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KLS Gogte Institute of Technology Department of Mechanical Engineering “Jnana Ganga”, Udyambag, Belagavi - 590008 Karnataka, India Scheme of Teaching for M.Tech. in Computer Integrated Manufacturing For the Academic year 2016-17 Curriculum frame work Distribution of credits Semester Credits 1 25 2 25 3 26 4 18 Total 94 S.No. Subject Area Credits 1 Professional Core ( Theory & Practical's) PC 36 2 Professional Elective PE 16 3 Lab PC 4 4 Seminar PC 2 5 Internship SS 10 6 Project PR 22 7 Term Assignment 4 Total 94
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Page 1: KLS Gogte Institute of Technology Department of Mechanical ...

KLS Gogte Institute of Technology Department of Mechanical Engineering “Jnana Ganga”, Udyambag, Belagavi - 590008 Karnataka, India

Scheme of Teaching for

M.Tech.

in

Computer Integrated Manufacturing

For the Academic year 2016-17

Curriculum frame work Distribution of credits

Semester Credits

1 25

2 25

3 26

4 18

Total 94

S.No. Subject Area Credits

1 Professional Core ( Theory & Practical's) PC 36

2 Professional Elective PE 16

3 Lab PC 4

4 Seminar PC 2

5 Internship SS 10

6 Project PR 22

7 Term Assignment 4

Total 94

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Lecture (L): One Hour /week – 1 credit Practical (P): Three hours /week – 2 credits

First Semester

S.No. Code Course Credits Total

credits Contact

Hours/week Marks

L – T - P CIE SEE TOTAL

1. 16CIM11 Computer Control of Manufacturing

Systems PC 4 – 0 - 0 4 4

50 50 100

2. 16CIM12 Rapid Prototyping and Tooling PC 4 – 0 - 0 4 4 50 50 100

3. 16CIM13 Design for Manufacture PC 4 – 0 - 0 4 4 50 50 100

4. 16CIM14 Automation in Manufacturing Systems PC 4 – 0 - 0 4 4 50 50 100

5. 16CIM15X Elective- A PE 4 – 0 - 0 4 4 50 50 100

6. 16CIM16 CNC and Robot programming Lab PC 0 – 0 - 2 2 3 25 25 50

7. 16CIM17 Seminar-1 PC 0 – 0 - 1 1 25 25

8. 16PTA18 Term Assignment-1 Mandatory 0 – 0 - 2 2 4 25 25

Total 25 27 325 275 600

* SEE: SEE (Theory exam) will be conducted for 100 marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA Term Assignment: The performance is continuously evaluated by the faculty member and Grade is given.

ELECTIVE- A

16CIM151 Computer Aided Design 16CIM153 Finite Element Method

16CIM152 Management Information System 16CIM154 Mechatronics System Design

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Second Semester

S.No. Code Course Credits Total

credits Contact

Hours/week Marks

L – T - P CIE SEE TOTAL

1. 16CIM21 Advanced Foundry Technology PC 4 – 0 - 0 4 4 50 50 100

2. 16CIM22 Industrial Robotics PC 4 – 0 - 0 4 4 50 50 100

3. 16CIM23 Non Traditional Machining PC 4 – 0 - 0 4 4 50 50 100

4. 16CIM24 Flexible Manufacturing Systems PC 4 – 0 - 0 4 4 50 50 100

5. 16CIM25X Elective- B PE 4 – 0 - 0 4 4 50 50 100

6. 16CIM26 Rapid Prototyping and Casting Analysis Lab

PC 0 – 0 - 2 2 3 25 25 50

7. 16CIM27 Seminar-2 PC 0 – 0 - 1 1 25 25

8. 16PTA28 Term Assignment-2 Mandatory 0 – 0 - 2 2 4 25 25

Total 25 27 325 275 600 * SEE: SEE (Theory exam) will be conducted for 100 marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA Term Assignment: The performance is continuously evaluated by the faculty member and Grade is given.

ELECTIVE- B

16CIM251 Advanced Tool Engineering Design 16CIM253 Artificial Intelligence and Expert Systems

16CIM252 Non Destructive Testing 16CIM254 Advanced Control Engineering

Page 4: KLS Gogte Institute of Technology Department of Mechanical ...

Third Semester

S.No. Code Course Credits Total

credits Contact

Hours/week Marks

L – T - P CIE SEE TOTAL

1. 16CIM31 Design of Experiments PC 4 – 0 - 0 4 4 50 50 100

2. 16CIM32X Elective- C PE 4 – 0 - 0 4 4 50 50 100

3. 16CIM33X Elective- D PE 4 – 0 - 0 4 4 50 50 100

4. 16CIM34 #Internship SS 10 50 50 100

5. 16CIM35 *Project Phase-1 PR 4 25 25

Total 26 12 225 200 425

* SEE: SEE (Theory exam) will be conducted for 100marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA

# Internship report and presentation to be submitted at the end of semester * Selection of topic and Literature Review

ELECTIVE- C

16CIM321 Advanced Materials Technology 16CIM323 Micro Electro Mechanical Systems

16CIM322 Reverse Engineering 16CIM324 Concurrent Engineering

ELECTIVE- D

16CIM331 Integrated Production Control Systems 16CIM333 Agile Manufacturing

16CIM332 Product Life Cycle Management 16CIM334 Industrial Tribology

Fourth Semester

S.No. Code Course Credits Total

credits Contact

Hours/week Marks

L – T - P CIE SEE TOTAL

1. 16CIM41 Project Phase -2 PR 4 25 25

2. 16CIM42 Project Phase -3 PR 4 25 25

3. 16CIM43 Viva-voce PR 10 100 100

Total 18 24 50 100 150

Page 5: KLS Gogte Institute of Technology Department of Mechanical ...

First Semester COMPUTER CONTROL OF MANUFACTURING SYSTEMS

Course Code 16CIM11 Credits 4

Course type PC CIE Marks 50 marks

Hours/week: L-T-P 4 – 0 – 0 SEE Marks 50 marks

Total Hours: 50 SEE Duration 3 Hours

Course learning objectives:

1. To impart the basic concepts in manufacturing systems and fundamentals of CIMS. 2. Enhancement of knowledge in the use of computers for control and planning in the field of

manufacturing, machining centers, tooling and programming of CNC machines 3. To enhance student’s awareness in Inspection principles and methods. Pre-requisites: Basic knowledge of CNC, computers in manufacturing etc. Detailed Syllabus: Unit I 10 Hours Introduction to Computer integrated Manufacturing Systems: Manufacturing Systems, Types of Manufacturing Systems, , Machine Tools and related equipment’s, Material Handling Systems, Computer monitoring and control, Manufacturing support systems, Functions of computers in CIMS: CIMS Data Files, System Reports, Benefits of Computer integrated Manufacturing Systems. Self Learning Topics: The Product Cycle and CAD/ CAM Unit II 10 Hours CNC Machine Tools: General architecture of CNC Machine, Components of the CNC Systems, Types of CNC, Functions of CNC Control in Machine Tools, Direct Numerical Control (DNC Systems): Configuration of DNC system, Functions of DNC, Communication between DNC computer & MCU, Adaptive control machining systems. Adaptive control optimization system, adaptive control constraint system, applications to machining processes. Self Learning Topics: Advantages of CNC, Advantages of DNC, Benefits of Adaptive control machining Unit III 10 Hours CNC part programming: Introduction, CNC programming methods: Manual part programming for turning and milling centers, G codes, M codes, canned cycles, Programming with CAD/CAM integration, Practical Exercises on CNC part programming for generating toolpath for contour, holes, pockets, subroutine programming, facing, step and multiple turning. Unit IV 10 Hours Group technology: Introduction, Part classification and coding, Methods of Grouping part families, Opitz system, Problems in GT. Computerized Manufacturing Planning and Control Systems: Computer aided process planning, Variant and Generative approaches, Computer integrated production planning and control systems. Self Learning Topics: MICLASS system, Benefits of GT.

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Unit V 10 Hours Inspection Principles and Practices: Inspection fundamentals, Sampling vs. 100% inspection, Automated Inspection, Off-line and On-line inspection, Product Inspection vs. Process Monitoring. Computer Aided Quality Control: Introduction, Terminology in quality control, The computers in quality control, Contact Inspection methods, Coordinate Measuring Machines: construction and operation, Non contact inspection methods: Optical and Non-Optical. Self Learning Topics: Distributed Inspection vs. Final Inspection, Computer Aided testing.

Text Books: 1. Groover M P, Automation, Production Systems and Computer Integrated Manufacturing, Prentice

Hall India (P) Ltd, 1989. 2. Mikell P. Groover and Emory W. Zimmer, Jr., CAD/CAM Computer Aided Design and Manufacturing,

Prentice Hall India (P) Ltd, 1992. 3. M.Koren ―Computer Controls of Manufacturing Systems, McGraw Hill, 1983

Reference Books: 1. P. Radhakrishna, CAD/CAM/CIM, New Age International, 2008 2. P.N. Rao – CAD/CAM Principles and Applications, McGraw hill 2002. 3. B.S. Pabla, CNC Machines, New Age International, 2005. 4. Y. Koren & J.Benuri -“Numerical control of machine tools, Khanna, 1992. 5. Suk-Hwan Suh, Seong-Kyoon Kang, Dea-Hyuk Chung and Ian Stroud, Theory and Design of CNC

Systems, Springer, 2008. Course Outcome (COs):

Students will get

1. Understand the NC/CNC machines, elements of CNC machines and its uses [L2]. 2. Knowledge of CNC programming and its implementation [L3]. 3. Insight into the inspection and QC methods [L2].

Program Outcomes(POs) of the course: 1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective [PO1] 2. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for

engineering problems considering societal and environmental requirements [PO3] 3. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex

engineering solutions [PO5]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two

tests out of three Average of two

assignments/ activity Seminar/ Mini

Project Total Marks

Maximum Marks 30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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First Semester RAPID PROTOTYPING & TOOLING

Subject Code: 16CIM12 Credits: 4

Course Type: PC CIE Marks: 50

Hours/week: L – T – P 4-0-0 SEE Marks: 50

Total Hours: 50 SEE Duration: 3 Hours

Course learning objectives:

1. The course enables students to conceive, design, and implement products quickly and

effectively, using the latest rapid prototyping methods and CAD/CAM technology.

2. The students learn to differentiate various process parameters associated with Rapid

Manufacturing technique

3. Students will learn about the applications of RP in various industries like automotive,

aerospace, jewelry, coin, medical and dental applications.

Pre-requisites: Manufacturing Process 1 (Foundry Technology), CAD / CAM basics

Detailed Syllabus:

UNIT –I 10 Hours

Introduction: Prototype fundamentals, historical development, fundamentals of RP, commonly used

terms, classification of RP systems.

RP Processes: Processes involving liquid, Stereo Lithography, liquid thermal polymerization, etc.,

Processes Involving Discrete Particles, Processes Involving Solid Sheets.

UNIT –II 10 Hours

Technical Characteristics and Technological Capabilities of Rapid Prototyping Systems: Stereo

Lithography Apparatus (3D Systems), Solid Ground Curing systems (Cubital Ltd.), Fused Deposition

Modelling Systems, Selective Laser Sintering Systems, Laminated Object Manufacturing Systems

Technical Characteristics and Technological Capabilities of Concept Modelers: 3D Systems Thermo-

Jet Printer, Sanders Model Maker II (Inkjet Modeling Technology), Z- Corporation Z402 3D Printer,

Stratasys Genisys Xs 3D Printer, JP System 5, Object Quadra System.

UNIT –III 10 Hours

Rapid Prototyping Data Formats: STL format, STL file problems, Consequences of building valid and

invalid Tessellated Models, STL file repair, newly proposed formats

Rapid Prototyping Process Optimization: Factors influencing accuracy, data preparation, part building,

part finishing and selection of part build orientation

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UNIT –IV 10 Hours

Indirect Methods for Rapid Tool Production: Role of indirect methods in tool production, metal

deposition tools, RTV tools, Epoxy tools, Ceramic tools, Cast metal tools, Investment casing, Fusible

metallic core, Sand casting

Self-Learning Topics:

Direct Methods for Rapid Tool Production: Classification of direct tool methods, Direct ACES Injection

Molds, Laminated Object Manufactured (LOM) tools, DTM Rapid tool process, Sand form, EOS Direct

Tool.

UNIT –V 10 Hours

Applications of Rapid Prototyping Technology: Functional Models, Pattern for Investment and

Vacuum Casting

Self-Learning Topics: Medical Models, Art Models, Engineering Analysis Models

Text Books:

1. Chua C.K., K.F.Leong, Lim C.S., Rapid Prototyping: Principles and Applications, World Scientific, 3rd

Ed, 2010.

2. Pham D.T., Dimov S.S., Rapid Manufacturing: The Technologies and Applications of Rapid

Prototyping and Rapid Tooling, Springer-Verlog London, 2001

Reference Books:

1. Paul F. Jacobs, Stereo Lithography and other RP & M Technologies, SME NY, 1996 Course Outcomes (CO's): On completion of the course the student will be able to : 1. Understand fundamentals of Rapid Prototyping and be able to compare it with other

approaches. [L2, L4]

2. Understand various types of Rapid Prototyping and RP machines[L2]

3. Understand Rapid Tooling and RP Formats[L2]

4. Understand the various applications of RP technology [L2]

Program Outcomes(POs) of the course:

Usage of modern tools: Graduates shall be able to adopt modern techniques, analytical tools and software for complex engineering solutions. [PO-5] Communication: Graduates shall possess communication skills to comprehend, document and present effectively to the engineering community and society at large. [PO-8] Life-long Learning :Graduates shall engage in lifelong learning with motivation and commitment for professional advancement. [PO-9]

Ethical Practices and Social Responsibility: Graduates shall imbibe the professional ethics and integrity for sustainable development of society. [PO-10]

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Independent and Reflective Learning: Graduate shall be able to introspect and apply corrections. [PO-11] Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks 30 10 10 50

Scheme of Semester End Examination (SEE): 1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the

calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining

Page 10: KLS Gogte Institute of Technology Department of Mechanical ...

First Semester DESIGN FOR MANUFACTURE

Subject Code 16CIM13 Credits 4

Course Type PC CIE Marks 50

Hours/Weak: L-T-P 4-0-0 SEE Marks 50

Total Hours 50 SEE Duration 3Hours

Course learning Objectives (CLO’s):

1. To educate students a clear understanding of factors to be considered in designing parts and

components with focus on manufacturability. 2. To enable the student to fully understand the importance of manufacturing principles in

designing parts of a component. 3. To teach the students how to use the theoretical principles of manufacturing and assembly in

designing parts of a components. 4. To teach the students the importance of material selection, tolerances, datum in the design

of components. 5. To introduce students the concepts of parting line, cored holes and machined holes in

manufacturing.

Pre-requisites: Basic Knowledge of Manufacturing and design stream.

Detailed Syllabus:

UNIT-I 10 Hours Effect of Materials and Manufacturing Process On Design: Major phases of design. Effect of material

properties on design Effect of manufacturing processes on design. Material selection process- cost per unit property, weighted properties and limits on properties methods.

Engineering Design and Datum features: Dimensioning, Tolerances, General Tolerance, Geometric

Tolerances, Assembly limits, achieving larger machining tolerances. Screw threads, Ground surfaces,

holes. Examples Functional datum, machining sequence, manufacturing datum, changing the datum.

Examples.

UNIT-II 10 Hours Component design: Machining Considerations Drills, Milling cutters, Drilling, Keyways, Dowels,

Screws, Reduction in machining areas, Simplification by separation and amalgamation, work piece

holding, surface grinding, Examples

Component design: Casting Considerations Pattern, Mould, parting line, cast holes, machined holes, identifying parting line, special sand cores, designing to obviate sand cores. Examples UNIT-III 10 Hours Geometric Tolerance and Analysis: Process capability ,mean, variances, skewness, kurtosis, process

capability metrics, Cp ,Ck Cost aspects, Feature tolerance. Examples.

Design of Gauges: Design of gauges for checking components in assemble with emphasis on various types of limit gauges for both holes and shaft

Self-Learning Topics: Tolerance – Symbols three datum concept of dimensioning, Straightness, concentricity, Run-out, Location Tolerance, Assembly of parts having concentric cylinders, Control of

Page 11: KLS Gogte Institute of Technology Department of Mechanical ...

feature location by true position, Body of revolution, Roundness, Profile dimensioning, Tapers, Shaft of two diameters. UNIT-IV 10 Hours

Design for Injection molding and Sheet metal working : Design guidelines, Introduction to sheet metalworking, Dedicated Dies and Press working, Press selections, Design Rules.

Self-Learning Topics: Injection molding materials, Molding cycle, Systems, molds, machine size, cycle time, Cost estimation, Insert molding.

UNIT-V 10 Hours Design for Die casting and Powder metal processing: Die casting alloys, cycle, machines, dies, finishing,

Assembly techniques, Design principles.

Self-Learning Topics: Powder metallurgy processing, stages, compaction characteristics, Tooling, Sintering, Design guidelines.

Text Books:

1. H. Peck, Designing for Manufacturing, Pitman Publications,1983.

2. Dieter, Machine Design, McGraw-Hill Higher Education, 2008

3. R. K. Jain, Engineering Metrology, Khanna Publishers,1986

4. W.Knight, M.Dekker, Product design for manufacture and assembly, Inc.CRCPress, Third Edition.

5. Material selection and Design, Vol. 20, ASM Handbook.

Course Outcomes(CO’s): At the end of the course, the student will be able to:

1. Include manufacturability in mechanical engineering design of parts and their assemblies [L3].

2. Understand the importance of manufacturing principles in designing a particular product and incorporating the same in its design[L2].

3. Identify a parting line in the design of casting[L3].

4. Design the components by considering all machining operations[L4].

5. Design gauges by giving emphasis on various types of limit gauges[L4].

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge and update the same, integrating existing and

updated knowledge in global perspective. [PO1]

2. Graduates shall possess ability for independent judgment based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO2]

3. Graduates shall conceptualize through lateral thinking and obtain feasible and optimal solutions

for engineering problems considering societal and environmental requirements. [PO3]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

Page 12: KLS Gogte Institute of Technology Department of Mechanical ...

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests

out of three Average of two

assignments/ activity Seminar/

Mini Project Total

Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

Page 13: KLS Gogte Institute of Technology Department of Mechanical ...

First Semester AUTOMATION IN MANUFACTURING SYSTEMS

Subject Code 16CIM14 Credits 4

Course Type PC CIE Marks 50 marks

Hours/Week: L-T-P 4-0-0 SEE Marks 50 marks

Total Hours 50 SEE Duration 3 Hours

Course Learning Objectives (CLO's):

1. To impart the basic concepts in manufacturing systems and fundamentals of Automation.

2. Students will get an exposure to various aspects of automation in manufacturing, modeling

techniques, drives and controls used in manufacturing applications.

3. Enhancement of knowledge in use of PLC and its applications.

4. Understand the concepts features & parameters governing the Hydraulic and Pneumatic

circuits and their applications.

Prerequisite: Basic knowledge of manufacturing processes and types of manufacturing systems. Detailed Syllabus: UNIT –I 10 Hours

Fundamentals of Manufacturing: Production System Facilities, Different types of manufacturing systems,

Automation in production systems, Automation Principles & Strategies, Manufacturing Operations,

Product, Production Relationship.

Mathematical Concepts & Models: Production Concepts & Mathematical Models, Costs of

Manufacturing Operations, Numerical.

UNIT –II 10 Hours

Introduction to Automation: Basic elements of Automated system, Advanced Automation Functions,

Levels of Automation.

Hardware components for Automation and Process Control

Manufacturing Support System: Concurrent Engineering & Design for Manufacturing, Advanced

Manufacturing Planning, Just-in Time Production System, Basic concepts of Lean and Agile

manufacturing.

Self learning topics: Sensors, Actuators, Analog-to- Digital converters, Digital-to-Analog converters, Input

/ Output devices for discrete data.

Page 14: KLS Gogte Institute of Technology Department of Mechanical ...

UNIT –III 10 Hours

Detroit type of Automation: Flow lines, Configurations of automated flow line, Work pattern

transfer, Different methods, Different Transfer mechanisms, Numerical, Control functions, Buffer storage.

The Future Automated Factory: Introduction, Trends in manufacturing, The Future Automated Factory: The

Information System in the Automated Factory, Processing and Assembly, Material handling, Inspection

systems, Social Impact of Automation of Factories.

UNIT –IV 10 Hours

Programmable Logic Controllers: Introduction, Hardware, Internal Architecture, Input and Output devices,

Ladder diagrams, Logic functions, Function blocks, PLC processors, PLC instructors, Documenting a PLC system,

Timers & Counters , Comparison & Data Handling instructions, Sequencing instructions, Mask Data

representation, Simple programs.

UNIT –V 10 Hours

Power Hydraulics & Pneumatics: Concepts features & parameters governing the selection of various

components necessary for building the elements, Circuit Design & Analysis.

Self learning topics: Industrial applications of fluid power & pneumatic systems, Electro-Hydraulic Servo

system, Fluid logic control, MPL, Fluidics logic control.

Text Books:

1. Viswanandham, Performance Modeling of automated Manufacturing Systems, PHI. 14

2. Goodwin, Fluid Power System, McGraw Hill Press Limited, 1976.

3. Web , Principles & Applications, PLC McMillan 1992.

4. W. Bolton , Programmable Logic Controllers, Elsevier, Fourth edition,2006

Reference Books:

1. Vajpayee, Principles of CIM, PHI.

2. Mikell P. Grover, Automation Production Systems & CIM, Pearson Education Asia, Third edition, 2008.

3. Anthony Esposito, Fluid Power with Applications, Prentice Hall, 1997.

Course Outcomes (CO's):

On completion of the course the student will be able to: 1. Obtain an understanding of the fundamentals of automation in manufacturing. [L2]

2. Will be able to demonstrate knowledge of their understanding of drives, controls and modeling in

automation.[L3]

3. Clear understanding of PLCs circuits and their applications.[L2]

4. Design and Analyze the hydraulic and pneumatic circuits.[L4,L6]

5. Clear understanding of applications of hydraulic and pneumatic circuits.[L2] Program Outcomes (POs) of the course: PO-1: [Scholarship of Knowledge] Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing and updated knowledge in global perspective.

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PO-4: [Research Skill] Graduates shall review relevant literature, apply appropriate research methodologies, working individually or as a team contributing to the advancement of domain knowledge. PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions.

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two

tests out of three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units

Page 16: KLS Gogte Institute of Technology Department of Mechanical ...

First Semester COMPUTER AIDED DESIGN

Course Code 16CIM151 Credits 4

Course type PE CIE Marks 50 marks

Hours/week: L-T-P 4-0-0 SEE Marks 50 marks

Total Hours: 50 SEE Duration 3 Hours

Course learning objectives:

1. To impart the basic Fundamentals of CAD, The Design Process, Computers Applications in Design, Knowledge

enhancement in areas like computer graphics, database structure and software configuration in CAD systems

2. Understand the engineering design process and its role in graphic communication process.

3. To understand the process of transformations during geometrical modeling.

4. Generate and interpret engineering technical drawings of parts and assemblies according to engineering

design standards.

Pre-requisites: Knowledge of Computer Aided Engineering Drawing, Computer Aided Machine Drawing and Matrices.

Detailed Syllabus: Unit I 10 Hours Introduction to CAD: Graphics standard, functional areas of CAD, Modeling and viewing, software documentation, The

Design Process, Computers Applications in Design, Manufacturing Database, Benefits of CAD.

Computer graphics software and database: Software configuration of a Graphic system, Functions of a Graphics

package, Constructing the Geometry, Database Structure and Content.

Self Learning Topics: Definition of CAD, CAD Tools, Types of system, CAD/CAM system evaluation criteria, Brief

treatment of input and output devices, Wire-Frame Features & CAD/CAM Integration.

Unit II 10 Hours Geometric Modeling: Requirements of Geometric Modeling, Geometric Models, Geometric Construction Methods,

Constraint- Based Modeling, Other Modeling Methods- Cell Decomposition, Variant Method, Symbolic Programming,

form Features. Wireframe Modeling- Definitions of Point lines, Circles, Arcs, etc., Wireframe Data Representation.

Graphic Standards: Standardization in Graphics, Graphical Kernel System (GKS), Other Graphic Standards-GKS 3D,

PHIGS, NAPLPS, Exchange of Modeling Data-IGES, STEP, Drawing Exchange Format (DXF), Dimension Measurement

Interface Specification (DMIS).

Self Learning Topics: Graphics Standards

Unit III 08 Hours Transformations: Translation, Scaling, Reflection or Mirror, Rotation, Concatenations, Homogeneous Transformation,

3D Transformations-Translation, Scaling, Rotation about, X, Y and Z axes. Mathematics of Projections- Orthographic and

Isometric Projections.

Self Learning Topics: Clipping, Hidden Line or Surface removal, Color and Shading.

Unit IV 12 Hours Modeling curves & surfaces: Curve Representation-Line, Circle, Parabola, Hyperbola, Curve Fitting- Interpolation

Techniques-Lagrangian Polynomial, B-Splines, Approximate Methods- Method of Least Squares, Polynomial Curve

Page 17: KLS Gogte Institute of Technology Department of Mechanical ...

Fitting, Synthetic Curves-Hermite Cubic Spline, Bermestine Polynomials, Bezier Curve, Rational Curves, NURBS.

Surface representation: Methods-Analytic Surfaces, Surfaces of Revolution, Ruled Surfaces, Synthetic Surfaces- Hermite

Cubic Surface, Bezier Surface, B-Spline Surface, Coons Surface Patch, Tabulated Cylinder, Sculptured Surfaces, Surfaces

of Manipulation-Surface Display, Segmentation.

Unit V 10 Hours Modeling of solids: Solid Representation- Concepts, Boundary Representations (B-Rep), Constructive Solid Geometry

(CSG), Half Space Method.

Mechanical assembly: Introduction, Assembly Modeling, Parts Modeling and Representation, Hierarchical

Relationships, Mating Conditions, Inference of Position from Mating Conditions, Representation Schemes, Graph

Structure, Location Graph, Virtual Link, Generation of Assembling Sequences, Precedence Diagram, Liaison-Sequence

Analysis, Precedence Graph, Assembly Analysis.

Books: Text Books

1. P.N. Rao, CAD/CAM Principles and Applications, McGraw Hill, Education Pvt. Ltd., New Delhi, 3rd Ed, 2012

2. Ibrahim Zeid & R. Shivasubramanian, CAD/CAM Theory & Practice, TMH Education Pvt. Ltd., New Delhi, 2nd

Ed, 2009

Reference Books

1. M.P. Groover and E W Zimmers, CAD/CAM Computer aided Design and Manufacture, Prentice hall, 1984

2. C.B. Besant and E.W.K. Lui, Computer Aided design and Manufacture, Affiliated East West, press India,

1988

3. David F. Rogers and J Alan Adams, Mathematical Elements for Computer Graphics, McGraw-Hill

Science/Engineering/Math, 2 edition, 1989

Course Outcome (COs): At the end of the course, students will be able to

1. Explain the complete design process. [L2]

2. Understand the geometric modeling, Construction of various geometries. [L2]

3. Apply methods of utilization of appropriate features in CAD application enhancing productivity in design. [L3]

4. Construct CAD models related to mechanical assembly leading to minimum lead time. [L3] Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in CAD and update the same, integrating existing and updated

knowledge in global perspective. [PO1] 2. Graduates shall possess ability for independent judgement based on critical analysis and also for synthesis of

information for extensive research in the area of specialization. [PO2] 3. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for engineering

problems considering societal and environmental requirements. [PO3]

4. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering

solutions. [PO5]

5. Graduate shall be able to introspect and apply corrections. [PO11]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

Page 18: KLS Gogte Institute of Technology Department of Mechanical ...

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE

question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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First Semester

MANAGEMENT INFORMATION SYSTEM

Subject Code: 16CIM152 Credits: 4

Course Type: PE CIE Marks: 50

Hours/week: L – T – P 4 SEE Marks: 100

Total Hours: 50 SEE Duration: 3 Hours

Course Learning Objectives (CLOs): 1. Introduce various aspects of MIS as applied to engineering problems in a systematic manner. 2. Impart the knowledge of data base fundamentals. 3. Apply MIS for business applications.

Pre-requisites: Engineering Management, Database, Information System

Detailed Syllabus:

UNIT –I 10 Hours

Introduction: MIS: Definition, Importance of MIS, Evolution of MIS, Computers and MIS, Organizational Structure, Logical Foundations of MIS, Typical MIS Systems, and Future of MIS. Information Systems and Organizations: Structure, Data and Information, Management and Decision Making, Classification of MIS, Information support for functional areas of Management, Impact of business on Information Systems, Absorption of MIS in Organizations.

UNIT –II 10 Hours

Database Technology: Introduction, Database and Enterprise Management, File Processing Systems and Database Systems, Data Independence, Database Approach, Database Architecture. Relational Database Management Systems (RDBMS): DBMS: Introduction, Structured Query Language (SQL), Data Administration, Current Developments in Databases.

UNIT –III 10 Hours

Decision Support Systems: Introduction, Definition, Evolution of DSS, Characteristics, Model Management, DSS Generators, Multi-criteria Modelling, Using DSS; What-if analysis, Sensitivity Analysis, Goal-seeking Analysis, Data Mining. Expert Systems and Artificial Intelligence: Introduction, AI - Definition, Evolution of AI, Components of AI, Expert Systems, Benefits and Limitations, Applications.

UNIT –IV 10 Hours

Systems Analysis and Design: Introduction, Organizational Context of Systems Analysis, Role of Systems Analyst, Systems Development Life Cycle (SDLC), Requirement Analysis, Requirement Specifications, Feasibility Analysis, Feasibility Report, Case Studies. Self-Learning Topic: Development, Implementation and Management of MIS Resources: Developing and Implementing Application Systems, Quality Assurance and Evaluation of Information Systems.

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UNIT –V 10 Hours Organization and Management: Organization and Management of the Information Resources, Change from MIS to IRM (Information Resource), Organization of the Information Resources Function, Allocating Scarce Information Resources, MIS Personnel. Self-Learning Topic: Developing a Long-Range Information System Plan: Master Plan, The Nolan Stage Model, Strategic Planning Stage, Analysis of Organizational Information Requirement.

Text Books:

1. W.S Jawadekar , Management Information systems, TMH, 4th

Ed, 2002.

2. Davis G.B., Management Information Systems-Conceptual foundations, Structure and development, McGraw Hill Intl. Book Co., 6th Ed, 2001.

Reference Books: 1. S.Sadagopan, Management Information Systems, PHI, 2005. 2. James A O’Brien, George M.Markas, Ramesh Behl, Management Information Systems,

Tata McGraw Hill, 9th Ed, 2008.

Course Outcomes (COs): At the end of this course, the students will be able to :

1. Understand fundamentals of MIS and be able to compare it with other approaches. [L2, L4] 2. Identify and discuss the fundamentals of data base management as applied to respective tasks. [L2] 3. Demonstrate the ability to define and state the properties and characteristics of data base management

by any engineer. [L1, L3]

Program Outcomes(POs) of the course: Usage of modern tools: Graduates shall be able to adopt modern techniques, analytical tools and software for complex engineering solutions. [PO-5] Communication: Graduates shall possess communication skills to comprehend, document and present effectively to the engineering community and society at large. [PO-8] Life-long Learning : Graduates shall engage in lifelong learning with motivation and commitment for professional advancement. [PO-9] Ethical Practices and Social Responsibility: Graduates shall imbibe the professional ethics and integrity for sustainable development of society. [PO-10] Independent and Reflective Learning: Graduate shall be able to introspect and apply corrections. [PO-11] Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of three

Average of two assignments/ activity

Seminar/ Mini Project

Total Marks

Maximum Marks 30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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First Semester FINITE ELEMENT METHOD

Subject Code 16CIM153 Credits 4

Course Type PE CIE Marks 50

Hours/Week: L-T-P 3-0-1 SEE Marks 50

Total Hours 50 SEE Duration 3 Hours

Course Learning Objectives (CLO’s)

1. To present the Finite element method (FEM) as a numerical method for engineering analysis of structures. 2. To acquire the knowledge of Finite elements for the analysis of bars & trusses, beams & frame problems. 3. To acquire the knowledge of Finite elements for the analysis of plane stress and 3-D problems. 4. To acquire the knowledge of finite element to solve statically indeterminate problems in structural mechanics. 5. To acquire the knowledge of Finite element theory and formulation for dynamic analysis of mechanical

structures.

Pre-requisites: Basics of Machine Design and Strength of Materials. Detailed Syllabus: UNIT-I 10 Hours Introduction to Finite Element Method: Basic Steps in Finite Element Method to solve mechanical engineering (Structural and Heat Transfer) problems: Functional approach and Galerkin approach, Displacement Approach: Admissible Functions, Convergence Criteria: Conforming and Non Conforming elements, Co C1 and Cn Continuity Elements. Basic equations, element characteristic equations, assembly procedure, boundary and constraint conditions. Self Learning Topics: Basics of matrix algebra, concepts about energy methods UNIT-II 10 Hours Solid Mechanics: One-Dimensional Finite Element Formulations and Analysis Bars- uniform, varying and stepped cross section- Basic (Linear) and Higher Order Elements Formulations for Axial and Temperature Loads with problems. Beams- Basic (Linear) Element Formulation-for uniform, varying and stepped cross section- for different loading and boundary conditions with problems. Trusses, Plane Frames and Space Frame Basic (Linear) Elements Formulations for different boundary condition -Axial, Bending, and Temperature Loads with problems. UNIT-III 10 Hours Two Dimensional Finite Element Formulations for Solid Mechanics Problems: Triangular Membrane (TRIA 3, TRIA 6, TRIA 10) Element, Four-Noded Quadrilateral Membrane (QUAD 4, QUAD 8) Element Formulations for in-plane loading with sample problems. Triangular and higher order Elements formulation for axi-symmetric loading only with sample problems. Three Dimensional Finite Element Formulations for Solid Mechanics Problems: Finite Element Formulation of Tetrahedral Element (TET 4, TET 10), Hexahedral Element (HEXA 8, HEXA 20), for different loading conditions. UNIT-IV 10 Hours Finite Element Formulations for Structural Mechanics Problems: Introduction, thin and thick plates – Kirchhoff theory, Mindlin plate element, triangular and rectangular plates, introduction to shells.

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UNIT-V 10 Hours Dynamic Analysis: Finite Element Formulation for point/lumped mass and distributed masses system, Finite Element Formulation of one dimensional dynamic analysis: bar, truss, frame and beam element. Evaluation of Eigen values and Eigen vectors applicable to bars, shaft, beams. Self Learning Topics: Fundamentals about eigen values, vectors and mode shapes. Text Books:

1. T. R. Chandrupatla and A. D. Belegundu, Introduction to Finite Elements in Engineering, Prentice Hall, 3rd Edition, 2002.

2. H. V. Lakshminarayana, Finite Elements Analysis– Procedures in Engineering, Universities Press, 2004. Reference Books:

1. S. S. Rao, Finite Elements Method in Engineering- 4th Edition, Elsevier, 2006. 2. P. Seshu, Textbook of Finite Element Analysis, PHI, 2004. 3. K. J. Bathe, Finite Element Procedures, Prentice-Hall, 2006. 4. R. D. Cook, Finite Element Modeling for Stress Analysis, Wiley, 1995.

Course Outcome (CO’s): On completion of the course the student will be able to,

1. Obtain an understanding of the fundamental theory of the FEA method [L3]. 2. Develop the ability to generate the governing FE equations for systems governed by partial differential

equations [L5]. 3. Understand the use of the basic finite elements for structural applications using truss, beam frame, and plane

elements [L2]. 4. Understand the application and use of the FE method for Dynamic Problems [L2].

Program Outcomes (POs) of the course: PO-2: [Critical Thinking] Graduates shall possess ability for independent judgement based on critical analysis and also for synthesis of information for extensive research in the area of specialization. PO-3: [Problem Solving] Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for engineering problems considering societal and environmental requirements. PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions. Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks 30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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First Semester

MECHATRONICS SYSTEM DESIGN

Course Code 16CIM154 Credits 4

Course type PE CIE Marks 50 marks

Hours/week: L-T-P 4-0-0 SEE Marks 50 marks

Total Hours: 50 SEE Duration 3 Hours

Course learning objectives:

1. The course gives exposure to mechatronics system design and knowledge of MEMS and Microsystems

2. To educate the student regarding integration of mechanical, electronic, electrical and computer

systems in the design of CNC machine tools, Robots etc.

Pre-requisites: Should have in-depth knowledge of Sensors, Actuators, Transducers and Control Systems. Detailed Syllabus: Unit I 08 Hours Introduction: Definition and Introduction to Mechatronic Systems, Measurement Systems, Control Systems,

Microprocessor Based Controllers and Applications.

Study of Actuation Systems: Pneumatic and Hydraulic Systems, Mechanical Actuation System, Electrical Actuation Systems

Self Learning Topics: Study of Actuation Systems Unit II 12 Hours Modeling for mechatronics system design: Introduction, System, Hydraulic circuits, hydraulic servo motor dashpots.

Mathematical modeling of thermal systems: Thermal resistance and thermal capacitance mathematical modeling of

thermal systems. Electrical Systems: RLC Circuits, active and passive electrical circuits, PMDC Motor, Stepper motor,

three phase squirrel cage induction motor, three phase permanent magnet synchronous motor, servo-motor.

Self Learning Topics: Mechanical Systems: rotational systems, spring mass damper system. Mathematical modeling of a pneumatic systems, Mathematical modeling of hydraulic systems: Unit III 12 Hours Signal Conditioning: Signal conditioning, the operational amplifier, Protection, Filtering, Wheatstone Bridge, Digital

signals , Multiplexers, Data Acquisition, Introduction to digital system processing, pulse-modulation.

MEMS and Microsystems: Introduction, Working Principle, Materials for MEMS and Microsystems, Micro System

fabrication process, Overview of Micro Manufacturing, Micro system Design, and Micro system Packaging.

Self Learning Topics: Signal conditioning.

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Unit IV 10 Hours Micro System Fabrication Process: Photolithography, Ion Implantation, Diffusion, Oxidation, CVD, PVD, Epitaxy, Etching. Overview of Micro Manufacturing: Bulk Micro Manufacturing, Surface, Micromachining, the LIGA Process. Materials for MEMS and Microsystems: Substrate and wafers, Active substrate material, Silicon, Silicon compound,

Silicon Piezo-resisters, Gallium Arsenide, Quartz, Piezoelectric crystals, Polymers

Unit V 08 Hours Fault Finding: Fault–Detection Techniques, Watch Dog Timer, Parity and Error Coding Checks, Common Hardware

Faults, Microprocessor Systems, Emulation and Simulation, PLC Systems.

Books: Text Books:

1. W. Bolton, Mechatronics, Pearson Edition, 6th Edition, 2015

2. Tai-Ran Hsu, MEMS and Microsystems design and manufacture, Tata McGraw-Hill Education, 2002

3. K. Lal Kishore, Electronic Measurements and Instrumentation, Pearson Education Publications, 2009

4. H.S. Kalsi, Electronic Instrumentation, Tata McGraw-Hill Education, 2004

Reference Books:

1. Devdas Shetty and Richard Kolk, Thomson, Mechatronics System Design, Cengage Learning, 2nd Edition, 2011

2. Mahalik, Mechatronics, Tata McGraw-Hill Education, 2003

3. HMT, Mechatronics, Tata McGraw-Hill Education Pvt. Ltd., 2000

4. Lawrence J. Kamm, Understanding Electro-Mechanical Engineering: An Introduction to Mechatronics, PHI,

1995

Course Outcome (COs): At the end of the course, the students will be able to

1. Explain various mechatronic components. [L2]

2. Understand how mechatronics systems can be designed and developed. [L1]

3. Understand the functioning of Micro Electro Mechanical System (MEMS) and their applications. [L1, L3]

4. Acquaint themselves with the application of mechatronics systems in various engineering applications.[L1,

L3]

Program Outcomes(POs) of the course:

1. Graduates shall acquire in-depth knowledge in Mechatronics System Design and update the same, integrating existing and updated knowledge in global perspective. [PO1]

2. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for engineering problems considering societal and environmental requirements. [PO4]

3. Graduate shall be able to introspect and apply corrections. [PO11]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

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Scheme of Continuous Internal Evaluation (CIE):

Components

Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE

question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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First Semester

CNC AND ROBOT PROGRAMMING LAB

Subject Code: 16CIM16 Credits: 2

Course Type: PC CIE Marks: 25

Hours/week: L – T – P 0-0-3 SEE Marks: 25

Total Hours: 30 SEE Duration: 3 Hours

Course Learning Objectives (CLOs):

1. To enable the students to write and generate toolpath for Milling programs for prismatic & cylindrical features. 2. To enable the students to write and generate toolpath for Lathe programs for cylindrical features.. 3. To enable the students to write and simulate robot programming for simple tasks.

List of Experiments: 1. Demonstrate the user interface for FANUC programming and the G/M Codes used

2. Develop a program for Drilling/ Reaming of holes

3. Develop a program for contour with linear and circular interpolation

4. Develop a program to mill a pocket using canned cycle

5. Develop a program for milling a slot and drilling/reaming holes

6. Develop a program for facing & step turning operations

7. Develop a program for facing, step turning and drilling a cylindrical component

8. Develop a program for multiple turning operation

9. Demonstrate the user interface for Robot programming

10. Develop a program for pick & place operation for a robot

Manuals and Books: 1. MTAB Manual for Mill and Lathe programming, MTAB Engineers Pvt Ltd, Chennai. 2. P.N. Rao, CAD/CAM Principles and Applications, McGraw Hill Education Pvt Ltd., 3rd Edition, 2010.

Course Outcomes (COs): After the completion of the course the students will be able to: 1. Write & simulate toolpath for machining contours, pockets, holes and other machining features. [L3] 2. Write & simulate toolpath for machining tapers, steps and other machining features. [L3] 3. Write & execute programs for making the robot perform simple tasks. [L3]

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Program Outcomes (POs) of the course:

PO-1: [Scholarship of Knowledge] Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing and updated knowledge in global perspective.

PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions.

Scheme of Continuous Internal Evaluation (CIE) for Lab:

CIE

Conduct of lab 10

25 Journal 10

Lab test 5

Scheme of Semester End Examination (SEE) for Lab:

SEE

Final examination Conduct of experiments 20

25 Viva- voce 5

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Second Semester

ADVANCED FOUNDRY TECHNOLOGY

Subject Code: 16CIM21 Credits: 4

Course Type: PC CIE Marks: 50

Hours/week: L – T –P 4 – 0 – 0 SEE Marks: 50

Total Hours: 50 SEE Duration: 3 Hours

Course Learning Objectives(CLO’s): To make student understand

1. Foundry metallurgy and concept of solidification of metals. Interpretation and use of cooling curves

2. Design principles of Casting, Gating and Riser system

3. Advanced melting techniques and quality control of castings.

4. Cast iron foundry, particular attention to grey cast iron, ductile iron and malleable iron

5. Aluminum alloy foundry practice discussing principal alloys such as Al-Si, Al-Cu and Al-Zn-Mg

6. Copper alloy foundry practice

7. Automation and Modernization of foundry. Robotic applications

Pre-requisites: Basic Knowledge of Foundry technology and material science

Detailed Syllabus:

UNIT –I ` 10 Hours Foundry Metallurgy: Oxidation of liquid metals, gas dissolution in liquid metals, methods of degassing, fluidity, factors affecting fluidity, fluidity tests, hot tearing, Shrinkage of liquid metals. Solidification of Casting: Concept of solidification of metals. Homogenous and heterogeneous nucleation. Growth mechanism. Solidification of pure metals and alloys. Mechanism of columnar and dendritic growth. Coring or Segregation. Solidification time and Chvorinov’s rule. Concept of progressive and directional solidification. Interpretation and Use of Cooling Curves(Thermal Analysis), X-Ray Imaging of Solidification Processes and Microstructure Evolution

UNIT–II 10 Hours

Casting Design: Initial considerations in design, Functional design, Simplification of foundry practices, Metallurgical design, Economic considerations. Riser Design: Types of risers and their application, Optimum riser design, Feed metal volume, Riser location, Progressive and directional Solidification, Feeding Distance, NRL method, Feeding aids used in riser design, Factors in riser size, computerized method of riser design. Gating Design: Components of Gating system, Effects of gates on aspiration, turbulence and dross trap, Pressurized versus unpressurized systems, Vertical versus horizontal gating systems.

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UNIT–III 10 Hours Furnace Technology: Cupola and its recent developments, charge calculation, Electron Beam Melting, Plasma Melting and Heating, Electro slag, Re melting. Self-Learning Topics: Casting Defects & Quality Control Casting defects: Shaping faults arising in pouring, Inclusions and sand defects, Gas defects, Shrinkage defects, Contraction defects, Dimensional errors, Compositional errors and segregation. Different inspection and testing methods to evaluate the casting. Coating of Castings, Quality control activities in a foundry

UNIT–IV 10 Hours

Grey cast iron foundry practice: Melting practice, Inoculation, grey iron alloying, pouring, Gating and feeding systems, Foundry properties and engineering properties, Specification, Heat treatment, Applications. Ductile iron foundry practice: Melting practice, Desulfurization methods, Composition control, magnesium treatment, inoculation, casting and solidification, Engineering Properties, Austempered Ductile iron(ADI),Applications. Malleable iron foundry practice: Melting practice, Structure of White-heart and black-heart malleable cast iron, Pearlitic malleable iron, Properties and applications. Self-Learning Topics: Cast Iron Metallurgy Classification of cast iron, Composition and graphitization, Carbon equivalent, Graphite morphology, effect of various elements. Special casting processes Investment casting, Die casting, centrifugal casting, full mould casting, vacuum shield casting etc

UNIT–V 10 Hours

Soft Material foundry Practice: Aluminum casting-Composition, properties and application of common aluminum alloy casting, Melting and casting of aluminum alloys, Gating and risering of Al-alloy casting, Copper alloy foundry practice- General characteristics of common cast copper alloys, Melting and casting of copper alloys, Gating and risering of copper alloy castings. Foundry Automation and Modernization: Introduction to modernization. Mechanization of foundry and its advantages. Mechanization of sand plant, moulding and core making mechanization in melting, pouring and shake out units. Material handling equipments and conveyor systems. Foundry robotic applications.

Text Books 1. R W Heine,C R Loper, and P C Rosenthal, Principles of Metal Casting, Tata McGraw Hill, 1976 2. P.R. Beelely, Foundry Technology, Butterworth ,2001 3. Titov Stepnov, Foundries practice 4. M.Lal and O.P. Khanna, A Text Book of Foundry Technology, Dhanpat Rai & Sons ,2007

Reference Books: 1. ASM Handbook, Casting, Vol. 15, ASM Publication, Materials Park, Ohio,2008. 2. Hans Roedter, The Essential of Gating and Risering system Design, Rio Tinto Iron and Titanium

Inc.2000 3. P.C. Mukherjee, Fundamentals of Metal casting Technology

4. P.D.Webster, Fundamentals of Foundry Technology

Course Outcomes(COs): 1. At the end of course students will be able to design casting, gating and risering systems [L6]. 2. The students will get a clear thought on importance of solidification of advanced alloys,

interpretation of cooling curves, imaging of solidification process and microstructure evaluation [L3].

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3. The student will recognize the different types of melting and molding techniques for a particular alloy[L2].

4. They will be able to appraise control casting quality, knowledge in inspection, testing methods and statistical quality control activities[L5].

5. Ability to use the methods, skills and engineering tools to produce castings of grey cast iron, ductile iron and malleable iron[L3]

6. Develop foundry practice for advanced soft materials[L6]. 7. Ability to implement computer and robot technology in the foundry process to meet desired

needs and to function on multi disciplinary team[L5] 8. Broad education to understand the impact of mechanization in melting, pouring and material

handling[L2]. Program Outcomes(POs) of the course:

1. Graduates shall acquire in-depth knowledge and update the same, integrating existing and updated

knowledge in global perspective. [PO1]

2. Graduates shall possess ability for independent judgment based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO2]

3. Graduates shall conceptualize through lateral thinking and obtain feasible and optimal solutions for

engineering problems considering societal and environmental requirements . [PO3]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests

out of three Average of two

assignments/ activity Seminar/

Mini Project Total

Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester INDUSTRIAL ROBOTICS

Subject Code: 16CIM22 Credits: 4

Course Type: PC CIE Marks: 50 marks

Hours/week: L – T – P 4-0-0 SEE Marks: 50 marks

Total Hours: 50 SEE Duration: 3 Hours

Course Learning Objectives (CLOs):

1. To introduce the basic concepts, parts of robots and types of robots.

2. To study different robot transformations and sensors.

3. To study the kinematics and dynamics of different standard configuration of manipulators.

4. To make the student familiar with the various drive systems for robot, sensors and their applications in robots.

5. To understand various control systems and their applications in robot Prerequisites: Basic knowledge of mathematics- matrices, control systems. Detailed Syllabus:

UNIT –I 10 Hours

Introduction: Automation and Robotics, Historical Development, Definitions, Basic Structure of Robots,

Robot Anatomy, Complete Classification of Robots, Fundamentals about Robot Technology, Factors

related to use Robot Performance, Basic Robot Configurations and their Relative Merits and Demerits,

Types of Drive Systems and their Relative Merits, the Wrist & Gripper Subassemblies.

ROBOT TRANSFORMATIONS: 2D and 3D Transformation-Scaling, Rotation, Translation- Homogeneous

coordinates, multiple transformation-Simple problems.

Self learning topics: Automation and Robotics, Historical Development, Definitions, Basic Structure of Robots, Robot Anatomy, Complete Classification of Robots, Fundamentals about Robot Technology, Factors related to use Robot Performance, Basic Robot Configurations and their Relative Merits and Demerits

UNIT –II 10Hours

Kinematics of Robot Manipulator: Introduction, General Description of Robot Manipulator,

Homogenous Representation of Objects, Robotic Manipulator Joint Co-Ordinate System, Euler Angle &

Euler Transformations, Roll-Pitch-Yaw(RPY) Transformation, Direct & Inverse Kinematics Solution, D H

Representation & Displacement Matrices for Standard Configurations.

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UNIT –III 10Hours

Dynamics of Robotic Manipulators: Introduction, Brief Discussion on Lagrange–Euler (LE) Dynamic

Modeling of Robotic Manipulators: - Preliminary Definitions, Generalized Robotic Coordinates, Dynamic

Constraints, Newton’s Equation, Euler Equation, The Lagrangian & Lagrange’s Equations. Applications of

Lagrange– Euler (LE), Dynamic Modeling of Robotic Manipulators: - Velocity of Joints, Kinetic Energy of

Arm, Potential Energy of Robotic Arm, The Lagrange of two Link Robotic Dynamics with Distributed Mass.

UNIT –IV 10 Hours

Robotic Motion Trajectory Design: – Introduction, Trajectory Interpolators, Basic Structure of Trajectory

Interpolators, Cubic Joint Trajectories. General Design Consideration on Trajectories:-4-3-4 & 3-5-3

trajectories.

Robot Teaching: Introduction, Various Teaching Methods, Task Programming, Survey of Robot Level

Programming Languages, WAIT, SIGNAL & DELAY Commands, various Textual Robot Languages Such as VAL

II, RAIL, AML and their Features, Typical Programming Examples such as Palletizing, Loading Etc.

UNIT –V 10 Hours

Robot Sensing & Vision: Various Sensors and their Classification, Use of Sensors and Sensor Based

System in Robotics, Machine Vision System, Description, Sensing, Digitizing, Image Processing and

Analysis and Application of Machine Vision System.

Industrial Applications: Objectives, Automation in Manufacturing, Robot Application in Industry, Task

Programming, Goals of AI Research, AI Techniques.

Self learning topics: Objectives, Automation in Manufacturing, Robot Application in Industry, Task Programming, Goals of AI Research, AI Techniques. Text Books:

1. Mohsen Shahinpoor, A Robot Engineering Textbook, Harper & Row publishers, New York, 1987.

2. S. B. Niku, Introduction to Robotics Analysis, Systems, Applications, Pearson Education, 2008.

3. Fu, Lee and Gonzalez, Robotics, control vision and intelligence, McGraw Hill International, 1987.

4. J. J. Craig, Introduction to Robotics: Mechanical and Control, Addison-Wesley, 2nd

edition 1989.

Reference Books:

1. R. J. Schilling, Fundamentals of Robotics, Analysis and Control, PHI, 2006

2. Yoram Koren, Robotics for Engineers, McGraw Hill International, 1985.

3. Groover, Weiss, Nagel, Industrial Robotics, McGraw Hill International, 1986.

4. Keramas, Thomson, Robot Technology Fundaments, Vikas Publication House, 1999.

5. Klafter, Chmielewski and Negin, Robotic engineering - An Integrated approach, PHI, 1989.

6. Mikell. P. Groover, Industrial Robotics Technology-Programming and Applications, McGraw Hill Co,

1995

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Course Outcomes (COs):

At the end of the course, the student will be able to,

1. Familiarize with the history, concept development and key components of robotics technologies

[L2].

2. Understand basic mathematic manipulations of spatial coordinate representation and

transformation [L2, L4].

3. Understand and able to solve basic robot forward and inverse kinematics problems [L2, L3].

4. Understand and able to solve basic robotic dynamics, path planning and control problems [L2, L3].

5. Understand and demonstrate principles of various Sensors and their applications in robots [L2].

Program Outcomes (POs) of the course: PO-2: [Critical Thinking] Graduates shall possess ability for independent judgement based on critical analysis and also for synthesis of information for extensive research in the area of specialization. PO-3: [Problem Solving] Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for engineering problems considering societal and environmental requirements. PO-4: [Research Skill] Graduates shall review relevant literature, apply appropriate research methodologies, working individually or as a team contributing to the advancement of domain knowledge. PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions. Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two

tests out of three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester NON TRADITIONAL MACHINING

Course Code 16CIM23 Credits 4

Course type PC CIE Marks 50 marks

Hours/week: L-T-P 4-0-0 SEE Marks 50 marks

Total Hours: 50 SEE Duration 3 Hours

Course learning objectives:

1. To introduce the concept of non-traditional machining (NTM) processes and the need/scope of those processes.

2. To present an overview of classification and comparison between conventional and non- conventional machining process.

3. To lay a firm foundation with regard to the principles, equipments and applications of NTM processes with emphasis on the latest developments.

4. To analyze some of the NTM processes with regard to the material removal rate (mrr) and to solve related engineering problems.

Pre-requisites: Basic knowledge of Conventional manufacturing and its concepts. Detailed Syllabus: Unit I 10 Hours Introduction: History, Classification, comparison between conventional and Non- conventional

machining, process selection.

Ultrasonic Machining (USM): Introduction, equipment, tool materials & tool size, abrasive slurry,

Acoustic Head, Tool Feed Mechanisms, Mechanics of USM, Expression for MRR:- Effect of process

parameters: Effect of amplitude and frequency and vibration, Effect of abrasive grain diameter,

effect of applied static load, effect of slurry concentration, tool & work material, USM process

characteristics: Material removal rate, tool wear, Accuracy, surface finish, Numerical Problems.

Self Learning Topics: applications, advantages & Disadvantages of USM, Latest Developments.

Unit II 10 Hours Abrasive Jet Machining (AJM): Introduction, Equipment, Variables in AJM: Carrier Gas, Type of

abrasive, size of abrasive grain, velocity of the abrasive jet, mean number, abrasive particles per unit

volume of the carrier gas, work material, stand- off distance (SOD), nozzle design, shape of cut. Process

characteristics-Material removal rate, Nozzle wear, Accuracy & surface finish. Applications, advantages &

Disadvantages of AJM. Water Jet Machining (WJM): Principal, Equipment, Operation, Application.

Self Learning Topics: Advantages and limitations of water Jet machining, Abrasive water Jet machining,

Latest Developments in AJM, WJM

Unit III 10 Hours Electrochemical Machining (ECM): Introduction, study of ECM machine, elements of ECM process : Cathode

tool, Anode work piece, source of DC power, Electrolyte, chemistry of the process, ECM Process

characteristics – Material removal rate, Kinematics and Dynamics of ECM, Accuracy, surface finish,

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Selective Dissolution, Effect of Heat and Hydrogen Gas Bubbles, ECM Tooling: ECM tooling technique &

example, Tool & insulation materials, Tool size Electrolyte flow arrangement, Handling of slug, Economics

of ECM, Applications such as Electrochemical turning, Electrochemical Grinding, Advantages, Limitations.

Numerical Problems, Latest Developments.

Chemical Machining (CHM): Introduction, elements of process, chemical blanking process : Preparation of

work piece, preparation of masters, masking with photo resists, etching for blanking, accuracy of

chemical blanking, applications of chemical blanking, chemical milling (contour machining): process steps –

masking, Etching, process characteristics of CHM: material removal rate, accuracy, surface finish, advantages

& application of CHM. Latest Developments.

Self Learning Topics: Electrochemical Honing, Electrochemical De-burring, Hydrogen embrittlement

Unit IV 10 Hours Electrical Discharge Machining (EDM): Introduction, mechanism of metal removal, EDM Circuits and

Operating Principles, dielectric fluid, spark generator, EDM tools (electrodes) Electrode feed control,

Electrode manufacture, Electrode wear, EDM tool design, choice of machining operation, electrode

material selection, under sizing and length of electrode, machining time. Flushing; pressure flushing,

suction flushing, side flushing, pulsed flushing synchronized with electrode movement, EDM process

characteristics: metal removal rate, accuracy, surface finish, Machining Accuracy, Heat Affected Zone.

Machine tool selection, Application, EDM accessories / applications, electrical discharge grinding.

Numerical Problems.

Self Learning Topics: traveling wire EDM, Latest Developments

Unit V 10 Hours Plasma Arc Machining (PAM): Introduction, equipment, non-thermal generation of plasma, selection of gas,

Mechanism of metal removal, PAM parameters, process characteristics, PAM Torch, Accuracy and Surface

Finish, Metallurgical Effects, Safety precautions, Latest Developments.

Laser Beam Machining (LBM): Introduction, equipment of LBM mechanism of metal removal, LBM

parameters, Process characteristics. Numerical Problems, Latest Developments.

Electron Beam Machining (EBM): Principles, Mechanics of EBM equipment, operations. Numerical

Problems, Latest Developments.

Self Learning Topics: applications, advantages and limitation of PAM, EBM and LBM.

Text books:

1. Pandey and Shan, Modern Machining Process, Tata McGraw Hill, 2000.

2. Amitabha Ghosh and Asok Kumar Mallik, Manufacturing Science, Affiliated East-West Press Pvt. Ltd.,

New Delhi, 2010. Reference books:

1. HMT, Production Technology, Tata McGraw Hill, 2001

2. P.K.Mishra, Non-Conventional Machining, The Institution of Engineers (India) Test book series,

Narosa Publishing House, 2005.

3. NPTEL Notes nptel.ac.in/downloads/ Course Outcome (COs):

At the end of the course, the student should be able to:

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1. Explain the concept and evolution of Non -Traditional Machining (NTM) processes. [L2]

2. Explain equipment, mechanism of material removal and effect of different process parameters in the mechanical NTM processes (AJM, USM, WJM) and thermal NTM processes (EDM, PAM, LBM, EBM) [L3, L4]

3. Explain equipment, mechanism of material removal and effect of different process parameters in the chemical and electrochemical NTM processes (CHM, ECM) [L3, L4]

4. Solve numerical problems and explain latest developments related to NTM processes. [L4] Program Outcomes(POs) of the course: 1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing

and updated knowledge in global perspective. [PO1]

2. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for

engineering problems considering societal and environmental requirements. [PO3]

3. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex

engineering solutions. [PO5]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components

Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester

FLEXIBLE MANUFACTURING SYSTEMS

Subject Code: 16CIM24 Credits: 4

Course Type: PC CIE Marks: 50

Hours/week: L – T – P 4 – 0 – 0 SEE Marks: 50

Total Hours: 50 SEE Duration: 3 Hours

Course Learning Objectives (CLO’s): 1. To impart the concept & need for flexibility in manufacturing industries. 2. To impart the knowledge required to develop and implement an FMS. 3. To study the different types of automated material transport systems its design and analysis

for different applications both AS/RS and Carousel storage system. 4. To understand the concepts of group technology and cellular manufacturing. 5. To learn the perception of aggregate production planning, master production schedule, MRP and

Inventory control. Pre-requisites: Basics of manufacturing processes and computer integrated manufacturing. Detailed Syllabus: UNIT –I ` 10 Hours

Definition of an FMS: Types, configurations & concepts – Types of flexibility & performance measures. Function of FMS host computer, FMS host and area controller function distribution. Development and implementation of an FMS: Planning phase, Integration, System configuration, FMS layouts, Simulation, FMS Project development steps. Self learning topics: Project management, Equipment development, Host system development, planning, and Hardware & Software development. UNIT –II 10 Hours Automated Material Handling & Storages systems: Functions, Types, Analysis of material handling equipments, Design of Conveyor & AGV systems. Benefits of Automated material handling systems. Problems. Storage system performance, AS/RS, Carousel storage system, WIP storage system UNIT–III 10 Hours Group Technology and Cellular Manufacturing: Introduction, Part families, parts classification and coding, production flow analysis, Machine cell design, Benefits of Group Technology. Quality programs for manufacturing: Quality in design and manufacturing, Traditional and Modern quality control, Process variability Process Capabilty , SPC and Six sigma.

UNIT –IV 10 Hours Production Planning & Control system : Aggregate production planning and master production schedule, material requirement planning, Just-In-Time : Definition JIT, Concept, Objectives Self learning topics: Capacity planning, shop floor control, Inventory control, Extension of MRP.

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UNIT –V 10 Hours Scheduling: Introduction, Scheduling of operations on a single machine, 2 machine flow shop scheduling, 2 machine job shop scheduling, 3 machine flow shop scheduling, scheduling ‘n’ operations on ‘n’ machines, Scheduling rules, loading problems , Tool management of FMS, material Handling system schedule. Problems.

Text Books 1. M.P. Groover, Production Systems and Computer Integrated Manufacturing, Automation, Prentice Hall

India (P) Ltd, 2008.

2. D J Parrish, Butter Worth , Flexible manufacturing – Heinemann, Ltd Oxford, 1993.

3. William W. Luggen, Flexible Manufacturing Cells & Systems –Prentice hall, NJ.

Reference Books: 1. D M Considine, and G D Considine, Standard Handbook of Industrial Automation -

Chopman and Hall, London, 1986.

Course Outcomes (COs): 1. Students will learn and understand the concepts, techniques and applications of flexible

Manufacturing System [L2].

2. The students will be able to describe an FMS system in present manufacturing scenario [L2].

3. The student will understand the different types of FMS layouts, material transport and retrieval systems [L2].

4. To solve the sequencing problems for different cases and tool management [L3]. Program Outcomes (POs) of the course: PO-1: [Scholarship of Knowledge] Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing and updated knowledge in global perspective.

PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions.

PO-8: [Communication] Graduates shall possess communication skills to comprehend, document and present effectively to the engineering community and society at large.

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

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Scheme of Continuous Internal Evaluation (CIE): The Total marks of CIE shall be 50 (three tests of 30 marks each, two Assignments of 10 marks each and quiz/course seminar/course project of 10 marks each). The weightage of CIE is as shown in the table below.

Component Average of best 2 Tests

Average of 2 Assignments

Quiz/Seminar/ Project

Total Marks

Maximum marks 30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester

ADVANCED TOOL ENGINEERING DESIGN

Subject Code: 16CIM251 Credits: 4

CourseType: PE CIE Marks: 50

Hours/week: L – T – P 4-0-0 SEE Marks: 100

Total Hours: 50 SEE Duration: 3Hours

Course Learning Objectives(CLOs): 1. To impart the basic concepts and fundamentals of Tool engineering, its techniques and

applications 2. To comprehend the relationship between Tool s and Machine tool 3. To enhance awareness in the recent aspects of Tool engineering

Pre-requisites: Basic Knowledge of machine tools and cutting tools and also machining process.

Detailed Syllabus:

UNIT–I 10hours

Introduction to tool design of Single point Cutting Tools Introduction to tool design: Tooling, requirements of a tool designer, general tool design procedure. Design of Single point Cutting Tools. Design of single point lathe tool. Design of shank dimension using strength and rigidity considerations for rectangular, square and round cross section and selection of tool geometry. Self Learning Topics: Solid type tool, brazed tip tool, long indexable insert, throwaway index able insert types and chip breakers. UNIT–II 10hours

Design of Multi Point Cutting Tool Design of milling cutter. Design of elements like number of teeth and height circular pitch, body thickness, chamfer width, fillet radius and selection of tool geometry. Self Learning Topics: Drill bit design of elements like back taper, web thickness, land width, margin, flute length and cross section and selection of tool geometry.

UNIT–III 10hours

Design of Jigs and Fixtures Functions and differences between jigs and fixtures ,advantages in mass production, design principles, economics of jigs and fixtures. Principles of location -3-2-1 and 4-1-1 types of locations, different types of locating elements. Clamping – Principles of clamping, types of clamping including power clamping devices. Drill jigs- Types, Drill bushes, simple exercises of designing jigs for given components. Fixture Design turning fixtures, milling fixtures, grinding and broaching fixtures, indexing fixtures. Design of fixtures for simple components.

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UNIT–IV 10hours

Design of Sheet Metal Working of a power press and classification of presses. Components of a simple die, press tool operation, die accessories, shearing action in punch & die, clearance ,shear on punch and die, Centre of pressure and problems, scrap strip layout. Simple, progressive, compound, combination and inverted dies. Design problems on blanking and piercing dies for simple components.

Injection Molding Injection moulding machine and its elements, general configuration of a mould. 2 plate and 3 plate mould. Introduction, to gate, runner, parting surface, ejection system. Core and cooling system. Introduction to compression, transfer, blow moulding, extrusion, forming and calendaring.

UNIT–V 10hours

Die Casting Dies Terminology: Core, cavity, sprue, slug, fixed and movable cores, finger cams, draft, and ejector pins ejector plates, gate, goose nozzle, over-flow, platten, plunger, runner, vent, water-line etc. Types of Dies: Single cavity, multicavity dies, combination dies, unit dies, advantages and disadvantages of types of dies. Die casting dies, unit dies. Advantages and disadvantages of types of dies. Die casting alloys, defects in die casting, finishing trimming and inspection of die casting components, safety, and modern trends in die casting dies.

TextBooks: 1. C. Donaldson, G.H.LeCain ,V.C.Goold , Tool Design, Tata McGraw Hill pub.1976 2. M.H.A Kempster, Introduction to Jigs and Fixture Design ,Elbs Edition1974.

ReferenceBooks: 1. P.N.Rao, Manufacturing Technology (Foundry, Forming and Welding) Tata Mcgraw Hill

Publication Edition1996. 2. RGW Pye John, Injection Moulding Design,1998 3. D. V. Rosato& Donald V. Rosato Injection Moulding Handbook, CBS Publishers 1996

Course Outcomes(COs): 1. Students will learn the concepts, techniques and applications of Tool Design engineering [L2] 2. Students will learn the working concepts of Fixturing and various tools of engineering [L2]

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge and update the same, integrating existing and

updated knowledge in global perspective. [PO1]

2. Graduates shall possess ability for independent judgment based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO2]

3. Graduates shall conceptualize through lateral thinking and obtain feasible and optimal solutions

for engineering problems considering societal and environmental requirements . [PO3]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

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Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests

out of three Average of two

assignments/ activity Seminar/

Mini Project Total

Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester

NON DESTRUCTIVE TESTING

Course Code 16CIM252 Credits 4

Course type PE CIE Marks 50 marks

Hours/week: L-T-P 4-0-0 SEE Marks 50 marks

Total Hours: 50 SEE Duration 3 Hours

Course learning objectives:

To make student understand 1. The concept & need for inspection equipment and techniques. 2. The different methods of non destructive evaluation.

Pre-requisites: Basic knowledge of Inspection techniques Detailed Syllabus: Unit I 10 Hours Introduction to ND Testing: Visual Inspection, Laser Inspection, Coordinate Measuring Machine. Machine Vision and Robotic Evaluation. Leak Testing. Self Learning Topics: Liquid Penetrant Inspection Unit II 10 Hours Magnetic Particle Inspection - Methods of generating magnetic field, types of magnetic particles and suspension liquids steps in inspection. Eddy Current Inspection- principles, operation variables, procedure, inspection coils, and detectable discounts by the method Self Learning Topics: application and limitations of magnetic particle inspection Unit III 10 Hours Microwave Inspection: Microwave holography, applications and limitations Ultrasonic Inspection- Basic equipment characteristics of ultrasonic waves, variables inspection, inspection methods pulse echo A,B,C scans transmission, resonance techniques, search units, contact types and immersion types inspection standards-standards reference books. Self Learning Topics: transducer elements couplets Unit IV 10 Hours Acoustic Emission Inspection- relationship to other test methods, range and applicability, acoustic emission waves and propagation, acoustic emission sensors and preamplifiers, instrumentation principles, acoustic emission in material studies. Radiographic Inspection- principles, radiation source X-rays and gamma rays, X-ray-tube, radio graphic films, neutron radiography, Thermal inspection principles, equipment inspection methods applications. Unit V 10 Hours

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Neutron Radiography- Principles of neutron radiography, attenuation of neutron beams, applications Optical Holography- Basics of Holography, recording and reconstruction - Acoustical Holography: systems and techniques applications. Self Learning Topics: neutron detection methods, Indian standards for NDT.

Text Books 1. ASM Hand book , Non Destructive Evaluation and Quality Control – Vol 17, 2001. 2. Baldev Raj, T.Jayakumar . and M. Thavasimuthu, Practical Nondestructive Testing, Narosa

Publishing House, 2002

Reference Books: 1. R.K .Jain, Engineering Metrology, Khanna Publishers, 1997

2. Progress in Acoustic Emission’, Proceedings of 10th

International Acoustic Emission symposium,

Japanese society for NDT,1990 3. Barry Hull and Vernon John, Non Destructive Testing, Macmillan, 1988 Course Outcome (COs): 1. Students will understand the concepts, techniques and applications of non destructive testing [L2]. 2. The students will describe the importance of non destructive testing in present inspection

world [L2]. 3. The student will learn and explain the different types of different non destructive methods [L2]. Program Outcomes(POs) of the course: 1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing

and updated knowledge in global perspective.[PO1] 2. Graduates shall possess ability for independent judgement based on critical analysis and also for synthesis

of information for extensive research in the area of specialization.[PO2]

3. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions. [PO5]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components

Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS

Subject Code: 16CIM253 Credits: 4

Course Type: PE CIE Marks: 50 marks

Hours/week: L – T – P 4-0-0 SEE Marks: 50 marks

Total Hours: 50 SEE Duration: 3 Hours

Course Learning Objectives (CLOs):

1. The course is aimed at providing a complete overview Artificial Intelligence and Expert System.

2. The course is aimed in order to make the student aware of significance of AI & expert System’s application in advanced manufacturing applications

Prerequisites: Basic knowledge of control systems.

Detailed Syllabus:

UNIT –I 10 Hours

Human and Machine Intelligence; Concepts of fifth generation computing, programming AI environment, developing artificial intelligence system, definition of Expert systems, Natural Language processing, neural networks. Tools for Machine Thinking: Forward chaining, backward chaining, use of probability and fuzzy logic.

UNIT –II 10 Hours

Expert System Development: Choice of Domain, collection of knowledge base, selection of inference mechanism, case studies of expert system development in design and manufacturing. Advanced Programming Techniques: Fundamentals of object oriented programming, creating structure and object, object operations, involving procedures, programming applications, object oriented expert system.

UNIT –III 10 Hours

Languages in AI: Using PROLOG to design expert systems, converting Rules to PROLOG, Conceptual example, introduction to LISP, Function evaluation, Lists, Predicates, Rule c reat ion .

UNIT –IV 10 Hours

Advanced knowledge representation for smart systems: Semantic nets-structure and objects, ruled

systems for semantic nets, certainly factors, Automated learning

Expert System Tools: General structure of an expert system shell, examples of creation of an expert system using an expert system tool.

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UNIT –V 10 Hours

Industrial Application of AI and Expert systems: Robotic vision systems, Image processing techniques,

application to object recognition and inspection, automatic speech recognition.

Self learning topics: Robotic vision systems, Image processing techniques, application to object recognition and inspection, automatic speech recognition. Text Books:

1. Robert Levine et al, A Comprehensive guide to AI and Expert Systems, McGraw Hill Inc, 1986.

Reference Books:

1. Henry C. Mishkoff, Understanding AI, BPB Publication, New Delhi, 1986.

Course Outcomes:

At the end of the course, the student shall be able to,

1. understand human and Machine Intelligence [L2].

2. Understand tools for machine thinking and associated advanced programming techniques [L2, L3]

3. Demonstrate the application of AI & expert systems in industry [L1, L2].

Program Outcomes (POs) of the course: PO-2: [Critical Thinking] Graduates shall possess ability for independent judgement based on critical analysis and also for synthesis of information for extensive research in the area of specialization. PO-3: [Problem Solving] Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for engineering problems considering societal and environmental requirements. PO-4: [Research Skill] Graduates shall review relevant literature, apply appropriate research methodologies, working individually or as a team contributing to the advancement of domain knowledge. PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions.

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks 30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester ADVANCED CONTROL ENGINEERING

Course Code 16CIM254 Credits 4

Course type PE CIE Marks 50 marks

Hours/week: L-T-P 4-0-0 SEE Marks 50 marks

Total Hours: 50 SEE Duration 3 Hours

Course learning objectives:

1. To study various control techniques used in industrial automatic controls.

2. To study various frequency response methods.

3. To study various response and system compensation methods.

4. To get exposure of digital control systems.

Pre-requisites: Should have knowledge of Basic Electronics and Control Engineering Detailed Syllabus: Unit I 10 Hours Introduction to Automatic Controls: Steady-State Operation, Laplace Transforms. The Root-Locus Method: - Introduction, Root Locus Plots, Illustrations, General rules for Constructing Root

Loci, Root Locus Analysis of Control Systems, Transport Lag and Root contour Plots.

Self Learning Topics: Representation of Control Components, Representation of Control Systems,

Characteristic functions.

Unit II 10 Hours Frequency Response Methods: - Introduction, Evaluating the Gain K, Equivalent Unity-Feedback Systems.

Polar Plots, M And α Circles, Correlation between Transient and Frequency Response, Determining the

Gain K to Yield a Desired Mp, Relative Stability.

Self Learning Topics: Frequency Response, Logarithmic Representation

Unit III 10 Hours System Compensation: Gain Margin and Phase Margin, Lead Compensation, Lag Compensation, Lag-Lead

Compensation.

Self Learning Topics: Nyquist Stability Criterion

Unit IV 10 Hours State-Space Methods: - Introduction, Basic materials in State-Space Analysis, Transfer Matrices,

Controllability, Observability, System Representation, Signal Flow Graphs, Solution of State-Space

Equations, Transform Functions and Multivariable Systems.

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Unit V 10 Hours Digital Control Systems: - Sampled-Data Systems, The Z Transform, Inverse Z Transforms, Block-Diagram

Algebra, Transient Response, Filters. Discrete Data Systems, Sampled-Data Control Systems, Computer-

Controlled Systems.

Books: Text Books:

1. Francis H. Raven, Automatic Control Engineering, McGraw- Hill International, Third edition, 1978.

2. K. Ogata, Modern Control Engineering, PHI, Fifth edition, 2010. Reference Books:

1. B.C. Kuo, Automatic Control Systems, Prentice hall, Third edition, 1975.

2. Rao V. Dukkipati, MATLAB for Mechanical Engineers, 1st Edition, New Age International Publishers, 2008

Course Outcome (COs):

At the end of the course, the student will be able to:

1. Understand various control techniques used in modern engineering control system[L2, L3]

2. Understand various system compensation and response methods [L2, L3].

3. Explain digital control systems [L1]. Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective. [PO1] 2. Graduates shall possess ability for independent judgement based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO4] 3. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions for

engineering problems considering societal and environmental requirements. [PO3]

4. Graduates shall be able to engage in collaborative multidisciplinary scientific research for decision

making through rational analysis. [PO6]

5. Graduate shall be able to introspect and apply corrections. [PO11]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two

tests out of three Average of two

assignments/ activity Seminar/

Mini Project Total

Marks

Maximum Marks 30 10 10 50

Scheme of Semester End Examination (SEE): 1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA. 2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Second Semester

RAPID PROTOTYPING AND CASTING ANALYSIS LAB

Subject Code: 16CIM26 Credits: 2

Course Type: PC CIE Marks: 25

Hours/week: L – T – P 3 SEE Marks: 25

Total Hours: 30 SEE Duration: 3 Hours

Course Learning Objectives (CLOs): 1. To enable the students to use CAD software for solid modeling 2. To enable the students to use RP process and parameters for prototyping 3. To enable the students to use Solidcast for casting analysis

List of Experiments: 1. Solid modeling using modelers like CATIA/SE of casting component 1 2. Solid modeling using modelers like CATIA/SE of casting component 2 3. Solid modeling using modelers like CATIA/SE of casting component 3 4. Rapid Prototyping system- introduction to FDM process and parameters 5. Making the RP parts for simple components

6. Introduction to Casting analysis, gating and riser design 7. Introduction to Solidcast- Casting parameters and process 8. Casting analysis of component using Solidcast, riser design parameters to predict shrinkage.

9. Designing of riser, gates in modeling software. 10. Casting analysis of component incorporating riser and gates using Solidcast and Flowcast to

reduce shrinkage.

Manuals and Books: 1. P.N. Rao, CAD/CAM Principles and Applications, McGraw Hill Education Pvt Ltd., 3rd Edition,

2010. 2. Solidcast reference material, Finite Solutions Inc, 2015

3. Creatr (FDM) RP machine reference manual, Leapfrog, 2014. 4. P L Jain, Principles of Foundry Technology, Tata McGraw-Hill Education, Revised edition, 2003.

Course Outcomes (COs): After the completion of the course the students will be able to: 1. Apply the tools to model mechanical components. [L2] 2. Demonstrate the process to manufacture prototypes using FDM process.[L2] 3. Analyze the castings for shrinkage and other defects. [L4]

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Program Outcomes (POs) of the course:

PO-1: [Scholarship of Knowledge] Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing and updated knowledge in global perspective.

PO-5: [Usage of modern tools] Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex engineering solutions.

Scheme of Continuous Internal Evaluation (CIE) for Lab:

CIE

Conduct of lab 10

25 Journal 10

Lab test 5

Scheme of Semester End Examination (SEE) for Lab:

SEE

Final examination Conduct of experiments 20

25 Viva- voce 5

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First and Second Semester Seminar

Subject Code: 16CIM17/ 16CIM27 Credits: 1

Course Type: PC CIE Marks: 25

Hours/week: L – T –P 0 – 0 - 1

Total Hours:

Seminar should be based on the literature survey on any topic relevant to Computer Integrated

Manufacturing. It may be leading to selection of a suitable topic of dissertation.

• Each student has to prepare a write-up of about 25 pages. The report typed on A4 sized sheets and

bound in the necessary format should be submitted after approved by the guide and endorsement of

the Head of Department.

• The student has to deliver a seminar talk in front of the teachers of the department and his

classmates.

• The Guide based on the quality of work and preparation and understanding of the candidate

shall do an assessment of the seminar.

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KLS Gogte Institute of Technology Department of

Mechanical Engineering “JnanaGanga”,

Udyambag, Belagavi -590008

Karnataka,India.

Scheme of Teaching for

M.Tech

in

Computer Integrated Manufacturing

For the Academic year 2015-16

Curriculum framework Distribution of credits

S.No. Su b j e c t A r e a C r e d i t s

1 Professional Core ( Theory &Practical's)

PC 36

2 P r o f e s s i o n a l E l e c t i v e PE 16

3 L a b PC 4

4 S e m i n a r PC 2

5 I n t e r n s h i p SS 10

6 P r o j e c t PR 22

7 T e r m A s s i g n m e n t 4

T o t a l 94

Semester Credits

1 25

2 25

3 2 6

4 1 8

Total 94

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Lecture (L): One Hour /week – 1credit Practical (P): Three hours /week – 2 Credits

F i r s t S e m e s t e r

S.No. Code Course Credits Total

Credits Contact

Hours/week

Marks

L – T – P CIE SEE TOTAL

1 15CIM11 Computer Control of Manufacturing Systems

P C 4 – 0 -0 4 4 50 5 0 100

2 15CIM12 Rapid Prototyping and Tool ing

P C 4 – 0 -0 4 4 50 5 0 100

3 15CIM13 D e s i g n f o r M a n u f a c t u r e

P C 4 – 0 -0 4 4 50 5 0 100

4 15CIM14 Automation in Manufacturing Systems

P C 4 – 0 -0 4 4 50 5 0 100

5 15CIM15X E lective-A P E 4 – 0 -0 4 4 50 5 0 100

6 15CIM16 CNC and Robot programming Lab

P C 0 – 0 -2 2 3 25 2 5 50

7 15CIM17 Seminar-1 P C 0 – 0 -1 1 25 25

8 15PTA18 Term Assignment -1

Mandatory 0 – 0 -2 2 4 25 25

Total 25 2 7 325 275 600

* SEE: SEE (Theory exam) will be conducted for 100 marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA

Term Assignment: The performance is continuously evaluated by the faculty member and Grade is given.

ELECTIVE- A

15CIM151 Computer Aided Design 15CIM153 Finite Element Method

15CIM152 Management Information System 15CIM154 Mechatronics System Design

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Second Semester

S.No. Code Course Credits

Total Credits

Contact Hours/week

Marks

L – T –P CIE SEE

TOTAL

1 15CIM21 Advanced Foundry Technology PC 4 – 0 -0 4 4 50 50 100

2 15CIM22 Industrial Robotics PC 4 – 0 -0 4 4 50 50 100

3 15CIM23 Non Traditional Machining PC 4 – 0 -0 4 4 50 50 100

4 15CIM24 Flexible Manufacturing Systems

PC 4 – 0 -0 4 4 50 50 100

5 15CIM25X Elective-B PE 4 – 0 -0 4 4 50 50 100

6 15CIM26 Rapid Prototyping and Casting Analysis Lab

PC 0– 0 -2 2 3 25 25 50

7 15CIM27 Seminar-2 PC 0 – 0 -1 1 25 25

8 15PTA28 Term Assignment-2 Mandatory 0 – 0 -2 2 4 25 25

Total 25 27 325 275 600

* SEE: SEE (Theory exam) will be conducted for 100 marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA

Term Assignment: The performance is continuously evaluated by the faculty member and Grade is given. ELECTIVE- B

15CIM251 Advanced Tool Engineering Design 15CIM253 Artificial Intelligence and Expert Systems

15CIM252 Non Destructive Testing 15CIM254 Advanced Control Engineering

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T h i r d S e m e s t e r

S . N o .

Code C o u r s e Credits Total

credits Contact

Hours/week

Marks

L – T - P CIE S E E TOTAL

1 15CIM31 Design of Experiments PC 4 – 0 -0 4 4 50 50 100

2 15CIM32X Elective-C PE 4 – 0 -0 4 4 50 50 100

3 15CIM33X Elective-D PE 4 – 0 -0 4 4 50 50 100

4 15CIM34 #Internship SS 10 50 50 100

5 15CIM35 *ProjectPhase-1 PR 4 25 25

Total 26 12 225 200 425

* SEE: SEE (Theory exam) will be conducted for 100 marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA

# Internship report and presentation to be submitted at the end of semester

* Selection of topic and Literature Review

ELECTIVE- C

15CIM321 Advanced Materials Technology 15CIM323 Micro Electro Mechanical Systems

15CIM322 Reverse Engineering 15CIM324 Concurrent Engineering

ELECTIVE- D

15CIM331 Integrated Production Control Systems 15CIM333 Agile Manufacturing

15CIM332 Product Life Cycle Management 15CIM334 Industrial Tribology

F o u r t h S e m e s t e r

S . N o . Code Course Credits Total

credits Contact

Hours/week

Marks

L – T - P CIE SEE TOTAL

1 15CIM41 Project Phase-2

PR 4 25 25

2 15CIM42 Project Phase-3

PR 4 25 25

3 15CIM43 Viva-voce PR 10 100 100

Total 18 24 50 100 150

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Third Semester

DESIGN OF EXPERIMENTS

S u b j e c t C o d e : 15CIM31 C r e d i t s : 4

C o u r s e T y p e : P C C I E M a r k s : 50 marks

Hours/week: L – T – P 4 – 0 – 0 SE E M a r k s : 100 marks

T o t a l H o u r s : 5 0 SEE Duration: 3 hours

Course Learning Objectives:

1) To introduce the role of Design of Experiments (DOE) and its relevance and scope in industry and

research.

2) To lay a firm foundation in the fundamentals of statistics.

3) To introduce basic concepts, types and steps in experimental design.

4) To provide in depth information about analysis and interpretation methods in DOE.

5) To introduce the MINITAB software for statistical analysis and to provide hands on experience in

application of the same to engineering problems and interpretation of ANOVA results.

Prerequisites: Basics of Statistics, SPC.

Detailed Syllabus:

UNIT –I 10 Hours

Basic Statistical Concepts :A Brief History of Statistical Design, Concept of Random Variable, Probability

Density Function, Cumulative Distribution Function, Sample and Population, Measures of Central

Tendency: Mean, Median and Mode. Measures of Variability, Variance, Standard Deviation, Concept of

Confidence Level, Statistical Distributions: normal, Log normal, Weibull Distribution. Hypothesis Testing,

Use of P values in Hypothesis Testing, Probability Plots, Choice of Sample Size, Confidence Intervals,

Illustration through Numerical Examples.

Self Learning Topics: Variance, Standard Deviation, Concept of Confidence Level

UNIT –II 10 Hours

Introduction to Experimentation: Strategy of Experimentation, Typical Applications of Experimental

Design, Basic Principles, Guidelines for Designing Experiments, Introduction to DOE Process, Task Aids and

Responsibilities for DOE Process Steps, DOE Process Step Complete Description.

Experimental Design: Classical Experiments, Factorial Experiments, Factors, Levels, Interactions,

Illustration through Numerical Examples.

Self Learning Topics: Factorial Experiments

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UNIT –III 10 Hours

Experimental Design: Two Level Experimental Design for Two Factors and Three Factors, Three Level Experimental Designs for Two Factors and Three Factors, Factor Effects and Factor Interactions, Fractional Factorial Design, Resolution of Experiments, Central Composite Design, Response Surface Methodology, Illustration through Numerical Examples.

Self Learning Topics: Response Surface Methodology

UNIT –IV 10 Hours

Experiment Design Using Taguchi’s Orthogonal Arrays: Introduction to Quality by Experimental Design,

Historical Perspective, Quality, Elements of Cost, Tools Used in Robust Design, Applications and Benefits of

Robust Design, Quality Loss Function, Noise Factors.

Efficient Test Strategies, Orthogonal Arrays(OA): Types and Selection of Standard OA, Interaction Effect of

factors, Signal to Noise Ratio: Evaluation of Sensitivity to Noise, S/N Ratio for Static problems: Smaller –

the – Better, Nominal– the – Better, Larger – the – Better types, Illustration through Numerical Examples.

Conducting Experiments: Statistical Aspects of Conducting Tests, Characteristics of good and Bad data

Sets.

Self Learning Topics: Orthogonal Arrays(OA): Types and Selection of Standard OA

UNIT–V 10 Hours

Analysis and Interpretation Methods for Experiments : Observation Method, Ranking Method, Column

Effects Method, Plotting Method, Analysis of Variance (ANOVA), No-Way ANOVA, Degrees of Freedom

(DOF), Variance due to Error, One-Way ANOVA, DOF, ANOVA Summary Table, Central Limit Theorem

(CLT), P-Test, F Test for Variance Comparison, Illustration through Numerical Examples.

Confirmation Experiment: Introduction, Estimating the Mean, Confidence Interval around the Estimated

Mean, Confirmation Experiment Decisions.

Self Learning Topics: Analysis of Variance (ANOVA)

Text Books:

1) Douglas C. Montgomery, Design and Analysis of Experiments, 5th Edition, John Wiley & Sons Inc.,

2007.

2) Phillip J. Ross, Taguchi Techniques for Quality Engineering, McGraw Hill, New Delhi, 2005

Reference Books:

1) Madhav S. Phadke, Quality Engineering Using Robust Design, Pearson Education – Low Price

Edition, 2008.

Course Outcomes (COs):

At the end of the course the student will be able to:

Page 58: KLS Gogte Institute of Technology Department of Mechanical ...

1) Define and explain different concepts like random variable, probability density function,

cumulative distribution function [L1, L2]. Explain, classify and distinguish between measure of

central tendency and measure of variability [L2, L3 L4]. Illustrate different distributions [L3]. Solve

problems [L4].

2) Explain design of experiments (DOE) and its relevance [L2]. Explain different strategies of

experimentation and distinguish between them [L2, L4]. Explain guidelines for designing

experiments [L2].

3) Define, classify and explain classical experiments with 2/3 factors and 2/3 levels [L1, L2, L3].

Illustrate the same with sketches [L3]. Distinguish between full factorial experimental design and

fractional factorial experimental designs [L4]. Explain and distinguish between factor effects and

interaction effects [L2, L4]. Explain and illustrate saturated designs and central composite designs

[L2, L3]. Solve numerical problems [L3].

4) Explain and distinguish between different Taguchi’s orthogonal arrays (OA) [L2, L4]. Select proper

OA [L3]. Explain/ distinguish between different signal to noise ratios for static problems [L2, L4].

Solve numerical problems [L3].

5) Explain and distinguish between different analysis and interpretation methods [L2, L4]. Draw

inference from ANOVA table [L5]. Develop mathematical models from experimental data [L5].

Solve numerical problems [L3].

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective.[PO 1]

2. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions

for engineering problems considering societal and environmental requirements. [PO 3]

3. Graduates shall review relevant literature, apply appropriate research methodologies, working

individually or as a team contributing to the advancement of domain knowledge. [PO 4]

4. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex

engineering solutions. [PO 5]

5. Graduates shall be able to engage in collaborative multidisciplinary scientific research for decision

making through rational analysis. [PO 6]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

Page 59: KLS Gogte Institute of Technology Department of Mechanical ...

Third Semester

ADVANCED MATERIALS TECHNOLOGY

C o u r s e C o d e : 1 5 C I M 3 2 1 C r e d i t : 0 4

C o u r s e T y p e : Professional Elective (PE ) CIE Marks : 5 0

Hours/week: L – T – P 4 – 0 – 0 SEE Marks : 5 0

T o t a l H o u r s : 50 SEE Duration : 3 Hours for 100 marks

Course Learning Objectives (CLOs):

1) Students should get an orientation into Newer Materials, Properties and Processing of composites

2) To illustrate the operational principles, advantages, applications, limitations of the various Nano

composites and Powder Metallurgy

3) To understand the characteristics of different materials and its selection.

Prerequisites: Basic knowledge of Material Science, Composites and treatment necessity.

Detailed Syllabus:

UNIT –I 10 Hours

Structure-property relations Introduction, Atomic structure, atomic bonds, secondary bonds, crystal

structure, packing efficiency, crystal defects, grain structure, elastic and plastic deformation in single

crystals, dislocation theory, strain /work hardening, plastic deformation in polycrystalline metals, fracture

of metals, cold working, recrystallization and hot working, grain growth.

Self Learning Topics: Cold working, recrystallization and hot working, grain growth

UNIT –II 10 Hours

Composites: Introduction, classification, matrix and reinforcement materials, properties and applications,

rule of mixtures, longitudinal strength and modulus (iso strain model), transverse strength and modulus

(iso stress model), density and Poisson’s Ratio.

Processing of composites for MMC’s- Liquid-state process- Duraclan Process, Squeeze casting Spray

forming, solid state process- Diffusion bonding, Deformation processing, Various deposition techniques

and In-situ processes.

Self Learning Topics: Duraclan Process

UNIT –III 10 Hours

Plastics- Introduction, molecular structure, isomers, polymerization, thermosetting and thermoplastic

materials, properties and applications of plastics. Processing of PMC’s- Hand layup process, filament

winding process, pultrusion process, pressure bag molding, vacuum bag molding, autoclave molding,

injection molding process and thermoforming process of PMC’s.

Ceramics- Nature and structure, fine ceramics, properties and applications.Processing of CMC’s- Slurry

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infiltration process, combined hot pressing and reaction bonding method, melt infiltration process, direct

oxidation, isothermal chemical impregnation process and Sol-Gel and polymer pyrolysis

Self Learning Topics: Sol-Gel and polymer pyrolysis

UNIT –IV 10 Hours

Nanocomposites: Introduction, concept of nanotechnology and nanomaterials, fabrication of carbon nano

tubes (CNT) by arcing methods, nano material characterization – scanning electron microscope, modern

transmission electron microscope, atomic force microscopy, Processing of Nanocomposites- In situ

polymerization, Melt blending, solvent method, Applications of Nanocomposites.

Powder metallurgy: Introduction, Steps in powder metallurgy, Production of Powder, Characterization &

Testing of Powders, Powder Conditioning, Powder Compaction, Sintering, Finishing operations,

Applications of PM components.

Self Learning Topics: Atomic force microscopy

UNIT –V 10 Hours

Surface treatment: Introduction, Surface Engineering, Surface quality & integrity concepts, Mechanical

treatment, Thermal spraying processes and applications, Vapor deposition processes and applications,

Ion-treatment

Material selection: Introduction, Materials selection and manufacturing, Design process, Procedure for

material selection, Additional factors to consider, consideration of the manufacturing process, ultimate

objective, materials substitution, Effect of Product liability on material selection.

Self Learning Topics: Ion-treatment

Text Books:

1) E.PaulDegarmo, J.T.Black, Ronald A Kohser, Materials and Processing in Manufacturing 8th Edition

– Prentice Hall India.

2) K.K.Chawla, Composite materials – Science & Engineering,.Springer.

3) Nanotechnology – Basic Science and Emerging Technologies, -Mick Wilson, Kamali Kannangara,

Overseas Press India Private Limited, First Indian Edition 2005

4) J. Keith Nelson, Dielectric Polymer Nanocomposites, Springer, 2010

5) AUTAR K.KAW, Mechanics of composite materials,Taylor and Francis group.

6) A.K. Sinha, Powder Metallurgy 2nd Edition –. Dhanpat Rai Publications.

7) Dr. H.K.Shivanand, Composite Materials by. Asian Publication.

Reference Books:

1) ASM Handbook on Metal Casting - Vol .15, 9th edition, ASM publication

2) ASM Handbook on Powder Metallurgy -Vol 17, ASM publications

3) V.S.R Murthy, A.K.Jena, K.P.Gupta, G.S.Murthy Structure and Properties of Engineering Materials,

Tata McGraw Hill.

4) M.M.Schwartz, Composite Materials Hand book –, McGraw Hill.

5) RakeshRath, Nanotechnology, S.Chand and company.

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Course Outcomes (COs):

After completion of the course the students will be able to

1) Judge the application of various newer materials to engineering applications satisfying

requirement of strength and weight. [L5]

2) Describe various composite materials processing techniques[L2]

3) Get an insight of selecting a particular material for the required application [L2]

Program Outcomes (POs) of the course:

1) Graduates shall possess ability for independent judgement based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO 2]

2) Graduates shall review relevant literature, apply appropriate research methodologies, working

individually or as a team contributing to the advancement of domain knowledge. [PO 4]

3) Graduates shall be able to engage in collaborative multidisciplinary scientific research for decision

making through rational analysis.[PO 6]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

3. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

4. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Third Semester

REVERSE ENGINEERING

Su bj ec t C ode : 15CIM322 C r e d i t s : 4

C o u r s e T y p e : Professional Elective (PE) C I E M a r k s : 5 0

Hours/week: L – T – P 4 – 0 – 0 SE E M a r k s : 1 0 0

T o t a l H o u r s : 5 0 SEE Duration: 3 H o u r s

Course Learning Objectives (CLOs):

1. To impart the knowledge of the basic concepts and fundamentals of Reverse engineering- its

techniques and applications

2. To enable the students to understand the relationship between Reverse Engineering and Rapid

Prototyping

3. To enhance awareness in the legal aspects of Reverse engineering

Prerequisites: Basics of Inspection, Metrology and Rapid prototyping.

Detailed Syllabus:

UNIT –I 10 Hours

Introduction to Reverse Engineering, Phases in RE, Methodologies and Techniques for Reverse

Engineering–The Potential for Automation with 3-D Laser Scanners, Computer-aided Reverse Engineering,

Computer Vision and Reverse Engineering, Structured-light Range Imaging, Scanner Pipeline.

UNIT –II 10 Hours

Reverse Engineering Hardware, Introduction, Contact Methods, Noncontact Methods, Destructive

Method.

Reverse Engineering Software, Classification, Phases, Fundamental Reverse Engineering Operations.

UNIT –III 10 Hours

Selecting a Reverse Engineering System, The Selection Process, Point Capture Devices, Triangulation

Approaches, "Time-of-flight "or Ranging Systems, Structured-light and Stereoscopic Imaging Systems,

Issues with Light-based Approaches, Tracking Systems, Internal Measurement Systems, Positioning the

Probe, Post processing the Captured Data, Handling Data Points, Curve & Surface Creation, Inspection

applications, Manufacturing Approaches.

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UNIT –IV 10 Hours

Rapid Prototyping- basic process, Current Techniques and Materials, Applications, Future. Relationship

Between Reverse Engineering and Rapid Prototyping, Introduction, The Adaptive Slicing Approach for

Cloud Data Modeling, Planar Polygon Curve Construction for a Layer, Determination of Adaptive Layer

Thickness, Application Examples.

UNIT –V 10 Hours

Reverse Engineering in Medical device industry, Digital Dentistry Becomes Reality, Hearing Instruments

Meet the Digital Age, Reverse Engineering–A Better Knee Replacement, The Quest for a Total Artificial

Heart.

Legal Aspects of Reverse Engineering, Copyright Law, Reverse Engineering, Recent Case Law, The Fair Use

Statutory Defense.

Self Learning Topics : Applications of RE in Medical industry, Legal aspects of RE

Text Books:

1. V H Raja, K J Fernandes, Reverse Engineering- An Industrial Perspective, Springer-Verlag London Limited,

1st Edition, 2008.

Reference Books:

1. Dr. Wego Wang, Reverse Engineering- Technology of Reinvention, Taylor & Francis Group, 1st Edition,

2011.

Course Outcomes (COs):

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

1. Interpret the concepts, techniques and applications of Reverse engineering [L2]

2. Interpret the working relation between Rapid prototyping and Reverse engineering technique [L2]

3. Explain the legalities associated with the practice of Reverse engineering [L2]

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing

and updated knowledge in global perspective.[PO1]

2. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex

engineering solutions.[PO5]

3. Graduates shall imbibe the professional ethics and integrity for sustainable development of society.

[PO10]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two

tests out of three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

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Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Third Semester

Micro-Electro Mechanical Systems

C o u r s e C o d e : 15CIM323 C r e d i t s : 4

C o u r s e t y p e : Professional Elective (PE) CIE Marks : 5 0

H o u r s / w e e k : L - T - P 4 - 0 - 0 SEE Mar ks : 5 0

T ot a l H o u r s : 5 0 SEE Duration: 3 Hours

Course learning objectives:

1. To make students understand the importance of MEMS and its principles.

2. To make students know various fabrication processes and MEMS design.

3. To introduce to students functional subsystems of MEMS.

4. To introduce to students about the MagMEMS, RF MEMS and Microfluidics.

Prerequisites: Basics of Machining and Mechatronics.

Detailed Syllabus:

UNIT–I 10 Hours

Introduction: Background and introduction, Precision and ultra-precision engineering, Integrated

Circuits (IC), Microelectromechanical systems (MEMS), Microsensor, Microactuators,

Microelectronics fabrication, Micromachining , Mechanical MEMS, Thermal MEMS, RF MEMS,

MOEMS, Magnetic MEMS, Nanotechnology, Microfluidic systems and criteria for MEMS packaging

with design considerations.

Self Learning Topics: Microfluidic systems and criteria for MEMS packaging with design considerations.

UNIT–II 10 Hours

Micromachining : - Introduction, Micromachining, Photolithography – X-ray and Electron beam

lithography, Structural and Sacrificial materials, Thin film deposition – LPCVD,PECVD, Sputtering,

Impurity doping – diffusion and ion implantation doping, Surface micromachining, Bulk Vs Surface

Micromachining, LIGA process and properties of materials.

UNIT–III 10 Hours

Mechanical Sensors and Actuators – Sensing, Actuation, Principles of sensing and actuation,

Capacitive effects, Piezoelectric materials, MEMS Gyroscopes.

Thermal Sensors and Actuators – Introduction, thermistors, thermodevices, thermocouples,

micromachined thermocouple probe, Shape memory alloys, Thermally actuated MEMS relay.

Introduction to Micro-opto-electromechanical systems – Fundamentals and applications.

Self Learning Topics: Introduction to Micro-opto-electromechanical systems – Fundamentals and

applications.

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UNIT–IV 10 Hours

Magnetic sensors and actuators: Introduction, Magnetic material for MEMS and properties, Sensing and

detection, Magnetoresistive sensor, magnetodiodes, MagMEMS actuators, Feedback circuit integrated

magnetic actuator, Large force reluctance actuator.

RF MEMS: Introduction, Review , RF MEMS, MEMS inductors, varactors, tuner/filter, resonator,

clarification of tuner, filter, resonator, switches.

Self Learning Topics: Large force reluctance actuator

UNIT–V 10 Hours

MICROFLUIDIC SYSTEMS: Introduction, applications, important considerations, properties of fluids,

Analytical expression for liqid flow in channel, CFD, Fluid actuation methods, dielectrophoresis,

electrowetting, electrothermal flow, thermocapillary effect, electroosmosis flow, methods to control EOF,

microfluidic dispenser and Micropumps.

Self Learning Topics: Microfluidic dispenser and Micropumps.

Books:

1. N.P.Mahalik, MEMS, TheMcGraw Hill Companies, 3rd edition, 2009.

2. Hsu, Tai –Ran, MEMS and Microsystems, TMH Publications.

Reference Books:

1. Chang Liu, Foundation of MEMS, Pearson Publications, 2012.

Course Outcome (COs):

At the end of the course, the student will be ableto:

1. Understand the importance of MEMS study, its emergence, various fabrication processes [L2]

2. Explain the fundamental components used for MEMS application and system design of the

MEMS [L2].

3. Explain the details of MOEMS, RF MEMS, MagMEMS and Microfluidic devices(MFD) [L2].

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective. [PO1]

2. Graduates shall possess ability for independent judgement based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO2]

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Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Third Semester

CONCURRENT ENGINEERING

Course Code: 15CIM324 Credits: 4

Course type: Professional Elective (PE ) CIE Marks: 50

Hours/week: L-T-P 4 - 0 – 0 SEE Marks: 50

Total Hours: 50 SEE Duration: 3 Hours

Course learning objectives:

1. To familiarize with the basics of Concurrent Engineering

2. Life Cycle Management insights

3. Various approaches to Concurrent Engineering

4. Tools and methodologies available in Concurrent Engineering

5. Implementation of Concurrent Engineering

Prerequisites: Basics of PLM.

Detailed Syllabus:

Unit I 10 Hours

Introduction to Concurrent Engineering: Definitions, Goals of CE, Review of Historical events, Need for CE,

Development process with CE, Role of CAD/CAM in CE, Product life cycle.

Concurrent Engineering Definitions : Introduction, CE definitions, Basic principles of CE, Components of

CE, Concurrency and Simultaneity, Modes of Concurrency, Modes of Cooperation, Benefits of Concurrent

engineering.

Self Learning Topics: Review of Historical events in Concurrent Engineering, Product Life Cycle, Benefits of

Concurrent Engineering

Unit II 10 Hours

Life Cycle Management: Shrinking life cycle, Life cycle management, new product introduction, strategic

technology insertions, Managing Continuity, Managing Revision Changes, Life cycle cost drives, Life cycle

management tools, Sequential versus concurrent engineering.

Self Learning Topics: New product introduction, Sequential versus concurrent engineering.

Unit III 10 Hours

Process Reengineering : Understanding and Managing Change, Reengineering approaches, Tenets of

Process Improvement, Work Flow Mapping, Information flow Charting, Enterprise Models, Process

Improvement Methodology, Change Management Methodology, Concurrent process reengineering.

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Self Learning Topics: Work Flow Mapping, Information flow Charting, Concurrent process reengineering.

Unit IV 10 Hours

Concurrent Engineering Tools: Concurrent Engineering Tools & Techniques , Quality function Deployment,

Value function analysis , Failure Mode & Effect Analysis , Design for Manufacture & Assembly, Design for

X, Taguchi’s Robust Design approach ,Pugh process , customer Focused Design, rapid prototyping –

simulation

Self Learning Topics: customer Focused Design, Rapid prototyping, simulation.

Unit V 10 Hours

Implementation Of Concurrent Engineering: Implementing CE in an organization – concurrent

Engineering Teams – their roles and responsibilities Organizational functions to support CE team

environment. Setting Team goals, measuring performance of team & managing a CE Team, Limitations of

team

Self Learning Topics: Implementing CE in an organization – concurrent Engineering Teams – their roles and

responsibilities, Limitations of team.

Text Books:

1. Moustapha .I “Concurrent Engineering in product Design Development” New Age International

(p) Ltd., Reprint-2006.

2. Biren Prasad “Concurrent Engg. Fundamentals: Integrated Product Development” Vol.I and II,

Prentice Hall, New Jersey.

3. Andrew Kusiak, “Concurrent Engineering: Automation, Tools, and Techniques” Wiley-

Interscience, 1992.

Reference Books:

1. Sammy G. Sinha, “ Successful Implementation of Concurrent Product and Process” Wiley,

John & Sons, Inc., 1998.

2. Carter DE and Baker BS, “Concurrent Engineering- The Product Development Environment

for the 1990’s” Addison Wesley Publishing Company.

Course Outcome (COs):

At the end of the course, the student will be able to:

1. Explain what Concurrent Engineering means[L2]

2. Recall Life Cycle Management of a product[L1]

3. Describe process Reengineering[L2]

4. Identify the various tools in concurrent Engineering[L2]

5. Interpret the role of Concurrent Engineering in Industries[L3]

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Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective.[PO1]

2. Graduates shall conceptualise through lateral thinking and obtain feasible and optimal solutions

for engineering problems considering societal and environmental requirements.[PO3]

3. Graduates shall review relevant literature, apply appropriate research methodologies, working

individually or as a team contributing to the advancement of domain knowledge.[PO4]

4. Graduates shall be able to adopt modern techniques, analytical tools and software for complex

engineering solutions.[PO5]

5. Graduates shall engage in lifelong learning with motivation and commitment for professional

advancement.[PO9]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Third Semester

INTEGRATED PRODUCTION CONTROL SYSTEMS

Subject Code: 1 5 C I M 3 3 1 C r e d i t s : 4

Cours e Typ e: P E CIE Marks : 5 0

H o u r s / W e a k : L - T - P 4 - 0 - 0 SEE Marks: 5 0

T o t a l H o u r s : 5 0 SEE Duration: 3 H o u r s

Prerequisites: Basics of Operations management and Production systems.

Course learning Objectives (CLO’s):

1. To educate students a clear understanding of factors to be considered in production planning

and control

2. To enable the student to fully understand the importance of manufacturing principles in

designing parts of a component.

3. To teach the students the importance of process selection, and new concepts of

Manufacturing.

Detailed Syllabus:

UNIT-I 12 Hours

Management of Production Systems: Linear Programming, Transportation and Assignment models.

Manufacturing and Service Strategies: Forecasting, Capacity Analysis.

UNIT-II 10 Hours

Facility Location and Layout: Balancing of Assembly Lines.

Basic Inventory Systems: Inventory Control, Inventory Systems under Risks, Aggregate and Distribution

Inventory Management, Dynamic inventory models.

UNIT-III 8 Hours

Master Production Schedule: Materials Requirement Planning, Production Scheduling and Sequencing.

UNIT-IV 10Hours

Capacity Planning and Control, High -Volume Production Activity Control and JIT Systems, Control of

Quality, Total Quality Management, Project Management Techniques. Lean TPM, bench marking, lean six

sigma and some modern tools of TQM.

UNIT-V 10 Hours

System Simulation, Supply Chain Management, Speed to Market, Technological Innovation in

Manufacturing and Factory of Future.

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Text Books:

1. Computer Aided Production Management - P.B. Mahapatra, PHI.

2. Production Planning and Inventory Control -Narsimhan, McLeavey and Billington, PHI (EEE).

Reference Books:

1. Operations Management - Norman Gaither & Greg Frazier, Thomson South-Western, ISE.

2. Production/Operations Management - Elwood S Buffa, Wiley Eastern.

3. Production and Operations Management: Concepts, Models and Behavior - Adam & Ebert, PHI.

4. Production and Operations Analysis - Steven Nahmias and Robert Bulfin, TMH.

5. Factory Physics - Hopp and Spearman, TMH.

6. Production Planning, Control and Integration - Sipper and Bulfin, TMH.

7. Production and Operations Management: 6th Edition -Muhlemann, Oakland, Lockyer, Sudhir and

Katyayani, Pearson Education.

Course Outcomes (CO’s):

At the end of the course, the student will be able to:

1. Understand the concepts of planning and control [L3].

2. Students are able to grasp the knowledge on manufacturing and operation management

strategies. [L3].

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective. [PO 1]

2. Graduates shall possess ability for independent judgement based on critical analysis and also for

synthesis of information for extensive research in the area of specialization. [PO 2]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Third Semester

PRODUCT LIFE CYCLE MANAGEMENT

Su bj ec t C ode : 15CIM332 Credits : 4

C o u r s e T y p e : Professional Elective (PE) CIE Marks: 50

Hours/week: L – T – P 4 – 0 – 0 SEE Marks: 100

T o t a l H o u r s : 5 0 SEE Duration: 3 Hours

Course Learning Objectives (CLOs):

1. To provide an overview of the current thinking on the principles, strategies, practices, and

applications of Product Lifecycle Management followed by an in-depth understanding of various

applications and solutions PLM offered that are the focus of today’s innovative organizations.

2. To build conceptual foundation of PLM, along with the latest industry views on PLM applications.

3. To present frameworks which provide economic justifications for PLM projects and explain the

pitfalls of a piecemeal approach to PLM.

Prerequisites: Basics of Product Data Management.

Detailed Syllabus:

UNIT –I 10 Hours

Introduction: Overview, Need, Benefits, Concept of Product Life Cycle, Components / Elements of PLM,

Emergence and Significance of PLM, PLM implementation cases in various industry verticals.

UNIT –II 10 Hours

PLM Strategy and Vision: Company’s PLM vision, PLM Strategy, Principles for PLM strategy, Preparing for

the PLM strategy, Developing a PLM strategy, Strategy identification and selection, PLM business goals.

UNIT –III 10 Hours

Information, Tools, Information systems and people involved in PLM. Product data and processes like

New Product Development, Change Management, Concurrent Design & Process Management, product

data linkages across the domain.

UNIT –IV 10 Hours

PLM Solutions: Different phases of product lifecycle and corresponding technologies, Enterprise

information, knowledge and IP, Change Process, Product Structure & Configuration, Bill of Material,

Requirement, Portfolio, Program & Project, Engineering Process, Supplier Relationship, Manufacturing

Process

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UNIT –V 10 Hours

Human resources in product lifecycle, Methods, Techniques, Practices, Methodologies, Processes, System

components in lifecycle, slicing and dicing the systems, Interfaces, Information Standards, Vendors of PLM

Systems and Components.

Self Learning Topics: Human resources in PLM

Text Books:

1. Grieves, Michael, Product Lifecycle Management, McGraw-Hill, 2006. ISBN 0071452303 2. Antti Saaksvuori, Anselmi Immonen, Product Life Cycle Management - Springer, 1st Edition

(Nov.5,2003)

3. Stark, John. Product Lifecycle Management: Paradigm for 21st Century Product Realization, Springer-

Verlag, 2004. ISBN 1852338105

Reference Books:

1. Kari Ulrich and Steven D. Eppinger, Product Design & Development, McGraw Hill International

Edns,1999.

Course Outcomes (COs):

At the end of the course the students will be able to

1. Describe the PLM concepts and its importance in the organization. [L2]

2. Describe the PLM tools and solutions necessary for implementation in an organization. [L2]

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing

and updated knowledge in global perspective.[PO1]

2. Graduates shall be able to adopt modern techniques, analytical tools and softwares for complex

engineering solutions.[PO5]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

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Third Semester

AGILE MANUFACTURING

S u b j e c t C o d e : 15CIM333 C r e d i t s : 4

C o u r s e T y p e : Professional Elective (PE) CIE Marks: 50 marks

Hours/week: L – T – P 4 - 0 - 0 SEE Marks : 50 marks

T o t a l H o u r s : 5 0 SEE Duration: 3 Hours

Course Learning Objectives (CLOs):

1. Enable to design a globally competitive manufacturing organization using lean manufacturing

principles;

2. To develop the skills to implement lean manufacturing in industry and manage the change process

to achieve continuous improvement of efficiency and productivity.

3. To identify and understand the key requirements and concepts in lean manufacturing and to initiate

a continuous improvement change program in a manufacturing organization.

4. To apply the tools in lean manufacturing to analyze a manufacturing system and plan for its

improvements

5. To manage the manufacturing system to achieve six sigma quality and sustainability.

Prerequisites: Mass manufacturing and production system facilities.

Detailed Syllabus:

UNIT–I 10 Hours

Types of Production-The Agile Production Paradigm- History of Agile Manufacturing-Agile

Manufacturing Vs Mass Manufacturing, Agile Manufacturing Vs Mass Customization-Agile

Manufacturing Research Centers.

Self Learning Topics: Agile Manufacturing Research Centers

UNIT–II 10 Hours

Agile Practices- Agile practice for product development - Manufacturing agile practices - understanding

the value of investing in people, Concept models of Agile Manufacturing infusing managerial principles

for enabling agility.

Self Learning Topics: Manufacturing agile practices and understanding the value of investing in people.

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UNIT–III 10 Hours

Implementing technology to enhance agility- Implementing new technology – reasons – guidelines

preparation for technology implementation - A checklist, technology applications that enhance agility -

agile technology make-or-buy decisions.

UNIT–IV 05 Hours

Performance Measurement and Costing: Measurement of agility – methods – Scoring and Fuzzy

approaches – Costing for Agile Manufacturing practices – Activity Based Costing.

UNIT–V 15 Hours

Creating the learning factory: Imperative for success, factory becoming a learning factory, building a

road map for becoming a learning factory - core capabilities, guiding vision, leadership that fits,

ownership and commitment, pushing the envelope, prototypes, integration, learning challenges for

learning manufacturing business.

Self Learning Topics: Learning challenges for learning manufacturing business

Text Books:

1. Gunasekaran A, “Agile Manufacturing, 21st Strategy Competitiveness Strategy”, Elsevier

Publications, 2001.

2. Montgomery J C and Levine L O, “The Transition to Agile Manufacturing – Staying Flexible for

Competitive Advantage”, ASQC Quality Press, Wisconsin, 1995.

Reference Books:

1. Goldman S L, Nagal R N and Preiss K, “Agile Competitors and Virtual Organizations”, Van Nostrand

Reinhold, 1995.

2. Brian H Maskell, “Software and the Agile Manufacturer, Computer Systems and World Class

Manufacturing, Productivity Press, 1993

Course Outcomes:

By the end of the course the student will be able to:

1. Apply Lean/ Agile manufacturing philosophies and the respective tools/enablers [L3]

2. Apply the appropriate methodologies/ tools for the practical and detailed realization of a newly

designed or an improved redesigned lean/ agile manufacturing system [L3]

3. Apply an integrated approach to efficient manufacturing system design [L3]

4. Perform a manufacturing system analysis / design/ redesign process through the use of

appropriate lean tools/ methodologies and simulation techniques [L3, L6]

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Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating

existing and updated knowledge in global perspective. [PO 1]

2. Graduates shall engage in lifelong learning with motivation and commitment for professional

advancement. [PO9]

3. Graduates shall imbibe the professional ethics and integrity for sustainable development of

society.[PO 10]

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

Page 78: KLS Gogte Institute of Technology Department of Mechanical ...

Third Semester

INDUSTRIAL TRIBOLOGY

C o u r s e C o d e : 1 5 C I M 3 3 4 C r e d i t s : 4

C o u r s e t y p e : Professional Elective (PE) CIE Marks: 5 0

Hours/week: L -T -P 4 - 0 - 0 SEE Mar ks : 5 0

T o t a l H o u r s : 5 0 SEE Duration: 3 Hours

Course learning objectives:

1. Describe surface topography and surface interactions.

2. Recognize the laws of friction, mechanisms of friction, and surface temperature.

3. Appreciate the various modes of wear.

4. Identify types of lubrication

5. Survey tribological testing devices and testing design.

Prerequisites: Basics of Metal forming and manufacturing processes.

Detailed Syllabus:

Unit I 12 Hours

Surfaces and friction: Topography of Engineering surfaces, Contact between surfaces, Sources of sliding

Friction, Adhesion, Ploughing, Energy dissipation mechanisms. Friction Characteristics of metals, Friction

of non-metals, Friction of lamellar solids, friction of Ceramic materials and polymers. Rolling Friction,

Source of Rolling Friction, Stick slip motion. Measurement of Friction.

Self Learning Topics: Sources of sliding Friction, Adhesion, Ploughing

Unit II 10 Hours

Wear: Types of wear, Simple theory of Sliding Wear, Mechanism of sliding wear of metals, Abrasive wear,

Materials for Adhesive and Abrasive wear situations, Corrosive wear, Surface Fatigue wear situations.

Brittle Fracture wear, Wear of Ceramics and Polymers. Wear Measurements.

Self Learning Topics: Wear of Ceramics and Polymers.

Unit III 06 Hours

Lubricants and lubrication types: Types and properties of Lubricants, Testing methods. Hydrodynamic

Lubrication, Elasto-hydrodynamic lubrication, Boundary Lubrication, Solid Lubrication, Hydrostatic

Lubrication.

Self Learning Topics: Types and properties of Lubricants, Testing methods.

Unit IV 10 Hours

Hydrodynamic lubrications: Principle of hydrodynamic lubrication, Pressure development mechanism,

Hydrodynamic bearings, Elasto-Hydrodynamic lubricated bearings.

Page 79: KLS Gogte Institute of Technology Department of Mechanical ...

Unit V 12 Hours

Hydrostatic bearings: Different systems of hydrostatic lubrications, Expression for discharge load carrying

capacity. Torque calculations.

Magnetic bearings: Introduction to magnetic bearings, different equations used in magnetic bearings,

magneto-gas-dynamo bearings, magneto-hydro dynamic bearings

Self Learning Topics: Magnetic Bearings

Text Books:

1. B. C. Majumdar, Introduction to Tribology of bearings, A. H. Wheeler & Co. 1999

2. Raymond G Bayer, Mechanical Wear prediction & preventions, Marcel Dekker, Inc, 1994

Reference Books:

1. Ernest Robinouriez, Friction & Wear of Materials, John Willey & Sons, 2011

2. Karl, Heinz ZumGahr, Microstructure & Wear of Materials, Elsevier Publications, 1943

Course Outcomes (COs):

By the end of the course the student will be able to:

1. Explain different types of wear mechanisms and lubricants. [L2]

2. List and Illustrate different lubrication types that play significant role in industrial bearing designs.

[L1, L3]

Program Outcomes (POs) of the course:

1. Graduates shall acquire in-depth knowledge in manufacturing and update the same, integrating existing and updated knowledge in global perspective. [PO 1]

2. Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. [PO 2]

3. Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.[PO 3]

4. Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.[PO 4]

5. Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.[PO 6]

6. Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.[PO 12]

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two tests out of

three

Average of two assignments/

activity

Seminar/ Mini Project

Total Marks

Maximum Marks

30 10 10 50

Page 80: KLS Gogte Institute of Technology Department of Mechanical ...

Scheme of Semester End Examination (SEE):

1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the calculation of SGPA and CGPA.

2. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full

questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.


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