1.1.3

M.Tech Mechatronics

School of Engineering

Mechanical Engineering

2015-16

School of Mechanical Engineering

Course: M. Tech Mechatronics

Scheme: 2015 – 16

Curriculum

Semester III

Sl

No

Course

Code

Name of the Course Assessment

Pattern

L T P C IA MTE ETE

1 MEC651 Mechatronics Lab 0 0 4 2 50 - 50

2 MEC600 Comprehensive examination 3 0 0 3 20 50 100

3 GUC501 Seminar 3 0 0 3 20 50 100

4 MEC698 Dessertation-1 - - - 15 50 - 50

Semester IV

Sl

No

Course

Code

Name of the Course Assessment

Pattern

L T P C IA MTE ETE

1 MEC672 Industrial Automation 3 0 0 3 20 50 100

2 MEC561 Computational Fluid Dynamics 3 0 0 3 20 50 100

3 MEC675 Energy Smart Materials 3 0 0 3 20 50 100

4 MEC699 Dissertation-2 - - - 15 50 - 50

List of Electives

Basket-1

Sl

No

Course

Code

Name of the Electives Assessment

Pattern

L T P C IA MTE ETE

1 MEC651 Computational Fluid Dynamics 3 0 0 3 20 50 100

2 MEC672 Industrial Automation 3 0 0 3 20 50 100

3 MEC675 Energy Smart Materials 3 0 0 3 20 50 100

Detailed Syllabus

Course Objective

1. To make students get exposed to instrument control, data acquisition and motor control. 2. To train the students in designing and practical implementation of sensing units.

Course Outcome

On completion of this course, the students will be able to

1. Apply the knowledge in Labview 2. Experiment to implement PID controller for various Types of measurements.

3. Compare open loop control system and closed loop control system 4. Test the various sensing techniques and measurements 5. Solve problems using fuzzy logic control

List of Experiments

1. Data Acquisition Using LabView. 2. Sensing Techniques and Measurements through LDR, IR, Strain gauge, Thermocouple, RTD and data logging for

each sensor 3. Virtual Instrumentation Application Building and Controlling Hardware using LabVIEW 4. Closed loop control system for Mechatronics system design. 5. Open loop control system for Mechatronics system design. 6. Study of OPTO ELECTRONICS in Engineering Inspection. 7. Machine Vision Application and Product Testing. 8. Study of FUZZY LOGIC Control Application. 9. Experiment to implement PID controller for various Types of measurements. 10. Adding more functionality to a programmable logic controller (PLC) system by Integrating NI LabVIEW and NI PACs

SCADA Building and Implementation using LabVIEW.

Mode of Evaluation: The Lab performances of students are evaluated.

Components Laboratory

Internal TEE

Marks 50 50

Total Marks 100

Relationship between the Course Outcomes (COs) and Program Outcomes (POs)

MEC651 Mechatronics Lab L T P C

Version 2.0 0 0 4 2

Pre-requisites//Exposure

Co-requisites

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MEC651 Mechatronics Lab

3 2 3 3

1=addressed to small extent

2= addressed significantly

3=major part of course

Mapping between Cos and Pos

Sl. No. Course Outcomes (COs)

Mapped

Programme

Outcomes

1

To impart knowledge in the area of sensor characterization, hydraulic , pneumatic electric actuators and their control with PC as a hardware for the controller.

1,2,5,9

MEC 600 Comprehensive Examination L

3

T

0

P

0

C

3

Version No. 1.0

Prerequisite

Objectives: To examine the students of the comprehension of all the subjects taken in

the M.Tech. program with regard to application in research

Expected

Outcome:

Getting through the examination, the student will be able to assess his/her

capability to conduct research in the chosen area

The examination will include questions from subjects relevant to the research area selected

by the student.

Mode of Evaluation Assignments / Quizzes / Seminars / Written Examination

Recommended by the Board of Studies on:

Date of Approval by the Academic Council:

GUC501 SEMINAR 3 0 0 3

Version No. 1.0

Prerequisite -

Objectives: 1. To make literature survey for various recently emerging technologies. 2. To select any topic of interest and to review the related literature in detail. 3. To compare and analysis the various topologies for the selected topic of interest. 4. To conclude the advantage, drawbacks and future scope of the technique.

Expected Outcome:

On completion of this course, the students will be able to 1. Get familiar with the recently advanced techniques. 2. Get detailed information about the topic of interest. 3. Know how to do literature survey. 4. Develop the interest in research in area of Power Electronics and Electrical Drives.

Text Books

Depending upon the area of interest student may choose any text book of relevant field.

References

Mode of Evaluation Presentation/Seminar Report/Viva Voce

Recommended by the Board of Studies on:

Date of Approval by the Academic Council:

Course Outcomes

On completion of this course, the students will be able to

1. Submit a project synopsis comprising of the application and feasibility of the project. 2. Design a system, component, or process to meet desired needs within realistic constraints such as

economic, environmental, social, political, ethical, health care, safety and sustainability. 3. Work and communicate efficiently in multidisciplinary teams 4. Identify, formulate, and solve engineering problems. 5. Develop an understanding of professional and ethical responsibility.

Catalogue Description

The project work can be an investigative analysis of a technical problem in the relevant area, planning and/or design project, experimental project or computer application based project on any of the topics. Each project group will submit project synopsis within three weeks from start of seventh semester. Project evaluation committee consisting of three or four faculty members specialised in the various fields of department, shall study the feasibility of each project work before giving consent.

Course Content

Project work is of duration of two semesters and is expected to be completed in the eighth semester. Each student group consisting of not more than five members is expected to design and develop a complete system or make an investigative analysis of a technical problem in the relevant area. The project batches are expected to fix their topics, complete preliminary studies like literature survey, field measurements etc. in the seventh semester.

Mode of Evaluation

The evaluation committee shall consist of faculty members constituted by the Dean of School which will

comprise of at least three members comprising of the Division Chair/Program Chair a nominee of the Dean.

The students guide would be a special invitee to the presentation. The seminar session shall be an open house

session. The internal marks would be the average of the marks given by each member of the committee

separately in a sealed envelope to the Dean. There will not be more than three students for a group for such

project submission.

The assessment of all the projects should be done at the end of the seventh semester by the project evaluation committee formed. The students will present their project details and progress of their project to the committee. The complete project report is not expected at the end of the seventh semester. However, a three-four page typed report based on the work done should be submitted by each student to the assessing

MEC698 Dissertation Work -1 L T P C

Version1.02 Date of Approval: Jun 06, 2013 - - - 15

Pre-requisites//Exposure

Co-requisites

committee. The assessment committee and project guides will award the marks for the individual students in a project as follows:

• 20% of the marks is to be awarded by the guide

• 30% of the marks during the reviews (I, II and III)

• 50% by the evaluation committee during the final viva-voice examinations

Components

Project Progress Report Final Evaluation

Internal Supervisor Project Report Presentation and

Viva voice

Marks 20 30 50

Total Marks 100

Scaled Marks 100

Relationship between the Course Outcomes (COs) and Program Outcomes (POs)

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MEC699 Project Work 3 3 3 3 2 2 2 2 3 3 2 2

Mapping between Cos and Pos

Sl. No. Course Outcomes (COs)

Mapped

Programme

Outcomes

1 Get familiar with the recently advanced techniques.

1, 2,3,4

2 Get detailed information about the topic of interest.

1, 2,3,4,12

3 To get familiarise with various simulation tools.

2,5,6,7,8

4 To develop hardware module for the selected techniques and

present the work.

2,5,9,10,11,12

1=addressed to small extent

2= addressed significantly

3=major part of course

Course Objectives 1. To introduce the students in the fields of industrial automation

2. To develop an understanding the concept of material handling and storage system, manufacturing systems 3. To introduce to the various inspection technologies

Course Outcomes

On completion of this course, the students will be able to 1. identify the need of Automation and Understand the reasons for industrial automation components 2. utilize the material handling and storage systems 3. Examine the Manufacturing Systems 4. Examine the Inspection Technology 5. Utilize the manufacturing support systems

Catalog Description Competitive pressures across industries are forcing operational excellence, increased productivity and

regulatory compliance, optimal asset utilization, reduction in downtime and safety related incidents. This

demands intelligence from field devices and analysis of collected data which is displayed in multi-screen

environments. Thus, the industrial automation is brought into the picture.

Text Books

M.P. Groover, Automation, “Production Systems and Computer Integrated manufacturing”, 2nd Edition, Pearson Education (2004)

Reference Books

1. Viswanathan and Narahari, “Performance Modeling of Automated Manufacturing Systems”, PHI, 2000.

2. R.S. Pressman, “Numerical Control and CAM, John Wiley, 1993. 3. Vajpayee, “Principles of CIM”, PHI, 1992.

Course Content

Unit I: Introduction to Automation 6 lecture hours

Automation: Introduction, automation principles and strategies, basic elements of advanced functions, levels

modeling of manufacturing systems.

Unit II: Material handling and Storage system 6 lecture hours

MEC672 Industrial Automation L T P C

Version 1.0 3 0 0 3

Pre-requisites//Exposure

Co-requisites

Introduction, material handling systems, principles and design, material transport system: transfer mechanisms automated feed cut of components, performance analysis, uses of various types of handling systems including AGV and its various guiding technologies. Storage system: Performance, location strategies, conventional storage methods and equipments, automated storage systems.

Unit III: Manufacturing Systems 9 lecture hours

Automated manufacturing systems: Components, classification, overview, group technology and cellular

manufacturing, parts classification and coding, product flow analysis, cellular manufacturing, application

considerations in G.T.FMS: Introduction, components, application, benefits, planning and implementation,

transfer lines and fundamentals of automated production lines, application, analysis of transfer line without

internal storage (numerical problems).

Unit IV: Inspection Technology 9 lecture hours

Introduction, contact and non-contact conventional measuring, gauging technique, CMM, surface measurement, machine vision, other optical inspection techniques, non-contact non-optical inspection technologies versus.

Unit V: Manufacturing support system 9 lecture hours

Process planning and concurrent engineering- process planning, CAPP, CE and design for manufacturing,

advanced manufacturing planning, production planning and control system, master production schedule,

MRP. Capacity planning, shop floor control, inventory control, MRP-II, J.I.T production systems. lean and agile

manufacturing.

Mode of Evaluation: The theory performances of students are evaluated.

Theory

Components Internal TEE

Marks 50 50

Total Marks 100

Relationship between the Course Outcomes (COs) and Program Outcomes (POs)

Mapping between Cos and Pos

Sl. No. Course Outcomes (COs)

Mapped

Programme

Outcomes

1

Understand the reasons for industrial automation components

1,2

2 Know better about the material handling and storage systems

1,3

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MEC672 Industrial Automation

3 2 2 2

1=addressed to small extent

2= addressed significantly

3=major part of course

3 Tell about manufacturing support systems

1,4

Course Objectives 1. To introduce the concept of techniques to solve fluid dynamic problems 2. To apply the finite different method to various problems 3. To use the CFD for various complex geometry 4. To introduce the molecular dynamics

Course Outcomes

On completion of this course, the students will be able to 1. Identify the need of CFD and uses to the various fields 2. apply the FDM to different problems 3. solve navier-stroke equation 4. use the CFD in solving complex geometry 5. determine the Lattice Boltzman equation and Molecular Dynamics algorithm

Catalog Description Computational fluid dynamics, usually abbreviated as CFD, is a branch of fluid mechanics that uses numerical

methods and algorithms to solve and analyze problems that involve fluid flows. Computers are used to

perform the calculations required to simulate the interaction of liquids and gases with surfaces defined by

boundary conditions. With high-speed supercomputers, better solutions can be achieved. Ongoing research

yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or

turbulent flows. Initial experimental validation of such software is performed using a wind tunnel with the

final validation coming in full-scale testing, e.g. flight tests.

Text Books H. K. Versteeg and W. Malalaskera, “An Introduction to Computational Fluid Dynamics”, Dorling Kindersley (India) Pvt. Ltd. (2008). A. A. Mohamad, “Lattice Boltzman Method: Fundamentals and Engineering Applications with Computer Codes”, Springer (2011). Reference Books

1. J. D. Anderson, “Computational Fluid Dynamics”, McGraw-Hill Inc. (1995). 2. S. V. Patankar, “Numerical Heat Transfer and Fluid Flow”, Hemisphere Pub. (1980). 3. K. Muralidhar, and T. Sundarajan, “Computational Fluid Flow and Heat Transfer”, Narosa (2003).

MEC561 Computational Fluid Dynamics L T P C

Version 1.0 3 0 0 3

Pre-requisites//Exposure

Co-requisites

4. D. A. Anderson, J. C. Tannehill and R. H. Pletcher, “Computational Fluid Mechanics and Heat Transfer”, Hemisphere Pub. (1984).

5. M. Peric and J. H. Ferziger, “Computational Methods for Fluid Dynamics”, Springer (2001). 6. C. Hirsch, “Numerical Computation of Internal and External Flows”, Butterworth-Heinemann, (2007). 7. J. M. Jaile, “Molecular Dynamics Simulation: Elementary Methods”, Willey Professional, 1997.

Course Content

Unit I: Concept of Computational Fluid Dynamics 6 lecture hours

Different techniques of solving fluid dynamics problems, their merits and demerits, governing equations of

fluid dynamics and boundary conditions, classification of partial differential equations and their physical

behavior, Navier-Stokes equations for Newtonian fluid flow, computational fluid dynamics (CFD) techniques,

different steps in CFD techniques, criteria and essentialities of good CFD techniques.

Unit II: Finite Difference Method (FDM) 6 lecture hours

Application of FDM to model problems, steady and unsteady problems, implicit and explicit approaches,

errors and stability analysis, direct and iterative solvers. Finite Volume Method (FVM): FVM for diffusion,

convection-diffusion problem, different discretization schemes, FVM for unsteady problems.

Unit III: Prediction of Viscous Flows 9 lecture hours Pressure Poisson and pressure correction methods for solving Navier-Stokes equation, SIMPLE family FVM

for solving Navier-Stokes equation, modelling turbulence.

Unit IV: CFD for Complex Geometry 9 lecture hours

Structured and unstructured, uniform and non-uniform grids, different techniques of grid generations,

curvilinear grid and transformed equations.

Unit V: Lattice Boltzman and Molecular Dynamics 9 lecture hours

Boltzman equation, Lattice Boltzman equation, Lattice Boltzman methods for turbulence and multiphase

flows, Molecular interaction, potential and force calculation, introduction to Molecular Dynamics algorithms.

Mode of Evaluation:

The theory performances of students are evaluated.

Theory

Components Internal TEE

Marks 50 50

Total Marks 100

Relationship between the Course Outcomes (COs) and Program Outcomes (POs)

Mapping between Cos and Pos

Sl. No. Course Outcomes (COs)

Mapped

Programme

Outcomes

1 understand the need of CFD and uses to the various fields 1,2

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MEC561 Computational Fluid Dynamics

3 2 2 2

1=addressed to small extent

2= addressed significantly

3=major part of course

GALGOTIAS UNIVERSITY

Greater Noida, Uttar Pradesh

School of Civil and Mechanical Engineering

Name:

Enrollment No:

Semester End Examination (SEE) Model Paper

M.Tech. – Mechatronics

AME 561: Computational Fluid Dynamics

Time: 3 Hrs. Max. Marks:100

2 apply the FDM to different problems

1,3,4

3 use the CFD in solving problems

1,2

If any data is not given, you can assume appropriate values of data, wherever required.

Make precise and concise answers to the questions (do not waste time writing unnecessarily).

PART – A (8 X 5 = 40 Marks)

Answer ALL the Questions

1. Define stability in numerical solution of fluid flow governing equations.

2. What is the difference between the Euler’s model and Navier stokes model of equations? Write the generic

form of Navier Stokes model.

3. Derive the energy equation for a viscous flow with heat transfer in non-conservative form.

4. Distinguish between the basic discretization techniques. Derive the expression for first order forward, first

order rearward, and central difference equation with respect to x.

5. Write down the elliptic, parabolic and hyperbolic partial differential equations as applicable to

computational fluid dynamics.

6. Draw and explain the sub-sonic and super-sonic flow through the C-D nozzle and also show the variation

in properties along the length of the nozzle.

7. Transform the steady, incompressible continuity equation from x, y physical plane to

the ξ , η computational plane.

8. Derive the momentum equation for the 2-D subsonic supersonic flow through C-D nozzle.

PART – B (4 X 10 = 40 Marks)

Answer Question 9 and any other Three questions.

9. What are the important applications of CFD in engineering? Distinguish between

Conservation and non-conservation forms of fluid flow.

10. Differentiate between the explicit approach and implicit approach for the solution of difference

equations. Formulate the explicit form for 1-D heat conduction equation.

11. Write down the second order central mixed finite difference expression for 1D heat conduction equation.

12. Consider the irrotational, 2-D, inviscid, steady flow of a compressible gas. The flow is slightly purturbed

from free stream like flow over a thin profile. Find the roots of the equations involved in such kinds of

flow using Cramer’s rule and Eigen method.

13. Discuss the vortex panel method applied to lifting flows over a flat plate.

PART – C (1 X20 = 20 Marks)

Answer any ONE of the following

14. What are the various forms of solution of Navier-Stokes equations for incompressible flows? Explain.

15. Explain the grid generation techniques based on PDE and summarize the advantages of the elliptic grid

generation method.

Course Objectives 1. To introduce the concept of smart materials their application in mechatronics systems 2. To know about the piezoelectric materials behavior and their applications 3. To develop an understanding of Shape memory alloys ,electro-active polymers and magnetostrictive

materials

Course Outcomes

On completion of this course, the students will be able to 1. Utilize a fair amount of knowledge of smart materials and its applications 2. develop understanding of Piezoelectric materials 3. Develop understanding of properties of smart materials such as Shape memory alloy 4. Develop understanding of properties of smart materials such as Electro-active polymers (EAPs) 5. Demonstrate the basics of magnetostrictive materials and its applications

Catalog Description Smart materials are designed materials that have one or more properties that can be significantly changed in

a controlled fashion by external stimuli, such as stress, temperature, moisture, pH, electric or magnetic fields.

Piezoelectric materials, SMA, EAPs, magnetostricrtive etc. are emerging smart materials those are widely used

in the markets.

Text Books

Ralph Smith, Smart Material Systems: Model Development, SIAM, Society for Industrial and Applied Mathematics, 2005.

Reference Books

1.Jose L. Pons, Emerging Actuator Technologies, a Micromechatronics Approach, John Wiley & Sons Ltd, 2005

2. F. Carpi, D. De Rossi, R. Kornbluh, R. Pelrine, P. Sommer-Larsen, Dielectric Elastomers as Electromechanical Transducers, Elsevier, Hungry, 2008. 3. Y. B. Cohen, Electroactive Polymer (EAP) Actuators as Artificial Muscles Reality, Potential and Challenges, SPIE press, USA, 2004.

Course Content

Unit I: Introduction 6 lecture hours

Smart materials and their application for sensing and actuation, Mechatronics aspects

Unit II: Piezoelectric materials 6 lecture hours

MEC675 Energy Smart Materials L T P C

Version 1.0 3 0 0 3

Pre-requisites//Exposure

Co-requisites

Piezoelectricity and piezoelectric materials, Constitutive equations of piezoelectric materials, Piezoelectric

actuator types, Control of piezoelectric actuators, Applications of piezoelectric actuators for precise

positioning and scanning.

Unit III: Shape memory alloys (SMA) 9 lecture hours

Properties of shape memory alloys, Shape memory effects, Pseudo-elasticity in SMA, Design of shape memory

actuator, selection of materials, Smart actuation and control, Applications of SMA in precision equipments for

automobiles, trains and medical devices.

Unit IV: Electro-active polymers (EAPs) 9 lecture hours

Ionic polymer metal composites (IPMC), Conductive polymers, Carbon nanotubes, Dielectric elastomers,

Design & control issues for EAP actuators, Applications of EAP for biomemetic, tactile display and medical

devices.

Unit V: Magnetostrictive materials 9 lecture hours

Basics of magnetic properties of materials, magnetostriction: constitutive equations, types of

magnetostrictive materials, Design & control of magnetostrictive actuators, Applications of magnetostrictive

materials for active vibration control.

Mode of Evaluation: The theory performances of students are evaluated.

Relationship between the Course Outcomes (COs) and Program Outcomes (POs)

Theory

Components Internal TEE

Marks 50 50

Total Marks 100

Mapping between Cos and Pos

Sl. No. Course Outcomes (COs)

Mapped

Programme

Outcomes

1 have a fair amount of knowledge of smart materials and its applications

1,2,3

2 Develop understanding of properties of smart materials such as SMA, EAPs etc.

1,3,4

3 Know about the basics of magnetostrictive materials and its applications

1,2,7

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1 2 3 4 5 6 7 8 9 10 11 12

MEC675 Energy Smart Materials

3 1 2 2 1

1=addressed to small extent

2= addressed significantly

3=major part of course

Course Outcomes

On completion of this course, the students will be able to

6. Submit a project synopsis comprising of the application and feasibility of the project. 7. Design a system, component, or process to meet desired needs within realistic constraints such as

economic, environmental, social, political, ethical, health care, safety and sustainability. 8. Work and communicate efficiently in multidisciplinary teams 9. Identify, formulate, and solve engineering problems. 10. Develop an understanding of professional and ethical responsibility.

Catalogue Description

The project work can be an investigative analysis of a technical problem in the relevant area, planning and/or design project, experimental project or computer application based project on any of the topics. Each project group will submit project synopsis within three weeks from start of seventh semester. Project evaluation committee consisting of three or four faculty members specialised in the various fields of department, shall study the feasibility of each project work before giving consent.

Course Content

Project work is of duration of two semesters and is expected to be completed in the eighth semester. Each student group consisting of not more than five members is expected to design and develop a complete system or make an investigative analysis of a technical problem in the relevant area. The project batches are expected to fix their topics, complete preliminary studies like literature survey, field measurements etc. in the seventh semester.

Mode of Evaluation

The evaluation committee shall consist of faculty members constituted by the Dean of School which will

comprise of at least three members comprising of the Division Chair/Program Chair a nominee of the Dean.

The students guide would be a special invitee to the presentation. The seminar session shall be an open house

session. The internal marks would be the average of the marks given by each member of the committee

separately in a sealed envelope to the Dean. There will not be more than three students for a group for such

project submission.

The assessment of all the projects should be done at the end of the seventh semester by the project evaluation committee formed. The students will present their project details and progress of their project to the committee. The complete project report is not expected at the end of the seventh semester. However, a three-four page typed report based on the work done should be submitted by each student to the assessing

MEC699 Dissertation Work -2 L T P C

Version1.02 Date of Approval: Jun 06, 2013 - - - 15

Pre-requisites//Exposure

Co-requisites

committee. The assessment committee and project guides will award the marks for the individual students in a project as follows:

• 20% of the marks is to be awarded by the guide

• 30% of the marks during the reviews (I, II and III)

• 50% by the evaluation committee during the final viva-voice examinations

Components

Project Progress Report Final Evaluation

Internal Supervisor Project Report Presentation and

Viva voice

Marks 20 30 50

Total Marks 100

Scaled Marks 100

Relationship between the Course Outcomes (COs) and Program Outcomes (POs)

Engin

eeri

ng K

now

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Pro

ble

m a

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Des

ign/d

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Conduct

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The

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Envir

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Indiv

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Com

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Pro

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1 2 3 4 5 6 7 8 9 10 11 12

MEC699 Dissertation

Work-2 3 3 3 3 2 2 2 2 3 3 2 2

Mapping between Cos and Pos

Sl. No. Course Outcomes (COs)

Mapped

Programme

Outcomes

1 Get familiar with the recently advanced techniques.

1, 2,3,4

2 Get detailed information about the topic of interest.

1, 2,3,4,12

3 To get familiarise with various simulation tools.

2,5,6,7,8

4 To develop hardware module for the selected techniques and

present the work.

2,5,9,10,11,12