L. Welding Technology, Tata McGraw Hill, New Delhi, Davies A. C. The science and practice of welding, East West Press, JeffusLarry, Welding Principles and Applications Delmar Publishers, Richard Heine, Carl Loper, Philip Rosenthal, Principles of Metal Casting, TMH Publications, A. Ghosh and A. K. Mallik, Manufacturing Science, East west press, New Delhi, H.S.Bawa, Manufacturing Technology-I, TMH Publications, New Delhi, S.V.Nadkarni, Modern Arc Welding Technology, Oxford and IBH Publishing Co. Pvt. Ltd., A. K. Chakrabarti, Casting Technology and Cast Alloys, 1st Edition, PHI Learning Pvt. Ltd. 11 Peter Beeley, Foundry Technology, 2nd Revised edition, Butterworth-Heinemann Ltd. 12 B.Ravi, Metal Casting- Computer Aided Design and Analysis, PHI Learning Pvt. Ltd. 13 S.N.Tiwari, Cast Iron Technology Vol-1, CBS Publishers & Distributors.

7 GANPAT UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY Programme Master of Technology Branch/Spec. Mechanical Engineering/ AMS Semester II Version Effective from Academic Year Effective for the batch Admitted in July 2016 Subject code 3ME2 Subject Name Precision & Quality Engineering Teaching scheme Examination scheme (Marks) (Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total L TU P TW Credit Theory Hours Practical Pre-requisites: Learning Outcome: After learning this course, the student would be able to: Understand precision machining, super finishing processes, use of tolerances and fits. Calculation of machining allowances, surface roughness. Understand the concept of Quality control, Reliability, Design of Experiment & Quality standard Theory syllabus Unit Content Hrs 1 PRECISION ENGINEERING: 16 Introduction to Ultra precision machining, Precision machining technology, super finishing process, Tolerances and fits, concept of selective assembly, calculation of fits in selective assembly, Concept of part and machine tool accuracy, alignment testing of machine tools, Theory of dimensional chains, Calculation of tolerances in dimensional chains, Statistical methods of accuracy analysis, Surface roughness: Definition and measurement, surface roughness indicators (CLA, RMS etc) and their comparison, Calculation of machining allowances: In process dimensioning of work pieces with examples. Manufacturing methods of typical machine tool components: Spindles, lead screws, beds, rolling, Sliding machine element, Nano-precision mechanical manufacturing, MEMS (micro- electro-mechanical system). 2 QUALITY CONTROL: Introduction to quality control and the quality system, Some philosophies and their impact on quality, Cost of quality, Quality audit. 3 STATISTICAL CONCEPTS AND DATA ANALYSIS: Fundamentals of statistical concepts and techniques in quality control and improvement, Data analysis and sampling, Process capability analysis. 4 RELIABILITY: 08 Failure rate analysis, mean failure rate, mean time to failure, mean time between failure, Graphical representation of Fd, Z and R. Generalization in graphical form, integral form, Hazard models, systems reliability, availability, maintenance, overall equipment effectiveness, Total Productive Maintenance (TPM), Failure Mode and Effect Analysis (FMEA). 5 EXPERIMENTAL DESIGN: Quality loss function, Taguchi method, Design of experiments using orthogonal array, Data 06

8 analysis from Taguchi and Multi level factor design, Response surface method. 6 NEW QUALITY CONCEPTS AND INITIATIVES: Total Quality Management (TQM) and its techniques, New Seven Management Tools, and Industrial Case studies on Costs of Quality, Five S, kaizen, Quality Circles, Quality Function Deployment (QFD), Total Productive Maintenance (TPM), Lean Manufacturing, Six Sigma, JIT, Concurrent engineering, Supply chain management, etc. 7 QUALITY STANDARDS AND BUSINESS EXCELLENCE MODELS: Quality System Standards, ISO 9000, ISO 14000, various Quality Awards and case studies. Practical content 10 Text Books 1 V. C. Venkatesh, Precision Engineering, Tata McGraw Hill, Amitra Amitava, Fundamentals of Quality Control and Improvement, 2nd Edition, Prentice Hall of India, Reference Books 1 Murty, R. L., Precision Engineering, New Age Publications, A.V. Feizenbaum, Total Quality Control, McGraw Hill, D.C. Montogomery, Design and Analysis of Experiments, John Wiley & Sons, Kanishka Bedi, Quality Management, Oxford University Press, New Delhi, Greg Brue and Rod Howes, Six Sigma Tata McGraw Hill, New Delhi, Thomus Pyzde, Quality Engineering Hand Book 2 nd Edition Tata McGraw Hill, 2002.

9 GANPAT UNIVERSITY FACULTY OF ENGINEERING & TECHNOLOGY Programme Master of Technology Branch/Spec. Mechanical Engineering/ AMS Semester II Version Effective from Academic Year Effective for the batch Admitted in July 2016 Subject code 3ME114 Subject Name Robotics And Artificial Intelligence Teaching scheme Examination scheme (Marks) (Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total L TU P TW Credit Theory Hours Practical Pre-requisites: Learning Outcome: After learning this course, the student would be able to: Importance of robotics in today and future goods production. Basic knowledge of widely used manipulator, robot, end effectors and their applications. Understand and work with practical problems of three dimensional kinematics and dynamics. Using Artificial Techniques such as, for example, artificial evolution or artificial neural network and fuzzy logic create specific hardware and software that receive a simple form of artificial intelligence. Theory syllabus Unit Content Hrs 1 INTRODUCTION: Brief history, robot technology, classification, and characteristics, physical configuration, structure of industrial robot 2 ROBOT END EFFECTORS: Introduction of end-effecter. Types of end effecter: mechanical, electrical, pneumatic, electromagnetic etc. Mechanism used for grippers ROBOT KINEMATICS: Position, orientation, different types of rotation matrix, homogeneous rotation, Link description, forward kinematics: DH parameters, forward kinematics equation, Frames with standard names, work volume, singularity, redundancy, Inverse kinematics equation. Algebraic v/s Geometric solution, repeatability and accuracy, Velocity vectors, velocity propagation from link to link, Jacobeans: velocity & statics forces, trajectory planning 4 ROBOT DYNAMICS: Acceleration of rigid body, mass distribution, Newton s equation, Euler s equation, state space equation, configuration space equation, Lagrangian formulation of manipulator dynamics, Formulation of manipulator dynamics in Cartesian space. 5 INTRODUCTION OF AI: Concepts and definition of AI, AI Problems, The Underlying assumption, AI technique, AI characteristics, AI versus Natural Intelligence, Applications of AI, Etc. 6 HEURISTIC SEARCH TECHNIQUES: Introduction of heuristic, Heuristic Function, Importance of Heuristic Function, Examples, Search Techniques: Generate and Test, Hill Climbing, Best-First Search, Depth first search, Problem reduction, Constraint Satisfaction, Means-Ends Analysis

10 7 STRUCTURED REPRESENTATION APPROACHES: Semantic Networks, Frames, Conceptual Dependency, Scripts, etc. 8 NEURAL NETWORK FUGGY LOGIC, APPLICATION OF AI IN MANUFACTURING: Use of software in AI 06 Practical content The term work shall be based on experimental and analytical work on the topics mentioned above and will be defended by the candidates. Text Books 1 2 Reference Books 1 John J. Craig, Introduction to Robotics: Mechanics and Control, 3 rd edition Pearson, R. K. Mittal, I. J. Nagrath, Robotics and Control, Tata McGraw-Hill Education, Robert J. Schilling, Fundamentals of Robotics Analysis & Control, PHI, Mikell P. Groover, Mitchell Weiss, Industrial Robotics (Technology, Programming and Applications), 2nd Edition, McGraw-Hill Education, Mohsen Shahinpoor, A Robot Engineering Textbook, Longman Higher Education, Elaine Rich, Kevin Knight, Artificial Intelligence, 2nd, Tata McGraw-Hill, Laxmidhar Behera, Indrani Kar, Intelligent Systems and Control: Principles and Applications McGraw- Hill Higher Education, Nils J. Nilsson, Principles of Artificial Intelligence (Symbolic Computation/Artificial Intelligence), 1st Edition, Springer, 1982.

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