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CRITERION-1

1.1.1 The Institution ensures effective curriculum delivery

through a well-planned and documented process.

AMC ENGINEERING COLLEGE

18th

KM, Bannerghatta Road Bengaluru 560083

INDEX

CONTENT PAGE NUMBER

A sample lesson plan 1

CO-PO mapping document 7

Sample question papers 58

Sample Scheme of Evaluation 59

Syllabus of the courses 65

Report of a Recent visit to a leading National Laboratory by the

Mechanical Engineering students

82

“Incubation Center’’ an innovative product center 86

A product design studio for innovative thinking 101

INNOTRONICS- is Innovative Electronics Lab 105

Raspberry_pi Cell and EMpiRIA-technical team 107

AMCEC-CISCO Networking Academy 124

TEQUED Lab, a Research and Development Center 128

LESSON PLAN 2018-19

1

LESSON PLAN Academic Year: 2018-19

Class: IV Sem

Section: A Course Instructor: Prof. Shanthala K Course Name: KINEMATICS OF MACHINES Course Code: 17ME42

COURSE OBJECTIVE: This subject is being taught to the student of IV SEM Eng., students of Mechanical program with a view to enable him/her to 1. Identify mechanisms with basic understanding of motion, 2 Comprehend motion analysis of linkages of planar mechanisms.

3. Analyse velocity and acceleration for various planar mechanisms. 4. Comprehend motion analysis of Gears, gear trains, CAMS

PREREQUISITE(s): Engineering mechanics , Undergraduate mathematics

COURSE OUTCOME: A student undertaking the this subject will be able to

1. Understand and Analyse the motions of linkages of various planar mechanisms

2. Apply the inversions of planar mechanisms of four bar linkages and slider crank chain mechanism.

3. Determine displacement, velocity and acceleration of different planar mechanisms by graphical method

4. Determine displacement, velocity and acceleration of different planar mechanisms by analytical method and design four bar mechanism.

5. Understand the characteristics of gears and analyse various types of gear trains to determine the design parameters like number of teeth and speed 6. Analyze the motion of cams and follower

It is Basic Subject for: Dynamics of machinery.

SUBJECT APPLICATIONS: Automotive Industries, Rotary Machineries, Design of Mechanisms. (Studying kinematics gives engineers insights on

how the machine functions and what design aspects can be modified to achieve a required motion.)

Sl.

No. Topics

Planned

Date

Execution

date

Deviation Due to

(CL/UPL/OOD/

HOL/Other)

CO’s

BT

PO’s(No. only)

PSO’s

(No.

only)

Remarks

1 Introduction and Syllabus Discussion

05/02/2019 04/02/2019 Extra class 1 1,5 1,2

LESSON PLAN 2018-19

2

2 Basic Definitions: Link, Classification links,

kinematic pairs 05/02/2019 05/02/2019

- 1 1,5

1,2

3 Classification of pairs based on type of relative

motion 06/02/2019 06/02/2019 -

1 1,5 1,2 Taken on

5/2 & 6/2

4 Kinematic chain, mechanism, degrees of freedom 07/02/2019 07/02/2019 -

1 1,5 1,2

5 Grubler's criterion, mobility of mechanism 08/02/2019 08/02/2019 -

1 1,5 1,2

6 Problems on mobility of mechanisms 12/02/2019 12/02/2019 -

1 1,5 1,2

7 Groshoff ’s criteria, inversions of Grashoff ’s chain 12/02/2019 12/02/2019 -

1 1,5 1,2

8 Inversions of four bar mechanism 13/02/2019 13/02/2019 -

2 1,5 1,2

9 Mechanisms: Quick return motion

Mechanisms , Drag link mechanism 14/02/2019 14/02/2019 -

2 1,5 1,2

10 Whitworth mechanism , Crank and

slotted lever Mechanism 15/02/2019 15/02/2019 -

2 1,5 1,2 Taken on

14/2 & 15/2

11

Oldham ’s coupling, Straight line motion

mechanisms Peaucellier's mechanism

and Robert's mechanism

19/02/2019 19/02/2019 -

2 1,5

1,2

12

Intermittent Motion mechanisms: Geneva wheel

mechanism, Ratchet and Pawl mechanism, Toggle

mechanism, Steering gear mechanism

19/02/2019 19/02/2019 -

2 1,5

1,2

13 Introduction to Velocity and Acceleration (by

graphical methods)

20/02/2019 20/02/2019 - 2

1,5 1,2

14 Velocity and Acceleration of 4 bar mechanism 21/02/2019 21/02/2019 - 3

2 , 5 1,2

15 Velocity and Acceleration of 4 bar mechanism 22/02/2019 22/02/2019 - 3

2 , 5 1,2

15 Velocity and Acceleration of 4 bar mechanism 26/02/2019 22/02/2019

Extra class 3

2 , 5 1,2

LESSON PLAN 2018-19

3

17 Velocity and Acceleration of slider crank

mechanism

26/02/2019 26/02/2019 -

3 2 , 5 1,2

18 Velocity and Acceleration of slider crank

mechanism

27/02/2019 27/02/2019 - 3

2 , 5 1,2

19 Coriolis’s component of acceleration 28/02/2019 28/02/2019 - 3

2 , 5 1,2

20 Introduction to Instantaneous centre method,

Kennedy’s Theorem 01/03/2019 01/03/2019 - 3

2 , 5 1,2

21 Problems on Instantaneous centre method 05/03/2019 05/03/2019 - 3

2 , 5 1,2

22 Problems on Instantaneous centre method 05/03/2019 05/03/2019 - 3

2 , 5 1,2

23 Determination of Velocity by Instantaneous

centre method

06/03/2019 06/03/2019 - 3 2 , 5

1,2

24

Determination of Velocity by Instantaneous

centre method. 07/03/2019 07/03/2019

- 3

2 , 5

1,2

25 Kliens construction procedure 08/03/2019 08/03/2019 - 3

2 , 5 1,2

26

Problem on Slider crank mechanism by using

Kliens construction 12/03/2019 12/03/2019

- 3

2 , 5

1,2

27

Problem on Slider crank mechanism by using

Kliens construction 12/03/2019 12/03/2019

- 3

2 , 5

1,2

28

Introduction to Complex algebra and Loop

closure equation. 13/03/2019 13/03/2019

- 4

3,4, 5

1,2

LESSON PLAN 2018-19

4

29

Finding velocity and acceleration of slider

crank mechanism by using complex algebra

method

14/03/2019 14/03/2019

- 4 3,4, 5 1,2

30

Finding velocity and acceleration of slider

crank mechanism by using complex algebra

method

15/03/2019 15/03/2019

- 4 3,4, 5 1,2

31

Finding velocity and acceleration of Four bar

mechanism by using complex algebra method 21/03/2019 21/03/2019

- 4 3,4, 5 1,2

32



- 4 3,4, 5 1,2

33



- 4 3,4, 5 1,2

34 Introduction to Synthesis of mechanism.

Difference between Analysis and Synthesis. 26/03/2019 26/03/2019

- 4

3,4 & 5 1,2

35 Chebychev spacing and structural error. 27/03/2019 27/03/2019 - 4 3,4 & 5 1,2

36

Derivation of Freudenstein’s equation for four bar mechanism

28/03/2019 28/03/2019 - 4 3,4 & 5 1,2

37

Derivation of Freudenstein’s equation for slider crank mechanism

29/03/2019 29/03/2019 - 4 3,4 & 5 1,2

38 Finding the chebychev spacing points 02/04/2019 02/04/2019 - 4 3,4 & 5 1,2

LESSON PLAN 2018-19

5

39 Finding the chebychev spacing points 02/04/2019 02/04/2019 - 4 3,4 & 5 1,2

40

Problems on Synthesis using Freudenstein’s equation

03/04/2019 03/04/2019 - 4 3,4 & 5 1,2

41 Gear Terminologies , law of gearing 04/04/2019 04/04/2019 - 5 1,2 1,2

42 Path of contact, arc of contact 05/04/2019 05/04/2019 - 5 1,2 1,2

43

Contact ratio of spur gear, Interference in

involute gears, methods of avoiding interference,

back lash

09/04/2019 09/04/2019 - 5 1,2 1,2

44

Condition for minimum number of teeth

to avoid interference, expressions for arc of contact

and path of contact

09/04/2019 09/04/2019 - 5 1,2 1,2

45 Gear Trains :Classification of Gear Trains 10/04/2019 10/04/2019 - 5 1,2 1,2

46 Algebraic and tabular methods of finding velocity

ratio 11/04/2019 11/04/2019 - 5 1,2 1,2

47 Problems on Gear Trains 12/04/2019 12/04/2019 - 5 1,2 1,2

48 Problems on Gear Trains. 16/04/2019 16/04/2019 - 5 1,2 1,2

49 Problems on Gear Trains 18/04/2019 26/04/2019

MP- Election 5 1,2 1,2

50 Problems on Gear Trains 23/04/2019 27/04/2019

Test prephoned 5 1,2 1,2

51

Introduction to Cams

Types of Cams, Types of follower motions

30/04/2019 30/04/2019 - 6 1,2 1,2

Mechanical Engineering


COURSE OUTCOMES AND PROGRAM OUTCOMES

Establish the correlation between the courses and the Program Outcomes (POs) and Program

Specific Outcomes (PSOs)

PROGRAM SPECIFIC OUTCOMES: Considered at the end of the

Mechanical Engineering program

PSO-1 Graduates are able to analyze, design and manufacture mechanical systems with latest available technologies.

PSO-2 Graduates are able to work on interdisciplinary projects in their research and development activities.

(A.1) Course Outcomes (COs)

The CO of 8 courses are shown below,

➢ Evidence of COs being defined by course instructor is made available with the department which is

maintained in the course file

➢ Course file is prepared by the course instructor which consists of all the relevant data required for

CO and PO attainments.

➢ ELEMENTS OF MECHANICAL ENGINEERING

C114.1 Apply the basic in core mechanical science and principles in their further Engineering

Career.

C114.2 Perceive the essentialities of sustainable energy generations.

C114.3 Impart wide Knowledge about primary parts of Global Voracious Consumers’ mechanical products (Prime Movers, Refrigeration System, Air-Conditioning system and Boiler).

C114.4 Analyze and automate the joints and FOM’s eventually conceptualize robot for various

case scenarios.

C114.5 Recognize engineering materials of any tangible products. Apply the knowledge of tools,

machining process and joining processes.



ENGINEERING MATHEMATICS III

C231.1 Know the use of periodic signals and Fourier series to analyze circuits and system

communications.

C231.2 Explain the general linear system theory for continuous-time signals and digital signal

processing using the Fourier Transform and z-transform.

C231.3 Employ appropriate numerical methods to solve algebraic and transcendental equations.

C231.4 Apply Green's Theorem, Divergence Theorem and Stokes' theorem in various applications

in the field of electro-magnetic and gravitational fields and fluid flow problems.

C231.5 Determine the extremals of functional and solve the simple problems of the calculus of

variations.

➢ MATERIAL SCIENCE & METALLURGY

C232.1 Understand and apply the concepts of crystal structures, crystal imperfections and

diffusions in metals.

C232.2 Analyze and interpret the mechanical properties of materials and identify the various modes

of failure.

C232.3

Understand various solidification mechanisms, develop binary phase diagrams and Analyze

the microstructures of ferrous, non-ferrous materials and its effects on mechanical

properties.

C232.4 Distinguish and apply various heat treatment processes, which are necessary for

engineering practice.

C232.5 Understand and apply the properties and potentials of various engineering materials.

C232.6 Analyze the properties and design various composite materials for various industrial

applications.

➢ KINEMATICS OF MACHINES

C244.1

Identify degrees of freedom, mechanism, structure, mobility of various mechanisms.

Analyze mechanisms using Grubler’s criterion, Classify mechanisms in to continuous and Intermittent motion mechanisms.

C244.2 Ability to Calculate the velocity and acceleration of Planar Mechanisms.

C244.3 Determine the path of contact, arc of contact, contact ratio of a Spur gear.

C244.4 Design the epicyclic gear trains to find the speed and number of teeth’s in a gear train.

C244.5 Construct the various types of follower motions and Design cams and followers for

specified motion profiles.



➢ DESIGN OF MACHINE ELEMENTS I

C352.1 Describe the design process, properties of materials and apply codes & Standards in the

design of mechanical components.

C352.2 Apply basic stress and strain analysis techniques to machine components subjected to static

loads and utilizing failure theories in the design of machine elements.

C352.3 Design the shafts under different loading conditions and machine elements subjected to

fatigue loading.

C352.4 Analyze bars, beams subjected to Impact load and design the joints with threaded fasteners

under a given loading condition.

C352.5 Design of cotter, knuckle joint, keys, couplings and riveted joints

C352.6 Design of different machine components such as Welded joints, power screws and screw

jack.

➢ HEAT AND MASS TRANSFER

C365.1

Analyze and calculate one dimensional steady state conduction heat transfer through plane

wall, cylinder, and sphere of uniform and non-uniform thermal conductivity with and

without heat generation.

C365.2

Determine temperature and heat flow from straight fins subjected to different boundary

conditions and also analyzes unsteady state conduction problems with lumped analysis

and using Heisler charts.

C365.3 Demonstrate the evaluation of convective heat transfer in free and forced convection from

walls, cylinders under different conditions.

C365.4 Do thermal design of heat exchangers using LMTD and NTU methods and also

demonstrate the heat transfer with change of phase that is boiling and condensation.

C365.5 Workout the radiation heat transfer problems for different cases including radiation shield

and also solve simple numerical on diffusion & convective mass transfer.

➢ MECHANICAL VIBRATIONS

C472.1 To Define, understand and Apply the fundamentals of vibration, causes and effects of

vibration in mechanical systems.

C472.2 To Develop schematic models for physical systems, formulate governing equations of

motion and compute critical speeds.

C472.3 To Analyze and Evaluate the damping system, rotating and reciprocating system.

C472.4 To Analyze and design vibration isolators and absorbers, measuring instruments.

C472.5 To Analyze and Evaluate the multi degree freedom vibration system.

C472.6 Monitor and interpret the condition of the rotating machinery through vibration signature.



➢ CONTROL ENGINEERING

C482.1 Apply mathematical modelling techniques to determine the transfer function of a system.

C482.2 Analyze the time response of first and second order systems.

C482.3 Apply the concept of RH (Routh-Hurwitz) Criterion and root locus technique to determine

the stability of a system.

C482.4 Interpret the frequency response of a system using Bode’s plot and Nyquist stability criterion.

C482.5 Describe the state models and various controllers.

(A.2) CO-PO Matrices of Courses selected in (A.1) (six matrices to be mentioned; one

per semester from 3rd to 8th semester)

➢ Evidence of CO-PO and CO-PSO matrix being defined by course instructor is made available with the

department which is maintained in the course file.

➢ Course file is prepared by the course instructor which consists of all the relevant data required for CO

and PO/PSO attainments and corrective measures.

➢ ELEMENTS OF MECHANICAL ENGINEERING

COURSE NAME: C124 (ELEMENTS OF MECHANICAL ENGINEERING)

COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

POs

C114.1 3 - - - - - - - - - - 2

C114.2 3 - - - - - 2 - - - - 2

C114.3 3 - - - - - 2 - - - - 2

C114.4 3 - 2 - - - - - - - - 2

C114.5 3 - - - - - - - - - - -

AVG 3 - 2 - - - 2 - - - - 2



➢ ENGINEERING MATHEMATICS III

COURSE NAME: C231 (ENGINEERING MATHEMATICS III)

POs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

COs

C231.1 2 2 - - - - - - - - - -

C231.2 2 2 - - - - - - - - - -

C231.3 2 2 - - - - - - - - - -

C231.4 2 2 - - - - - - - - - -

C231.5 2 2 - - - - - - - - - -

AVG 2 2 - - - - - - - - - -

➢ MATERIAL SCIENCE AND METALLURGY

COURSE NAME: C232 (MATERIAL SCIENCE & METALLURGY)


COs

C232.1 3 2 - - - - - - - - - 2

C232.2 - 3 - 3 - 2 - - 2 - - -

C232.3 3 - 3 3 - - - - - - - -

C232.4 3 2 - - - - - - - - - -

C232.5 3 1 - - - - - - - - - -

C232.6 - 3 3 - - - - - - - - 2

AVG 3 2.2 3 3 2 2 2



Justification for the defined table for C232 (MATERIAL SCIENCE & METALLURGY)

CO NO. JUSTIFICATION

C232.1

Strongly mapped with PO1: Applying the knowledge of engineering fundamentals in

crystal systems (SC, BCC, FCC, HCP), can evaluate APF and imperfections in metals.

Moderately mapped with PO2: By solving diffusion problems, analysing diffusion rate

and analyzing APF.

Moderately mapped with PO12: From the fundamentals, he is capable of identifying the

given materials.

C232.2

Strongly mapped with PO1: Applying the knowledge of engineering fundamentals such

as stress, strain, true stress, true strain, ductile, brittle properties will help to solve stress-

stain behaviour of materials and able to analyze elastic, plastic region properties.

Strongly mapped with PO4: By conducting experiments, able to evaluate the strength and

properties of the given materials.

Moderately mapped with PO6: Apply reasoning knowledge to assess safety of the

materials by analyzing the material behaviour.

Moderately mapped with PO9: experimentation and investigations can be performed in a

group in laboratories.

C232.3

Strongly mapped with PO1: Capable of identifying engineering materials, classification

and their microstructures.

Strongly mapped with PO3: apply the knowledge of homogeneous, heterogeneous

solidification mechanisms and with the help of cooling curves, Hume-Rothery rule, can

help to select the materials for solid solutions and to construct phase diagram.

Strongly mapped with PO4: investigating the amount of different phases present in the

constructed phase diagram and interpreting them.

C232.4

Strongly mapped with PO1: Applying the knowledge of various heat treatment processes

and its advantages in engineering materials.

Moderately mapped with PO2: by analyzing the material behaviour after heat treatments

and their behaviour based on the rate of cooling.

C232.5

Strongly mapped with PO1: Applying the knowledge for classification of engineering

materials and their applications, compositions and characteristics.

Weakly mapped with PO2: by analyzing the microstructure of given material, able to

identify the properties.

C232.6

Strongly mapped with PO2: Applying the knowledge of composite materials,

classifications, and matrix and reinforcement materials and analyzes fabrication processes

involved in composite materials.

Strongly mapped with PO3: by analyzing the fiber matrix orientations, developing the

solutions and strength using rule of mixtures in iso-stress and iso-strain conditions.

Moderately mapped with PO12: composite materials are new generation materials, so by

the basic knowledge of composites they are able to identify the composite materials and

their properties.

❖ This is how the justification is done by course instructor.



❖ It is done for all courses and is kept ready.

➢ KINEMATICS OF MACHINES

COURSE NAME: C244 (KINEMATICS OF MACHINES)


COs

C244.1 1 3 - - - - - - - - - -

C244.2 - 3 - - 3 - - - - - - -

C244.3 - - - 2 - - - - - - - -

C244.4 - - 3 2 - - - - - - - -

C244.5 2 - 3 - - - - - - - - -

AVG 1.5 3 3 2 3 - - - - - - -

➢ DESIGN OF MACHINE ELEMENTS I

COURSE NAME: C352 (DESIGN OF MACHINE ELEMENTS)


COs

C352.1 1 - 1 - - 1 1 - - - - -

C352.2 3 3 1 - 3 - - - - - - -

C352.3 2 3 1 - - - - - - - - -

C352.4 1 3 1 - 3 - - - - - - -

C352.5 1 3 1 3 - - - - - - -

C352.6 1 3 - - - - - - - - - -

AVG 1.5 3 1 - 1.5 1 1 - - - - -

➢ HEAT AND MASS TRANSFER

COURSE NAME: C363 (HEAT AND MASS TRANSFER)


COs

C361.1 3 3 - - - - - - - - - -

C361.2 3 2 - - - - - - - - 1

C361.3 3 2 - - - - - - - - 1

C361.4 3 3 2 - - - - - - - - 1

C361.5 3 - - - - - - - - 1

AVG 3 3 2 - - - - - - - - 1



➢ MECHANICAL VIBRATIONS

COURSE NAME: C473 (MECHANICAL VIBRATIONS)


COs

C471.1 3 - - - - - - - - - - -

C471.2 - 3 - - - - - - - - - -

C471.3 - 3 - - - - - - - - - -

C471.4 - - 3 - - - - - - - - -

C471.5 - 3 - - - - - - - - - -

C471.6 - - - 3 - - - - - - - -

AVG 3 3 3 3 - - - - - - - -

➢ CONTROL ENGINEERING

COURSE NAME: C482 (CONTROL ENGINEERING)


COs

C482.1 3 - - - - - - - - - 3 -

C482.2 2 - - - - - - - - 3 3

C482.3 - 3 3 - - - - - - - - -

C482.4 2 3 - 3 - - - - - - - -

C482.5 - - 3 - - - - - - - 3 3

AVG 2 3 3 3 - - - - - 3 3 3

2. Similar table is prepared for PSO’s

➢ COURSE NAME: C124 (ELEMENTS OF MECHANICAL ENGINEERING)

PSOs PSO 1 PSO 2

COs

C232.1 - 1

C232.2 - 1

C232.3 - 1

C232.4 - 1

C232.5 - 1

Average - 1



➢ COURSE NAME: C232 (MATERIAL SCIENCE & METALLURGY)

PSOs PSO 1 PSO 2

COs

C232.1 2 3

C232.2 3 2

C232.3 2 -

C232.4 2 -

C232.5 1 -

C232.6 3 3

Average 2.17 2.67

➢ COURSE NAME: C244 (KINEMATICS OF MACHINES)

PSOs PSO 1 PSO 2

COs

C243.1 3 3

C243.2 3 -

C243.3 1 -

C243.4 2 -

C243.5 - 1

Average 2.25 2

➢ COURSE NAME: C352 (DESIGN OF MACHINE ELEMENTS 1)

PSOs PSO 1 PSO 2

COs

C352.1 3 -

C352.2 3 -

C352.3 3 -

C352.4 3 -

C352.5 3 -

C352.6 3 -

Average 3 -



➢ COURSE NAME: C363 (HEAT AND MASS TRANSFER)

PSOs PSO 1

PSO

2 COs

C361.1 - 1

C361.2 2 -

C361.3 2 -

C361.4 2 -

C361.5 2 -

Average 2 1

➢ COURSE NAME: C472 (MECHANICAL VIBRATIONS)

PSOs PSO 1 PSO 2

COs

C472.1 3 -

C472.2 3 -

C472.3 3 -

C472.4 3 -

C472.5 3 -

C472.6 3 3

Average 3 3

➢ COURSE NAME: C482 (CONTROL ENGINEERING)

PSOs PSO 1 PSO 2

COs

C482.1 2 2

C482.2 2 2

C482.3 2 2

C482.4 2 2

C482.5 2 2

Average 2 2



(A.3) A Program Level Course - PO Matrix of all Courses including First Year

Courses

COURSE PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

C111 2 2 - - - - - - - - - -

C112 3 2 - - - - - - - - - -

C113 3 2 2.66 2 3 - - - 1.2 2 2 3

C114 3 - - - 3 - - - - 3 - 2

C115 3 - - - - 1 1 - 1 1 - 1

C116 2 1.5 2 3 - 2 - - - - - -

C117 3 - - - - - - - - - - -

C118 3 2 - - - - - - - - - -

C121 3 2 - - - - - - - - - -

C122 3 2 - - - - - - - - - -

C123 2 3 3 2 - - 2 - - - - -

C124 3 - 2 - - - 2 - - - - 2

C125 2 3 - - - 2 1 1 - - - 2

C126 3 3 3 - - - - 1 - - - 1.4

C127 2 2 - - - - - - 2 - - -

C128 1 - - - - - - 2 - - - -

C231 2 2 - - - - - - - - - -

C232 3 2.2 3 3 - 2 - - 2 - - 2

C233 3 3 - 3 2.5 3 - 1 1 - - 1

C234 3 2.17 2 3 - - - - - 1 - 2

C235 2.8 2 2 2 - 2 2 - 1 - - 2

C236 2 - 1 - 3 - - 3 - - 3 3

C237 3 2.5 2.3 2 - - - - 3 - - 1.7

C238 2.5 3 2.33 2 - 2 - - 2 - - 1

C241 3 2 - - - - - - - - - -

C242 3 - 2 3 2 2 - - - - - 2

C243 3 3 3 3 3 2 2 2 - - - 1

C244 1.5 3 3 2 3 - - - - - - -

C245 3 3 1 2 2 - 2 - - - -

C246 3 3 3 3 3 3 - - - - - 3

C247 2 - - 3 - - - - 3 1 - -

C248 3 3 - 2.4 - - - - 2 - - 2.4

C351 2.5 - 2 3 - 1 2 2 3 3 3 2

C352 1.5 3 1 - 1.5 1 1 - - - - -



COURSE PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

C353 3 - 2 - - - 2 - - - - 2

C354 2 2.5 3 2.67 - - - - - - - -

C355 2.5 1.6 1.25 - - - - - - 1 - 1

C356 2.5 3 3 3 2 - - - 2 - - 1

C357 - 3 - 3 3 - - - - - - -

C358 - 3 - 3 3 - - - - - - -

C361 3 3 3 3 2 2 3 - - - - 3

C362 2 2.3 2.5 - - - - 1 - - - -

C363 3 3 2 - - - - - - - - 1

C364 3 1.5 - 1 2 - - - - 2 - 1

C365 3 2 2 - 3 - - - - - - 1

C366 2.4 2 2 2 - - 2 - - - 1 1.5

C367 3 1 2 3 - - - - 2 - - 1

C368 2 - 2 - 3 - - - - - 2 3

C471 2.75 2.16 2 2 - - - 1 1.5 1 2 2

C472 3 3 3 3 - - - - - - - -

C473 2 2 - - - - - - - 1.6 - 2

C474 3 3 3 3 - - - - - - 3 2

C475 1 2 1 - - 1.4 1.4 - - - - 1

C476 2.5 2.75 2.5 2 - - - - 2.25 - - 1

C477 3 - 3 3 3 - - - 1 1 - 1

C478 3 1 3 3 3 3 2 2 3

C481 2 3 3 3 - - - - - 3 3 3

C482 3 3 2.6

C483 2 2 2 - - 1 - 1 - - - -

C484 2.6 2.2 2 2.4 2 2 3 3 2 3

C485 2.25 2.5 2.25 1.67 3 1.34 2 2.25 1.75 1.75 3 1

Table-1.1a: Program level defined CO-PO Matrix

PO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

IDEAL LEVEL 2.56 2.4 2.3 2.56 2.65 1.88 1.88 1.73 1.87 1.72 2.4 1.8

NO. OF COURSES

MAPPED 59 48 40 35 19 19 14 14 18 13 10 38

Table-1.1b: Programme levels intensity

Table-1.1a represents the PO levels for each course of the programme. Also, Table-1.1b represents ideal PO levels

of the programme and intensity of PO levels. Here PO1, PO2, PO3, PO4, PO12 are of high intensity but other

POs are of moderate intensity.



Fig 1.1: Ideal PO levels for the program

Table -1.1a shows the CO-PO mapping prepared by the course instructor and the average PO

levels for each course is tabulated in the above matrix. The average value of PO level is calculated by

summing up all the column elements mentioned in the matrix. The information is tabulated in Table 1.1a

is also summarized with the help of column chart as shown in Fig 1.1.

It is observed that some of the defined PO levels are strong and some of them are moderate

hence we can aim to achieve the program between moderate to strong attainments with the help of direct

and indirect assessments.

It is found that all the program outcomes are difficult to define and achieve with high levels for

each course this is because the program is affiliated to university (VTU) and we don’t have the freedom to frame the syllabus to define all POs with high levels for each course.

Actual attainments for each course are calculated based on the PO levels defined in the Table 1.1 which

gives average value of PO level.

(B.1) Attainment of Course Outcomes

B.1.1 Describe the Assessment processes used to gather the data upon which the

Evaluation of Course Outcome is based

The assessment is prepared based on more than one process; it involves mainly the internal assessment,

assignments, university examination and course exit survey of theory and practical’s, by the department

to evaluate course outcomes (COs).

The assessment process consists of two phases namely

1. DIRECT ASSESSMENT

2. INDIRECT ASSESSMENT



1. Course Exit Survey

2. Placements/ Soft Skill Training

3. Co-curricular and extra -

curricular

4. Industrial Visit/Internship

DIRECT

ASSESSMENT

INDIRECT

ASSESSMENT

1. Continuous Internal

Evaluation (CIE)

2. Assignments

3. Semester End Examination

(SEE)

ASSESSMENT PROCESSES

Here direct assessment process is used to achieve CO attainment. Whereas both direct and

indirect assessment process is used to achieve PO attainment. Fig-1.2 shows the flow chart for

assessment process.

Fig-1.2: Flow Chart Representation of Assessment Process

1. DIRECT ASSESSMENT tool consist of two parts namely:

A. Continuous Internal Evaluation (CIE)

B. Semester End Examination (SEE)

Process of attainment of COs by Continuous Internal Evaluation (CIE) and Semester End Examination

(SEE) is as shown in fig 1.3 which is explained as follows:

➢ Before course delivery the course instructor prepares COs, which are mapped to POs/PSOs along

with levels.

➢ The internal marks are based on the performance of students and it is assessed based on 50 Marks for each &

three tests are conducted.

➢ Each faculty pre-sets targets for assessment of course based on previous experiences of external

results and internal assessments.

➢ Internal questions papers are prepared and the questions are mapped with CO/PO/PSOs



➢ The department has developed an automated excel spread sheet to assess the course outcomes and

program outcomes automatically.

➢ The Excel sheet calculates the attainment for each COURSE outcome.

➢ For assessment of COs, the attainment obtained from the internal marks and assignment marks are

considered.

➢ Continuous internal evaluation (CIE) = 30% internals assessment +10% assignment assessment.

➢ Semester End Examination (SEE) Assessment is done based on the university marks obtained by the

student in his final examination.

➢ Direct assessment = Continuous Internal Evaluation (40% CIE) +Semester End Examination (60%

SEE).

Fig1.3: Flow chart of attainment of course

Fig 1.3 and Fig 1.4 shows the flow chart of CO attainment and sample of course outcome which are

already explained step by step.

1. INTERNAL TESTS (30%)

2. ASSIGNMENT (10%)

UNIVERSITY EXAM

MARKS (60%)

SEMESTER END

EXAMINATION

(SEE)

CONTINUOUS

INTERNAL

EVALUATION (CIE)

ATTAINMENT OF COURSE

OUTCOME’S

FINAL COURSE

ATTAINMENT



Fig 1.4: Sample of course outcome attainment

ATTAINMENT OF THEORY COURSE:

Fig 1.5 shows the flow chart of attainment for theory course which is explained as follows.

➢ The process of Continuous Internal Evaluation (CIE) is done based on three internals and three

assignments are given by the course instructor.

➢ Internals are conducted as tests for 50 marks each. The Test question paper will be prepared as per

blooms taxonomy and also meets/satisfies the CO/PO/PSO’s mapping.

➢ Three Technical Assignments will be given by the course instructor for evaluating students for each

semester.

➢ Semester end examination (SEE) assessment is done based on the university marks obtained by the


➢ CIE is considered for 40% of the total internal marks and SEE for 60% of total external marks to

calculate attainments

ATTAINMENT RESULT FOR EACH CO

Direct: Attainment cal Based on the IA, Assignment and External University Marks (40%

(IA+Assignment) + 60 External University):

COURSE

OUTCOMES

(CO)

"a1"

IA (30)

Final

CO

Level

"a2"

Assignment

(10) Final

CO Level

"Da"

Combine

a1&a2,

(75% of

"a1"+25% of

"a2"), is the

outcome for

total 40

(30+10) marks

"Db"

External

University

CO Level

"FA"

Direct

Assessment

(40% of

"Da" + 60%

"Db")

Avg

Attainment

CO1 0.4157 1.0000 0.5618 0.4225 0.4782

0.4820

CO2 0.3959 1.0000 0.5470 0.4225 0.4723

CO3 0.4825 1.0000 0.6119 0.4225 0.4983

CO4 0.4816 1.0000 0.6112 0.4225 0.4980

CO5 0.3592 1.0000 0.5194 0.4225 0.4613

CO6 0.4358 1.0000 0.5768 0.4225 0.4842



Fig 1.5: Flow chart of attainment of theory course

LABORATORY ASSESSMENT:

➢ Performance of students in labs is assessed through continuous evaluation for each experiment.

➢ The Students are motivated to give concentration on the experiments in the laboratory and are

grouped in to batches and each batch is allocated a slot of 3 hours a week

➢ The student’s performance is evaluated in each experiment is based on their performance during lab conduction through rubrics.



➢ Each student is assessed at the end considering both conduction of experiments (Labs) and

completion of models (Workshops).

Rubrics for laboratory is as shown in Table-1.2. and Fig 1.6 shows attainment of laboratory course



Experiment

Name

Marks Distribution Total

Marks

25

Observation

10%

Conduction

10%

Viva

10%

Result

10%

Internal Test

60%

Table-1.2: Rubrics for laboratory evaluation

Fig 1.6: Flow chart of attainment of laboratory course



TECHNICAL SEMINAR:

➢ The assessment of the technical seminar is based on the topic selected, the knowledge of the topic

and the presentation skill.

➢ Final year students must select technical Seminar talk on their subject interest. Marks will be awarded

based on students’ performance. ➢ Each student has to present technical seminar in the presence of internal peer review committee

members with technical seminar co-ordinator.

➢ Seminar topic course materiel should be prepared by each student and need to get the approval from

their respective guide well in advance.

➢ The power point presentation has to be prepared by the students. It should meet the basic requirement

of the committee members in terms of topic selected, the knowledge of the topic and the presentation

skill.

➢ The students are advised and motivated for any improvement in the presentation. At the end of the

day, the students will have the confidence to come front and explain his ideas to improve engineering

and society.

Table-1.3 shows the rubrics for seminar evaluation.

STUDENT

NAME

WITH

USN

SEMINAR EVALUATION RUBRICS

TOPIC

SELECTION

(10Marks)

PRESENTATION

(15 Marks)

LEVEL OF

UNDERSTANDING (15

Marks)

REPORT

(10

Marks)

Total

(50 Marks)

Table-1.3: Rubrics for seminar evaluation

PROJECT WORK:

➢ Generally, 2 to 4 students are permitted to form a project batch who is interested in carrying out a

project of their interest.

➢ The Department Advisory Committee (DAC) consisting of HOD, Dean and senior faculties will

monitor the progress of students through their allotted guides.



RUBRICS FOR PROJECT EVALUATION:

Review # Agenda Rubrics

Review Overall

Assessment Weightage

marks

Progress Evaluation-

I

Project Synopsis/

Proposal

Evaluation

Problem Statement, Literature

Review 10


II

Mid-Term Project

Evaluation

Methodology and Design of

Existing System and Feasibility

of Project Proposal, Planning of

Project Work and Team

Structure

40


III

Semester-End

Project

Evaluation

Demonstrate and Presentation of

Project Work with Project

Report

50

Table-1.4: Project Evaluation Rubrics

Table-3.4 shows the project evaluation rubrics

➢ Project progress is evaluated in three stages by faculty members for 10%, 40% and 50% of total

CIE marks respectively.

➢ Levels of internal assessment: Synopsis, Midterm & Final evaluation.

➢ External assessment is based on the University examination evaluated by Internal & External

examiners allotted by University.





Fig 1.7: Flow chart of attainment of project work course

➢ The Course Instructor prepares the CO-PO matrix.

➢ After internal and external assessment CO attainment is calculated.

➢ After the CO attainment calculation, the attainment level is recorded

➢ Target level is set for courses.

➢ Gap analysis is recorded by the course instructor and suitable action is planned if gap exists.

➢ If target is met, the target is revised for the subsequent year.



CAY: 2016-2017 (PERFORMANCE OF 2013 BATCH)

B.1.2 Record the Attainment of Course Outcomes of all courses with respect to set

Attainment levels

Subject Subject Code CO Attainment

(%)

CO Target

(%)

CO

Level

Engg. Maths I C111 69.61 65 3

Engg. Chemistry C112 66.23 65 3

Programming in C & Data Structure C113 70.14 65 3

Computer aided engg. drawing C114 59 60 2.5

Basic Electronics C115 71.93 60 3

Computer Programming Lab C116 75.57 75 3

Chemistry Lab C117 71.25 75 3

Environmental Studies C118 70.24 70 3

Engg. Maths II C121 60.24 65 3

Engg. Physics C122 73.23 65 2

Elements of civil Engg. C123 59.93 65 2.5

Elements of Mechanical Engg. C124 62.36 60 3

Electrical Engg. C125 53.07 60 2

Workshop Lab C126 80.03 75 3

Physics Lab C127 85.91 75 3

Constitution of India, Professional

Ethics and Human rights C128 56.66 70 2.5

Engineering Mathematics III C231 66.56 65 3

Material Sc. & Metallurgy C232 62.01 65 3

Basic Thermodynamics C233 50.29 55 2

Mechanics of Materials C234 49.2 50 2

Manufacturing Process I C235 68.99 65 3




(%)

CO Target

(%)

CO

Level

Computer Aided Machine Drawing C236 56.53 60 2.5

Metallography & Material Testing

Lab C237 82.57 75 3

Foundry & Forging lab C238 83.43 75 3

Engineering Mathematics IV C241 45.65 65 1.5

Mechanical Measurements &

Metrology C242 51.12 60 2

Applied Thermodynamics C243 44.59 55 1.5

Kinematics of Machines C244 56.59 60 2.5

Manufacturing Process II C245 53.56 60 2

Fluid Mechanics C246 56.3 60 2.5

Mech. Measurements & Metrology

Lab C247 72.67 75 3

Machine Shop C248 76.3 75 3

Management and Entrepreneurship C351 61.04 60 3

Design of Machine Elements I C352 50.55 55 2

Energy Engineering C353 67.19 65 3

Dynamics of Machines C354 62.55 65 3

Manufacturing Process III C355 66.74 65 3

Turbo Machines C356 45.23 55 1.5

Fluid Mechanics & Machines Lab C357 79.52 75 3

Energy Conversion Engg. Lab C358 82.76 75 3

Computer Integrated

Manufacturing C361 71.39 65 3

Design of Machine Elements II C362 43.06 50 1.5

Heat & Mass Transfer C363 52.03 55 2

Finite Element Methods C364 59.34 60 2.5

Mechatronics & Microprocessor C365 74.61 65 3


(%)

CO Target

(%)

CO

Level



Table-1.5: CO-Attainment in percentage and levels

CAY m1:2015-16 (PERFORMANCE OF 2012 BATCH):

Subject Subject

Code

CO Attainment

(%)

CO Target

(%)

CO

Level

Engg. Maths I C111 84.69 60 3

Engg. Chemistry C112 66.63 60 3

Programming in C & Data

Structure C113 67.14 60 2

Computer aided engg. drawing C114 64.83 60 3

Basic Electronics C115 56.24 55 2

Computer Programming Lab C116 82.43 70 3

Chemistry Lab C117 75.49 70 3

Environmental Studies C118 69.58 70 3

Subject Subject

Code

CO Attainment

(%)

CO Target

(%)

CO

Level

Engg. Maths II C121 84.05 60 3

Non-Traditional Machining C366 72.83 65 3

Heat & Mass Transfer Lab C367 76.72 75 3

CAMA Lab C368 85.92 75 3

Economics C471 68.18 65 3

Mechanical Vibrations C472 56.24 60 2.5

Hydraulics and Pneumatics C473 53.33 60 2

Operations Research C474 52.39 60 2

NCS C475 65.88 60 3

ESA C476 64.73 65 3

Design Lab C477 84.91 75 3

CIM and Automation Lab C478 87.62 75 3

Operations Management C481 62.32 60 3

Control Engineering C482 68.24 65 3

Tribology C483 70.66 65 3

Automotive Engg. C484 59.99 65 3

Project Work C485 92.52 75 3



Engg. Physics C122 71.3 60 3

Elements of civil Engg. C123 64.41 60 3

Elements of Mechanical Engg. C124 59.14 60 2.5

Electrical Engg C125 60.17 60 3

Workshop Lab C126 70.36 70 3

Physics Lab C127 83.9 70 3

Constitution of India, Professional

Ethics and Human rights C128 67.92 65 3

Engineering Mathematics III C231 66.64 60 3

Material Sc. & Metallurgy C232 62 60 3

Basic Thermodynamics C233 50.3 55 2

Mechanics of Materials C234 49.2 50 2

Manufacturing Process I C235 69 60 3

Computer Aided Machine Drawing C236 56.5 60 2.5

Metallography & Material Testing

Lab C237 82.5 70 3

Foundry & Forging lab C238 83.4 70 3

Engineering Mathematics IV C241 69.63 65 3

Mechanical Measurements &

Metrology C242 51.1 60 2

Applied Thermodynamics C243 44.6 55 1

Kinematics of Machines C244 56.6 60 2.5

Manufacturing Process II C245 53.6 60 2

Fluid Mechanics C246 56.3 60 2.5

Mech. Measurements & Metrology

Lab C247 72.7 70 3

Machine Shop C248 76.3 70 3

Management and Entrepreneurship C351 61 60 3

Design of Machine Elements I C352 50.6 55 2

Subject Subject

Code

CO Attainment

(%)

CO Target

(%)

CO

Level

Energy Engineering C353 67.2 60 3

Dynamics of Machines C354 62.6 60 3

Manufacturing Process III C355 66.7 60 3

Turbo Machines C356 45.2 55 1.5



Fluid Mechanics & Machines Lab C357 79.5 70 3

Energy Conversion Engg. Lab C358 82.8 70 3

Computer Integrated

Manufacturing C361 71.4 60 3

Design of Machine Elements II C362 43.1 50 1

Heat & Mass Transfer C363 52 55 2

Finite Element Methods C364 59.3 60 2.5

Mechatronics & Microprocessor C365 74.6 60 3

Non-Traditional Machining C366 72.8 60 3

Heat & Mass Transfer Lab C367 76.7 70 3

CAMA Lab C368 85.9 70 3

Economics C471 68.2 60 3

Mechanical Vibrations C472 56.2 60 2.5

Hydraulics and Pneumatics C473 53.3 60 2

Operations Research C474 52.4 60 2

NCS C475 65.9 60 3

ESA C476 64.7 60 3

Design Lab C477 84.9 70 3

CIM and Automation Lab C478 87.6 70 3

Operations Management C481 59 55 2.5

Control Engineering C482 62.4 60 3

Tribology C483 71.9 60 3

Automotive Engg. C484 61.3 60 3

Project Work C485 90.9 70 3

Table-1.6: CO-Attainment in percentage and levels



TARGET SETTING :

Course instructor sets the target based on various factors such as past performance of students, difficulty

of the subject, quality of question paper etc.,

0

10

20

30

40

50

60

70

80

C111C112C113C114C115C116C117C118C121C122C123C124C125C126C127C128

TA

RG

ET

%

COURSE

SET TARGETS-1ST YEAR COURSES

2017-18 2016-17 2015-16



0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE


2017-18 2016-17 2015-16

0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE


2017-18 2016-17 2015-16



Fig 1.8 and 1.9: Target set summary for 1st and 2nd year courses

It is observed from the Fig 1.8 and 1.9 that the target enhanced for each batch of 1st and 2nd year

courses respectively. These figures also indicate that target kept constant for very few of the courses as

the target was not achieved. In such cases course instructor initiate target achieving methodology such as

tutorial classes, remedial classes and extra classes for slow learners and coursewise weak students.

0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE

SET TARGETS-2ND YEAR COURSES

2017-18 2016-17 2015-16

0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE

SET TARGETS-3RD YEAR COURSES



Fig.1.10 and 1.11:Target set summary for 3rd and 4th year courses

It is observed that from the Fig:1.10 and 1.11 that course instructor increased the target

percentage for each batch of 3rd and 4th year students. Targets are increased successively for most of the

courses of 3rd and 4th year. Also it is seen that for few courses target remains unchanged which means

targets are not met for that course. In such cases course instructor plans target achieving action plans

such as tutorial classes,extra classes, remedial classes for slow learners of that particular course.

GAP ANALYSIS WITH SET TARGETS : Target set for each batch is summarised in this section.

Before studying gap between CO attainment % and Target set % here we study gap between target set

with each successive batch. ( e.g., Target % of LYG – Target % of LYGm1)

0

10

20

30

40

50

60

70

80

C471 C472 C473 C474 C475 C476 C477 C478 C481 C482 C483 C484 C485

TA

RG

ET

%

COURSE

SET TARGETS-4TH YEAR COURSES

2017-18 2016-17 2015-16

0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE

Gap analysis of Targets-1ST YEAR

2015-16 TARGET% 2016-17 TARGET% 2017-18 TARGET%



Fig.1.12 and Fig 1.13: Target set Gap analysis for 1st and 2nd year

Fig.1.12, 1.13, 1.14 and 1.15 shows increase in target % for each successive year that is for each

successive batch of students. This means set targets for the particular course is achieved. If target is not increased

this indicates that set target is not achieved and hence requires some corrective action for the subsequent year.

Fig.1.14 and Fig 1.15: Target set Gap analysis for 3rd and 4th year

In the above Fig 1.12,1.13,1.14 and 1.15 it is observed that gap does not exist between few

courses for successive years for example C124 and C125 in first year this is an indication that target is

not achieved in the previous year. Similarly C233,C234,C243 and C246 target is not increased between

two successive year this means there is no gap between targets indicates necessary action plan is to be

0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE

Gap Analysis of Targets-2ND YEAR

2015-16 TARGET% 2016-17 TARGET% 2017-18 TARGET%

0

10

20

30

40

50

60

70

80


TA

RG

ET

%

COURSE

Gap Analysis of Targets-3RD YEAR



initiated by the course instructor of those courses.Similar analysis can be carried out for 3rd and 4th year

courses and they are self explainatory through drawn graphs.

GAP ANALYSIS WITH ATTAINED CO% AND TARGET SET:

Fig.1.16 and 1.17: Gap between CO attainment and set Target

Fig.1.16 and 1.17 shows the CO attainment and CO target in % for each courses with year of

study. Here in the above Fig’s we have shown first year and third year summary of results for CO attainments. In the above figures CO Attainment in % is shown as vertical column and CO Target % is

shown as a curve passing through these CO Attainment columns. If gap exists between the target curve

and the top of column then there exists a gap which indicates that target is not achieved. If the target

0

20

40

60

80

100

CO

%

COURSE CODE

First year CO Attainments for 2016-17

CO Attainment (%) CO Target (%)

0

20

40

60

80

100

CO

%

COURSE CODE

Third year CO Attainments

CO Attainment (%) CO Target (%)



curve intersects the CO Attainment column then there is no gap ( because of intersection) and target is

attained for that course and course instructor is supposed to revise the new target for that course.

Attainment of POs and PSO’s are computed on the basis of direct and indirect attainment methods.

The POs and PSOs attainment is calculated and measured based on levels and percentage.

Direct Assessment Tools:

➢ Direct assessment for POs and PSOs are computed using the CO attainment of each course.

➢ The CO attainment is calculated both in percentage and in levels.

➢ Level-1 is Low, Level-2 is Modetrate and Level-3 is High.

➢ The automated excel sheet converts the COs percentage in to levels based on the set target of students

scoring more than target set percentage.

➢ The course instructor set the level for attainment based on his knowledge and experience as

mentioned in the previous session.

➢ The detailed procedure has been described below with snap shots.



Fig 1.18: Details of course

➢ In the main sheet of the excel format the details of the subject wil be entered as shown in the figure.

➢ The details such as semester, subject, session, class strength will be entered.

➢ The target for the subject will also be entered in this sheet.

➢ Once the details of the course and the target is set, the next part is to enter the marks for the questions

and to relate it with their respective COs.

➢ The total marks for individual COs will be calculated by the excel sheet automatically and will be

displayed

C.1.1 Description of assessment tools and processes used for measuring the attainment

of each Program Outcome and Program Specific Outcomes



Fig 1.19: Marks entry and mapping questions with COs

COvs PO and COvs PSO:

In the CO-PO sheet the course instructor maps the COs to the respective POs with its level’s and the COs with PSOs.

Fig 1.20: Mapping COs with POs and PSOs

➢ The mapping will be done based on three levels as below.

LEVEL 1- Less Related

LEVEL 2- Moderately Related

LEVEL 3- Strongly Related

Marks Entery Sheet :

➢ In the CO-1 to CO-6 Test sheet of the excel format, the first row represents the present and absent

status of the student for that respective internals.



➢ The course instructor enters the marks in the excel sheet for the respective questions for which the

student has answered and obtained the marks.

➢ Fig shows the marks obtained by the students for Q1, Q2 and Q5 questions for 10 marks

Fig 1.21: marks entry of the students

Calculation Sheet :

➢ The automated excel sheet directly considers the marks entered in the CO1-6 T1 sheet which the

course instructor has entered.

➢ Then the excel sheet calculates the percentage for each mark scored for that respective question and

displays in percentage.

➢ The excel sheet calculates the averages of percentage marks of part-A (Q1-Q4) and part –B (Q5-Q8)

➢ Final average of the percentages is being calculated by considering the averages of A and B.

➢ The last row in the excel sheet indicated by letter Y conforms that student attained that particular CO.

➢ Finally, the number of Y will be counted by the automated excel sheet and the co attainment is

calculated T.



Fig 1.22: individual marks calculations in %

CO LEVEL:

Fig 1.23: target level’s

➢ The target levels which the course instructor sets are based on his experience from the previous

results and expectation and is been displayed as in above fig. 3.23 for a particular course.

➢ If 80% of students score more than 60% of marks, then it is considered as LEVEL 3- strongly related

➢ If 70% of students score more than 60% of marks, then it is considered as LEVEL 2- moderately

➢ If 60% of students score more than 60% of marks, then it is considered as LEVEL 1- less related

➢ In the attainment calculation sheet of the excel format the final level calculation will be calculated for

all COs

➢ The calculation will be based on considering 40% IA marks and 60% externals marks and with this

the final attainment is done.



Fig 1.24: course attainment calculation for three tests

➢ The attainment calculation for all the three internals has been calculated and displayed

➢ The attainment calculation is being done both in level and percentage.

Fig 1.25: course attainment calculation in level for three tests



Fig 1.26: course attainment calculation in percentage for three tests

➢ The average of all the COs final attainment will be calculated.

➢ The above fig shows the level attained by the course for the respective COs in the three internals.

➢ Attainment level calculation is done based on considering internal marks, assignments and externals

marks

➢ Final attainment level is the average of all COs attainment level.

➢ Final attainment percentage is the average of all COs attainment percentage.

Fig 1.27: course attainment level result



Fig 1.28: course attainment in %

➢ Attainment result calculation is done based on considering internal marks, assignments and externals

➢ Continuous internal evaluation (CIE) = 30% Internals assessment +10% Assignment assessment.

➢ Semester End Examination (SEE) Assessment is done based on the university marks obtained by the


➢ Direct assessment =Continuous Internal Evaluation (CIE 30%) + Internals Assignment (10%

Assignment) +Semester End Examination (SEE 60%).

➢ Final attainment calculation in percentage is the average of all COs attainment values

CO/POs and CO/ PSO’s LEVEL calculation:

➢ The value of the POs and PSOs in levels are calculated based on the attained COs levels .

➢ The POs and PSOs which are been mapped with COs in the CO-PO/PSO mapping sheet will be concidered

and the values of COs for the mapped POs will be displayed in the cell for that POs

➢ The average of all the COs values for that individual POs will be calculated and will be displayed

Fig 1.29: CO/POs and CO/ PSO’s LEVEL calculation



POs LEVEL:

➢ The final individual POs level are obtained and are been displayed in the PO result sheet .

Fig 1.30: POs attainment in level

PSO’s LEVEL:

➢ The final PSO’s level are obtained and are been displayed in the PSO result sheet .

Fig 1.31: PSOs attainment in level

Indirect Assessment Tools:

Assessment Process Targeted

Students Frequency

Assessment

Tool

Exit survey All students Yearly Excel sheet

Placement All students Yearly Excel sheet

Sports All students Yearly Excel sheet

Placements/ Soft Skill Training All students Yearly Excel sheet

Industrial Visit/Internship All students Yearly Excel sheet

Table-1.7a: Indirect Assessment

Indirect assessment tools/process are tabulated as shown in Table-1.7a which is used to gather

information required for indirect attainment of the programme. Here exit survey consists of course exit

survey, graduate exit survey/programme exit survey. Also various other forms of indirect assessment

tools are shown in the table.



C.1.2 Provide results of evaluation of each PO & PSO

PO attainments are recorded as shown in below table 1.7b-

PO Attainment CAY (2016-17)

Course PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

C111 1.5 2 - - - - - - - - - -

C112 2 1.5 - - - - - - - - - -

C113 2 1.5 2 - 2 - - - - - - -

C114 2 - - - 2 - - - - 2 - 1.5

C115 2 - - - - 1 1 - 1 1 - 1

C116 2 2 2 2.5 - 2 - - - - - -

C117 3 - - - - - - - - - - -

C118 2 1.5 - - - - - - - - - -

C121 2 2 - - - - - - - - - -

C122 2.5 2 - - - - - - - - - -

C123 1.5 2 2 1.5 - - 1.5 - - - - -

C124 2.5 - - - - - 2 - - - - 2

C125 1.5 2 - - - 1.5 1 1 - - - 1.5

C126 2 2 2 - - - - 1 - - - 1

C127 2.5 2 - - - - - - 2 - - -

C128 3 - - - - - - 2 - - - -

C231 2 2.5 - - - - - - - - - -

C232 2 1.5 2 2 - 1.5 - - 1.5 - - 1.5

C233 2.5 2.5 2.5 2.5 2 2.5 - 1 1 - - 1

C234 2.5 2 1 2 - - - - - 1 - 2

C235 2.5 2 2 2 2 2 1 - - 2

C236 1.5 - 1 - 2 - - 2 - - 2 2

C237 2.5 2 3 2 - - - - 2.5 - - 1.5

C238 2.5 3 2.5 2 2 - 2 - - 1

C241 2 1.5 - - - - - - - -

C242 2 1.5 2 1.5 1.5 - - - - - 1.5

C243 2.5 2.5 2.5 2.5 2.5 2 2 2 - - - 1

C244 1.5 2.5 2.5 2 2.5 - - - - - -

C245 3 3 1 2 - 2 - 2 - - - -

C246 2 2 2 2 2 2 - - - - - 0.9

C247 2 - - 2.5 - - - - 2.5 1 - -

C248 3 3 - 2.5 - 2 - - 2 - - 2.5

C351 2 - - 2.5 - - 2 2 2.5 2.5 2.5 1.76




C352 1.5 2.5 1 - 2.5 1 1 - - - - -

C353 2 - 1.5 - - - 1.5 - - - - 1.5

C354 2 2 2.5 2 - - - - - - - -

C355 2 1.5 1 - - - - - - 1 - -

C356 2.5 3 3 3 2 - - - 2 - - -

C357 - 3 - 3 3 - - - - - - -

C358 - - - 3 3 - - - - - - -

C361 1.5 1.5 1.5 1.5 1.5 2 1.5 2

C362 1.5 1.5 1.5 - - - - 1 - - - -

C363 2 2 1.5 1

C364 2.5 1.5 - 1 2 - - - - 2 - 1

C365 2 1.5 1.5 2 1

C366 1.5 1.5 1.5 1.5 3 - 1.5 - - - 1 1.5

C367 2 1 1.5 2 - - - - 1.5 - - 1

C368 1.5 1.5 2 - - - - - 1.5 2

C471 2.2 2 2 2 - - - 1 1.5 1 2 2

C472 2.5 2 1 1 - - - - - - - -

C473 1.5 1.5 - - - - - - - 1 - 1.5

C474 2.5 2.5 2.5 2.5 - - - - - - 2.5 2

C475 1 2 1 - - 1 1 - - - - 1

C476 2.5 3 2.5 2 - - - - 2.5 - - 1

C477 3 3 3 3 - - - 1.5 1.5 - 1

C478 2 1.5 2.5 2.5 2 2.5 - 2 2 - - 2

C481 3 2.5 2.5 2.5 - - - - - 2.5 2.5 2.5

C482 2.5 2.5 - 2 - - - - - - - -

C483 2 2 2 - - 1 - 1 - - - -

C484 1.5 1.5 1.5 1.5 1.5 1.5 2 2 - - 1.5 2

C485 2.25 2.5 2.25 1.67 3 1.34 2 2.25 1.75 1.75 3 1

Table-1.7b: Course wise PO Attainments




Direct

Attainment 2.1 2.1 1.9 2.2 2.2 1.7 1.5 1.5 1.8 1.6 1.9 1.6

Indirect

Attainment 66 2.6 2.7 2.8 2.7 2.8 2.9 2.9 2.8 2.8 2.8 2.8

Total PO

Attainment 2.2 2.2 2.1 2.3 2.3 1.9 1.8 1.8 2.0 1.9 2.1 1.8

Table-1.8: Final PO attainment of the Programme

Table-3.8 shows the total attainment for CAY (2016-17) which is calculated as follows:

Total attainment = (0.8*Direct Attainment + 0.2*Indirect Attainment)

PSO attainments for CAY (2016-17) are recorded as shown in Table 3.9

Course PSO1 PSO2

C231 - 1

C232 1.5 1.5

C233 1 2

C234 2.5 1

C235 1.5 1

C236 2 1.5

C237 2 1.5

C238 1.5 1

C241 - 1

C242 1.5 1.5

C243 1.5 2

C244 2 1.5

C245 2 1

C246 1.5 2

C247 1.5 -

C248 3 3

C351 2 2

C352 2.5 -

C353 - 1

C354 2 1.5

C355 1 1

C356 2 2

C357 2 2

C358 - 2



Course PSO1 PSO2

C361 2 2

C362 1.5 1

C363 1.5 -

C364 1.5 1.5

C365 1.5 1.5

C366 2 2

C367 1.5 -

C368 2 1

C471 - 1.5

C472 2.4 1

C473 1 1.5

C474 - 1.5

C475 - 1

C476 2 3

C477 2 -

C478 2 2

C481 2 2

C482 1.5 1.5

C483 2 1.5

C484 1 1.5

C485 2 1

Table 1.9: Course wise PSO Attainments

Course PSO1 PSO2

Direct Attainment 1.78 1.55

Indirect Attainment 2.6 2.8

Total PSO Attainment 1.94 1.8

Table-1.10: Final PSO Attainment

Table-3.10 shows final PSO attainment which is calculated as follows

Total PSO attainment = (0.8*Direct Attainment + 0.2*Indirect Attainment)



PO AttainmentCAYm1 (2015-16)


C111 2 2.5 - - - - - - - - - -

C112 2 1.5 - - - - - - - - - -

C113 2 1.5 2 - 2 - - - - - - -

C114 2 - - - 2 - - - - 2 - 1

C115 2 - - - - 1 1 1 1 1

C116 2 1.5 1.5 2.5 - 2 - - - - - -

C117 3 - - - - - - - - - - -

C118 2 1 - - - - - - - - -

C121 2 3 - - - - - - - - - -

C122 2 1.5 - - - - - - - - -

C123 1 2 2 1 1

C124 2 - - - - - 2 - - - - 2

C125 1.5 2 - - - 1.5 1 1 - - - 1.5

C126 2 2 2 - - - - 1 - - - 1

C127 2.5 2 - - - - - - 2 - - -

C128 3 - - - - - - 1 - - - -

C231 1 1 - - - - - - - - - -

C232 2 1 2 2 - 1 - - 1 - - 1

C233 2 2 2 2 2 2 1 1 1

C234 2 1 1 2 - - - - - 1 - 1

C235 2 1 1 1 - 1 1 - 1 - - 1

C236 1 - 1 - 2 - - 2 - - 2 2

C237 2 2 2 2 - - - - 2 - - 1

C238 3 3 2 2 - 2 - - 2 - - 1

C241 3 2 - - - - - - - - - -

C242 2 - 2 2 2 2 - - - - - 2

C243 3 3 3 3 3 2 2 2 - - - 1

C244 1 2 2 2 2 - - - - - - -

C245 3 3 1 2 - 2 - 2 - - - -

C246 2 2 2 2 2 2 - - - - - 1

C247 2 - - 3 - - - - 3 1 - -

C248 3 3 2 2 2 2

C351 2 - - 2.5 - - 2 2 2.5 2.5 2.5 1.76

C352 1 2 2 2 2 2 2 1 2 2 1 2

C353 2 - 2 - - - 2 - - - - 2

C354 1 2 2 2 - - - - - - - -




C355 2 1 1 - - - - - - 1 - 1

C356 3 3 3 3 2 - - - 2 - - 1

C357 - 2 - 2 2 - - - - - - -

C358 - - - 2 2 - - - - - - -

C361 2 2 2 2 2 2 - 2 - - - 2

C362 2 2 3 - - - - 1 - - - -

C363 2 2 1 - - - - - - - - 1

C364 2 1 1 2 - - - - 2 - 1

C365 2 1 1 - 2 - - - - - - 1

C366 2 2 2 2 2 - 2 - - - 1 1

C367 2 1 3 2 - - - - 2 - - 1

C368 1 - 1 - 2 - - - - - 1 2

C471 2 2 2 2 - - - 1 1 1 2 2

C472 2 2 1 1 - - - - - - - -

C473 1 1 - - - - - - - 1 - 1

C474 2 2 2 2 - - - - - - 2 2

C475 1 2 1 - - 1 1 - - - - 1

C476 3 3 3 2 - - - - 2 - - 1

C477 3 - 3 3 3 - - - 1 1 - 1

C478 2 1 2 2 2 2 - 2 2 - - 2

C481 2 2 2 2 - - - - - 2 2 2

C482 2 2 - 2 - - - - - - - -

C483 2 2 2 - - 1 - 1 - - - -

C484 2 1 1 1 1 1 2 2 - - 1 2

C485 2.25 2.5 2.25 1.67 3 1.34 2 2.25 1.75 1.75 3 1

Table-1.11: Course wise PO attainments


Direct

Attainment 2.0 1.9 1.9 2.0 2.1 1.6 1.6 1.5 1.7 1.6 1.7 1.4

Indirect

Attainment 2.8 2.5 2.7 2.8 2.8 2.8 2.6 2.8 2.9 2.8 2.8 2.9

Total

Attainment 2.2 2.0 2.0 2.2 2.2 1.9 1.8 1.7 2.0 1.8 1.9 1.7

Table-1.12: Final PO attainment of the Programme



Course PSO1 PSO2

C231 - 1

C232 1.5 1.5

C233 1 2

C234 2 1

C235 1 1

C236 2 1

C237 2 1.5

C238 1.5 1

C241 1

C242 1.6 1.6

C243 2 2.5

C244 2 1.6

C245 2 -

C246 1.6 2.4

C247 2 -

C248 3 3

C351 2 2

C352 2 -

C353 - 1

C354 - 1

C355 - 1

C356 1 1

C357 1 1

C358 2 2

C361 1.5 1.5

C362 - 1.6

C363 2 2.5

C364 2 1

C365 1.5

C366 1.5 1.5

C367 1.6 1.6

C368 2.5 2.5

C471 - 1.5

C472 2 1.5

C473 - 1

C474 2 1



Table-1.13: Final PSO attainment of the Programme

Table-1.14: Final PSO attainment including Direct and Indirect Attainment

Table 3.11 and 3.13 shows the course wise PO attainments, PSO attainments. Also, tables 3.12 and 3.14 shows

the total/overall PO/PSO attainments. Results obtained from the above tables will be discussed in detail in the

next section with the help of charts.

Course PSO1 PSO2

C475 1 1.5

C476 - 1.5

C477 - 1

C478 1.5 2

C481 2 -

C482 2 2

C483 2 1

C484 1.6 1.6

C485 2 1

Attainments PSO1 PSO2

Direct Attainment 1.74 1.56

Indirect Attainment 2.7 2.8

PSO Attainment 1.93 1.81



SUMMARY OF PO/PSO ATTAINMENS:

Fig.1.32 and 1.33: Overall PO attained for previous 3 batches

Attainment of POs for the past 3 batches is as shown in Fig.1.32 and Fig 1.33 with the help of

column chart and line chart respectively. These figures give the summary of PO levels attained for each

batch of students as mentioned in the chart. It is observed that attained PO levels are slightly more for

0

0.5

1

1.5

2

2.5

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

PO

Le

ve

l/S

tre

ng

thOVERALL PO LEVELS ATTAINED SUMMRY FOR THE

PREVIOUS 3 BATCHES

2.2 2.22.1

2.3 2.3

1.91.8 1.8

21.9

2.1

1.8

2.2

2 2

2.2 2.2

1.91.8

1.7

2

1.81.9

1.7

2.12.2

22.1

2.2

1.81.7 1.7

2

1.7

2

1.8

0

0.5

1

1.5

2

2.5


PO

Le

ve

l/S

tre

ng

th

Programme Outcomes

OVERALL PO LEVEL ATTAINMENT FOR PREVIOUS 3BATCHES



the year 2016-17 batch students. It is concluded that by practicing OBE procedures laid by NBA we can

gradually keep increasing the attainment levels for the subsequent batches.

Fig 1.34: Overall PO attainment in terms of relative percentages

PO attainments can be measured in percentage as shown in Fig 3.34 with the help of column chart. In

this chart we use the concept of measuring POs as a relative percentage. For example, ideal average

value of PO1 which can be attained from the programme is 2.56 but attained value of PO1 for the output

batch 2016-17 is 2.2 therefore relative PO1 percentage is (2.2/2.56) *100 = 86%.

Similarly, ideal average value of PO 12 which can be attained from the programme is 1.88 but attained

value of PO 12 for the output batch 2016-17 is 1.80 in this case relative PO12 percentage is (1.80/1.88)

*100 = 96%

It is observed that relative percentage of almost all POs are greater than 80% hence programme is

strongly attained with relative PO percentage as shown in above Fig 1.34.

Also, the relative percentage of attained PSOs is greater than 80% for all the three output batches. Hence

PSOs defined by the department of mechanical engineering of the college are strongly attained.

0

20

40

60

80

100

120


PO

Rel

ati

ve

%

OVERALL PO RELATIVE PERCENTAGE FOR PREVIOUS 3

BATCHES

USN

AMC ENGINEERING COLLEGE, BENGALURU – 560 083

Department of Mechanical Engineering

III Internal Test

IV SEM BE (2018 - 19)

Course Name: Kinematics of Machines Course code: 17ME42

Max Marks: 30 Section: A & B Time: 75 Min

Answer any of the Two Full questions:

Q. No Question Marks Cos Pos/

PSO

Blooms

cognitive level

1. a

In an epicyclic gear train, the internal wheels A and B and

compound wheels C and D rotate independently about the

axis O. The wheels E and F rotate on pins fixed to the arm

G. E gears with A and C and F gears with B and D. All the

wheels have the same module and number of teeth are Tc=

28, TD=26, TE=18. 1. Sketch the arrangement 2. Find the

number of teeth on A and B. 3. If the arm G makes 100

rpm clockwise and A is fixed, find the speed of B.

15

5 1,2/2 Apply

OR

2.a

A cam rotating clockwise at uniform speed of 300 rpm operates a reciprocating follower through a roller of 1.5cm diameter. The follower motion is defined as below. a) Outward during 150° with UARM b) Dwell for next 30° with SHM c) Return during next 120° with UARM d) Dwell for the remaining period Stroke of the follower is 3cm. Draw the cam profile .Follower axis passes through the cam axis.

15

6 1,2/2

Apply

3. a

Explain i) Disc cam with oscillating follower ii) Wedge

cam with translating follower iii) Cylindrical cam with

oscillating follower. 8

+7

6 1,2/2 Understand

b Explain epicyclic gear trains and with a neat sketch

explain sun and planet gears 5 1,2/2 Understand

OR

4. a

Find the expression for minimum number of teeth on the

wheel if the interference is to be avoided between two

mating gears. 12

+3

5 1,2/2 Understand

b State the laws of gearing and define i) Path of contact

ii)Arc of contact. 5 1,2/2

Understand

CO 5. Understand the characteristics of gears and analyze various types of gear trains to determine the design

parameters like number of teeth and speed. CO 6. Analyze the motion of cams and follower.

SCHEME OF EVALUATION 2018-19

AMC ENGINEERING COLLEGE MECHANICAL ENGINEERING 11

AMC ENGINEERING COLLEGE, BENGALURU – 560083

Department of Mechanical Engineering

SCHEME AND SOLUTION FOR III INTERNALS

Course: Kinematics of Machines Subject Code: 17ME42 SEM: IV

Question

Number

Solution Marks

Allocated

1a

Assuming same module rA=2rE+rC & rB=2rF+rD

Gear Teeth Equation ZA=2ZE+ZC & ZB=2ZF+ZD

ZA= 64 ZB= 62

Table for finding the speed of the gear train

Speed Calculations

Arm G : NG= y= 100rpm , Gear A : NA=y- (ZC/ZA) x =0

y = 100rpm , x=228.57rpm , Compound gear C& D : NC/D = y + x

Gear F : NF=y- (ZD/ZF) x Gear E : NE =y- (ZC/ZE) x

Gear B : NB =y- (ZD/ZB) x NB = + 4.14 rpm

Gear B rotates with a speed of 4.14 rpm in the counter clockwise direction

04

02

04

05

(15M)

Sketch of Gear Train

Finding Gear Teeth



2a

Displacement Diagram

Cam Profile

07

08

(15M)



Question

Number

Solution Marks

Allocated

3a

3b

Disc Cam with

Oscillating follower

Disc cam is formed on a

disc, Follower will be

oscillating when the cam

is rotating about the axis.

Wedge cam with

translating follower

Wedge shape is cut on

a block and the

follower will be

translated along the

cam profile which is

stationary.

Cylindrical cam with

oscillating follower

A groove is cut into the

cylinder, which varies

along the axis of rotation.

Epicyclic gear train

Epicyclic gear train is the one in

which the axes of some of the

gears have motion. The said gear(s)

would be revolving about external

axis or axes.

Sun and planet gears

The sun and planet gear arrangement is a

type of Epicyclic gear train. As the name

suggests, the construction of this type of

gear train is similar to that of our solar

system. Most of the automatic

transmissions use this kind of gear train.

2.5

+2.5

+03

(08M)

03

+

04

(07M)



4a

Minimum number of teeth on the wheel to avoid interference between mating

gears.

In order to avoid interference, the addendum circles for the two mating gears must cut the common

tangent to the base circles between the points of tangency. The limiting condition reaches, when the

addendum circles of pinion and wheel pass through points N and M respectively.

Addendum of the pinion = Ap m = O1N- O1P

03

04

VIII SEMESTER

VISVESVARAYA TECHNOLOGICAL UNIVERSITY, BELAGAVI

CHOICE BASED CREDIT SYSTEM (CBCS)

SCHEME OF TEACHING AND EXAMINATION 2015-2016

B.E. Mechanical Engineering

Sl.

No

Subject

Code

Title

Teaching Hours /Week Examination Credits

Lecture Tutorial Practical Duration

(Hours)

SEE Marks CIE

Marks

Total

Marks

1 17ME81 Operations Research 3 2 0 03 60 40 100 4

2 17ME82 Additive Manufacturing 4 0 0 03 60 40 100 4

3 17ME83X Professional Elective - V 3 0 0 03 60 40 100 3

4 17ME84 Internship / Professional Practice Industry Oriented 03 60 40 60 40

5 17ME85 Project Phase – II - 6 - 03 60 40 200 6

6 17MES86 Seminar - 4 - - 60 40 100 1

TOTAL 10 12 - 480 320 700 20

Professional Elective-V

15ME831 Cryogenics

15ME832 Experimental Stress Analysis

15ME833 Theory of Plasticity

15ME834 Green Manufacturing

15ME835 Product life cycle management

1. Core subject: This is the course, which is to be compulsorily studied by a student as a core requirement to complete the requirement of a programme in a said discipline of

study.

2. Professional Elective: Elective relevant to chosen specialization/ branch

3. Internship / Professional Practice: To be carried out between 6th& 7th semester vacation or 7th& 8th semester vacation.

OPERATIONS RESEARCH

B.E, VIII Semester, Mechanical Engineering

[As per Choice Based Credit System (CBCS) scheme]

Course Code 17ME81 CIE Marks 40

Number of Lecture Hours/Week 04 SEE Marks 60

Total Number of Lecture Hours 50(10 Hours per Module) Exam Hours 03

Credits – 04

Course Objectives:

1. To enable the students to understand the scientific methods of providing various departments of an organization with a quantitative basis

of decision making.

2. To enable the students to understand the importance of various tools and techniques in finding optimal solutions to problems involving

limited resources in the form of Men, Materials and machinery.

Module - 1

Introduction: Evolution of OR, Definitions of OR, Scope of OR, Applications of OR, Phases in OR study. Characteristics and limitations of

OR, models used in OR, Linear Programming Problem (LPP), Generalized LPP- Formulation of problems as L.P.P. Solutions to LPP by graphical method(Two Variables).

Module - 2

LPP: Simplex method, Canonical and Standard form of LP problem, slack, surplus and artificial variables, Solutions to LPP by Simplex method,

Big-M Method and Two Phase Simplex Method, Degeneracy in LPP. Concept of Duality, writing Dual of given LPP. Solutions to L.P.P by Dual Simplex Method.

Module - 3

Transportation Problem: Formulation of transportation problem, types, initial basic feasible solution using North-West Corner rule, Vogel’s Approximation method. Optimality in Transportation problem by Modified Distribution (MODI) method. Unbalanced T.P. Maximization T.P. Degeneracy in transportation problems, application of transportation problem.

Module - 4

Network analysis: Introduction, Construction of networks, Fulkerson’s rule for numbering the nodes, AON and AOA diagrams; Critical path method to find the expected completion time of a project, determination of floats in networks, PERT networks, determining the probability of

completing a project, predicting the completion time of project; Cost analysis in networks. Crashing of networks- Problems.

Queuing Theory: Queuing systems and their characteristics, Pure-birth and Pure-death models (only equations), Kendall & Lee’s notation of Queuing, empirical queuing models – Numerical on M/M/1 and M/M/C Queuing models.

Module - 5

Game Theory: Definition, Pure Strategy problems, Saddle point, Max-Min and Min-Max criteria, Principle of Dominance, Solution of games

with Saddle point. Mixed Strategy problems. Solution of 2X2 games by Arithmetic method, Solution of 2Xn m and mX2 games by graphical method. Formulation of games.

Sequencing: Basic assumptions, Johnson’s algorithm, sequencing ‘n’ jobs on single machine using priority rules, sequencing using Johnson’s rule-‘n’ jobs on 2 machines, ‘n’ jobs on 3 machines, ‘n’ jobs on ‘m’ machines. Sequencing of2 jobs on ‘m’ machines using graphical method.

Course outcomes:

1. Understand the meaning, definitions, scope, need, phases and techniques of operations research.

2. Formulate as L.P.P and derive optimal solutions to linear programming problems by graphical method, Simplex method, Big-M

method and Dual Simplex method.

3. Formulate as Transportation and Assignment problems and derive optimum solutions for transportation, Assignment and

travelling salesman problems.

4. Solve problems on game theory for pure and mixed strategy under competitive environment.

5. Solve waiting line problems for M/M/1 and M/M/K queuing models.

6. Construct networkdiagrams and determine critical path, floats for deterministic and PERT networks including crashing of

Networks.

7. Determine minimum processing times for sequencing of n jobs-2 machines, n jobs-3machines,n jobs-m machines and 2 jobs-n

machines using Johnson’s algorithm. TEXT BOOKS:

1. Operations Research, P K Gupta and D S Hira,S. Chand and Company LTD. Publications, New Delhi – 2007

2. Operations Research, An Introduction, Seventh Edition, Hamdy A. Taha, PHI Private Limited, 2006. 3. Introduction to Operations Research, Lieberman/Nag/Basu, 9th Edition, McGraw Hill Education Pvt.Ltd.,

REFERENCE BOOKS:

1. Operations Research, Theory and Applications, Sixth Edition, J K Sharma, Trinity Press, Laxmi Publications Pvt.Ltd. 2016.

2. Operations Research, Paneerselvan, PHI

3. Operations Research, A M Natarajan, P Balasubramani, Pearson Education, 2005 4. Introduction to Operations Research, Hillier and Lieberman,8thEd., McGraw Hill

ADDITIVE MANUFACTURING


[As per Choice Based Credit System (CBCS) scheme] Course Code 17ME82 CIE Marks 40



Credits – 04

Course Objectives:

1. Understand the additive manufacturing process, polymerization and powder metallurgy process

2. Understand characterisation techniques in additive manufacturing.

3. Acquire knowledge on CNC and Automation.

Module - 1

Introduction to Additive Manufacturing: Introduction to AM, AM evolution, Distinction between AM & CNC machining, Advantages of

AM, AM process chain: Conceptualization, CAD, conversion to STL, Transfer to AM, STL file manipulation, Machine setup, build , removal

and clean up, post processing.

Classification of AM processes: Liquid polymer system, Discrete particle system, Molten material systems and Solid sheet system.

Post processing of AM parts: Support material removal, surface texture improvement, accuracy improvement, aesthetic improvement,

preparation for use as a pattern, property enhancements using non-thermal and thermal techniques.

Guidelines for process selection: Introduction, selection methods for a part, challenges of selection

AM Applications: Functional models, Pattern for investment and vacuum casting, Medical models, art models, Engineering analysis models,

Rapid tooling, new materials development, Bi-metallic parts, Re-manufacturing. Application examples for Aerospace, defence, automobile, Bio-

medical and general engineering industries.

Module - 2

System Drives and devices: Hydraulic and pneumatic motors and their features, Electrical motors AC/DC and their features Actuators: Electrical Actuators; Solenoids, Relays, Diodes, Thyristors, andTriacs. Hydraulic and Pneumatic actuators, Design of Hydraulic and

Pneumatic circuits, Piezoelectric actuators, Shape memory alloys.

Module - 3 POLYMERS & POWDER METALLURGY Basic Concepts: Introduction to Polymers used for additive manufacturing: polyamide, PF resin, polyesters etc. Classification of polymers, Concept of

functionality, Polydispersity and Molecular weight [MW], Molecular Weight Distribution [MWD] Polymer Processing: Methods of spinning for additive

manufacturing: Wet spinning, Dry spinning. Biopolymers, Compatibility issues with polymers. Moulding and casting of polymers, Polymer processing

techniques

General Concepts: Introduction and History of Powder Metallurgy (PM), Present and Future Trends of PM

Powder Production Techniques: Different Mechanical and Chemical methods, Atomisation of Powder, other emerging processes. Characterization Techniques: Particle Size & Shape Distribution, Electron Microscopy of Powder, Inter particle Friction, Compression ability, Powder

Structure, Chemical Characterization Microstructure Control in Powder: Importance of Microstructure Study, Microstructures of Powder by Different techniques.

Powder Shaping: Particle Packing Modifications, Lubricants & Binders, Powder Compaction & Process Variables, Pressure & Density Distribution during

Compaction, Isotactic Pressing, Injection Moulding, Powder Extrusion, Slip Casting, Tape Casting.

Sintering: Theory of Sintering, Sintering of Single & Mixed Phase Powder, Liquid Phase Sintering Modern Sintering Techniques, Physical & Mechanical

Properties Evaluation, Structure-Property Correlation Study, Modern Sintering techniques, Defects Analysis of Sintered Components Application of Powder Metallurgy: Filters, Tungsten Filaments, Self-Lubricating Bearings, Porous Materials, Biomaterials etc.

Module - 4 NANO MATERIALS & CHARACTERIZATION TECHNIQUES:

Introduction: Importance of Nano-technology, Emergence of Nanotechnology, Bottom-up and Top-down approaches, challenges in Nanotechnology Nano-materials Synthesis and Processing: Methods for creating Nanostructures; Processes for producing ultrafine powders- Mechanical grinding; Wet

Chemical Synthesis of Nano-materials- sol-gel process; Gas Phase synthesis of Nano-materials- Furnace, Flame assisted ultrasonic spray pyrolysis; Gas

Condensation Processing (GPC), Chemical Vapour Condensation(CVC).

Optical Microscopy - principles, Imaging Modes, Applications, Limitations.

Scanning Electron Microscopy (SEM) - principles, Imaging Modes, Applications, Limitations. Transmission Electron Microscopy (TEM) - principles,

Imaging Modes, Applications, Limitations. X- Ray Diffraction (XRD) - principles, Imaging Modes, Applications, Limitations. Scanning Probe Microscopy

(SPM) - principles, Imaging Modes, Applications, Limitations. Atomic Force Microscopy (AFM) - basic principles, instrumentation, operational modes, Applications, Limitations. Electron Probe Micro Analyzer (EPMA) - Introduction, Sample preparation, Working procedure, Applications, Limitations.

Module - 5 MANUFACTURING CONTROL AND AUTOMATION CNC technology - An overview: Introduction to NC/CNC/DNC machine tools, Classification of NC /CNC machine tools, Advantage, disadvantages of NC /CNC machine tools, Application of NC/CNC Part programming: CNC programming and introduction, Manual part programming: Basic (Drilling, milling,

turning etc.), Special part programming, Advanced part programming, Computer aided part programming (APT)

Introduction: Automation in production system principles and strategies of automation, basic Elements of an automated system. Advanced Automation

functions. Levels of Automations, introduction to automation productivity

Control Technologies in Automation: Industrial control system. Process industry vs discrete manufacturing industries. Continuous vs discrete control.

Continuous process and its forms. Other control system components.

Course outcomes:

1. Understand the different process of Additive Manufacturing. using Polymer, Powder and Nano materials manufacturing.

2. Analyse the different characterization techniques.

3. Describe the various NC, CNC machine programing and Automation techniques.

TEXT BOOKS:

1. Chua Chee Kai, Leong Kah Fai, “Rapid Prototyping: Principles & Applications”, World Scientific, 2003. 2. G Odian Principles of Polymerization, Wiley Inter science John Wiley and Sons, 4th edition, 2005

3. Mark James Jackson, Micro fabrication and Nano manufacturing, CRC Press, 2005.

4. Powder Metallurgy Technology, Cambridge International Science Publishing, 2002.

5. P. C. Angelo and R. Subramanian: Powder Metallurgy- Science, Technology and Applications, PHI, New Delhi, 2008.

6. Mikell P Groover, Automation, Production Systems and Computer Integrated Manufacturing, 3rd Edition, Prentice Hall Inc., New Delhi,

2007.

REFERENCE BOOKS: 1. Wohler's Report 2000 - Terry Wohlers - Wohler's Association -2000

2. Computer Aided Manufacturing - P.N. Rao, N.K. Tewari and T.K. Kundra Tata McGraw Hill 1999

3. Ray F. Egerton , Physical Principles of Electron Microscopy: An Introduction to TEM, SEM, and AEM , Springer, 2005.

4. P. C. Angelo and R. Subramanian: Powder Metallurgy- Science, Technology and Applications, PHI, New Delhi, 2008.

CRYOGENICS




Total Number of Lecture Hours 40( 8 Hours per Module) Exam Hours 03

Credits – 03

Course Objectives:

1. To understand cryogenic system and gas liquefaction system

2. To analyze gas cycle cryogenic refrigeration system

3. To Comprehend gas separation and gas purification system

4. To have detailed knowledge of vacuum technology, insulation, storage of cryogenic liquids 5. To study applications of cryogenics and to embark on cryogenic fluid

Module - 1

Introduction to Cryogenic Systems:

Cryogenic propellants and its applications, liquid hydrogen, liquid nitrogen, and liquid Helium The thermodynamically Ideal system Production of low temperatures – Joule Thompson Effect, Adiabatic expansion.

Gas Liquefaction Systems:

Liquefaction systems for Air Simple Linde –Hampson System, Claude System, Heylndt System, Dual pressure, Claude. Liquefaction cycle

Kapitza System. Comparison of Liquefaction Cycles Liquefaction cycle for hydrogen, helium and Neon, Critical components of

liquefactionsystems.

Module - 2

Gas Cycle Cryogenic Refrigeration Systems:

Classification of Cryo coolers, Stirling cycle Cryo – refrigerators, Ideal cycle – working principle. Schmidt’s analysis of Stirling cycle, Various configurations of Stirling cycle refrigerators, Integral piston Stirlingcryo-cooler, Free displacer split type Stirling Cryo coolers, Gifford

McmahonCryo- refrigerator, Pulse tube refrigerator, Solvay cycle refrigerator, Vuillimier refrigerator, Cryogenic regenerators.

Module - 3

Gas Separation and Gas Purification Systems Thermodynamic ideal separation system, Properties of mixtures, Principles of gas separation, Linde single column air separation. Linde double

column air separation, Argon and Neon separation systems.

Ultra Low Temperature Cryo – Refrigerators Magneto Caloric Refrigerator 3He-4He Dilution refrigerator. Pomeranchuk cooling. Measurement systems for low temperatures, Temperature

measurement at low temperatures, Resistance thermometers, Thermocouples, Thermistors, Gas Thermometry. Liquid level sensors.

Updates

Module - 4

Vacuum Technology

Vacuum Technology: Fundamental principles. Production of high vacuum, Mechanical vacuum pumps, Diffusion pumps, Cryo-pumping,

Measurement of high vacuum level. Cryogenic Insulation: Heat transfer due to conduction, Evacuated porous insulation Powder & Fibers Opacified powder insulation, Gas filled powders & Fibrous materials Multilayer super-insulation, Composite insulation.

Module - 5

Cryogenic Fluid Storage And Transfer Systems

Design of cryogenic fluid storage vessels, Inner vessel, Outer Insulation, Suspension system, Fill and drain lines. Cryogenic fluid transfer,

External pressurization, Self pressurization, Transfer pump.

Application of Cryogenic Systems Cryogenic application for food preservation – Instant Quick Freezing techniques Super conductive devices, Cryogenic applications for space

technology. Application of cryogenic systems, super conducting devices, space technology, cryogenic in biology and medicine.

Course outcomes:

On completion of this subject students will be able to:

1. To be able to understand the cryogenic system.

2. To have complete knowledge of cryogenic refrigeration system

3. To be able to design gas separation and gas purification system

4. To able to solve the problem in , insulation, storage of cryogenic liquids

5. To be able to apply cryogenic in various areas and to be able take up research in cryogenics

TEXT BOOKS

1. Cryogenic Systems – R.F. Barron

2. Cryogenic Engineering – R.B. Scott – D.VanNostrand Company, 1959

REFERENCE BOOKS

1. Cryogenic Process Engineering – K.D. Timmerhaus and T.M. Flynn, Plenum Press, New York,1989

2. High Vacuum Technology – A. Guthree – New Age International Publication

3. Experimental Techniques in Low Temperature Physics – G.K. White – Osford University Press,

EXPERIMENTAL STRESS ANALYSIS





Credits – 03

Course Objectives:

4. To understand the measurement of stain using electrical strain gauges.

5. To analyze stress and strains induced mechanical systems using electrical strain gauges.

6. To understand the photo elastic techniques to characterize the elastic behavior of solids.

7. To understand elastic behavior of solid bodies using coating techniques. 8. To apply the holography methods to measure stress and strains.

Module - 1

Introduction: Definition of terms, Calibration, Standards, Dimension and units generalized measurement system. Basic concepts in dynamic

measurements, system response, distortion, impedance matching, Analysis of experimental data, cause and types of experimental errors.

General consideration in data analysis.

Electrical Resistance Strain Gages: Strain sensitivity in metallic alloys, Gage construction, adhesives and mounting techniques, Gage

sensitivity and gage factor, Performance Characteristics, Environmental effects, Strain Gage

circuits. Potentiometer, Wheatstone’s bridges, Constant current circuits.

Module - 2

Strain Analysis Methods: Two element, three element rectangular and delta rosettes, Correction for transverse strain effects, Stress gage, Plane

shear gage, Stress intensity factor gage. Force, Torque and strain measurements: Mass balance measurement, Elastic element for force measurements, torque measurement.

Module - 3

Photoelasticity: Nature of light, Wave theory of light - optical interference, Stress optic law –effect of stressed model in plane and

circuclarpolariscopes, Isoclinics&Isochromatics, Fringe order determination Fringe multiplication techniques, Calibration photoelastic model

materials.

Two Dimensional Photoelasticity: Separation methods: Shear difference method,Analytical separation methods, Model to prototype scaling,

Properties of 2D photoelastic model materials, Materials for 2D photoelasticity.

Module - 4

Three Dimensional Photo elasticity: Stress freezing method, Scattered light photo elasticity, Scattered light as an interior analyzer and polarizer, Scattered light polariscope and stress data Analyses.

Photoelastic (Birefringent) Coatings: Birefringence coating stresses, Effects of coating thickness: Reinforcing effects,

Poission's Stress separation techniques: Oblique incidence.

Module - 5

Brittle Coatings: Coatings stresses, Crack patterns, Refrigeration techniques, Load relaxation techniques, Crack detection methods, Types of

brittle coatings and its applications.

Moire Methods: Moire fringes produced by mechanical interference. Geometrical approach, Displacement field approach to Moire fringe

analysis, Out of plane displacement measurements, Out of plane slope measurements. Applications and advantages

Course outcomes:

1. Explain and the elastic behavior of solid bodies.

2. Describe stress strain analysis of mechanical systems using electrical resistance strain gauges.

3. Understand the experimental methods of determining stresses and strains induced.

4. Apply the coating techniques to determine the stresses and strains.

TEXT BOOKS:

1. "Experimental Stress Analysis", Dally and Riley, McGraw Hill.

2. "Experimental Stress Analysis". Sadhu Singh, Khanna publisher.

REFERENCE BOOKS

1. Experimental stress Analysis, Srinath L.S tata Mc Graw Hill.

2. "PhotoelasticityVol I and Vol II, M.M.Frocht, John Wiley & sons.

3. "Photo Elastic Stress Analysis", Kuske, Albrecht & Robertson John Wiley & Sons.

4. Motion Measurement and Stress Analysis Dave and Adams

5. Holman, “Experimental Methods for Engineers” Tata McGraw Hill Companies, 7th Edition, New York, 2007

THEORY OF PLASTICITY





Credits – 03

Course Objectives:

To introduce the concepts of Plasticity and mechanism of plastic deformation in metals.

To expose the students to elasto-plastic problems involving plastic deformation of beams and bars.

To introduce the concepts of slip line field theory.

Module - 1

Briefreviewf fundamentals of elasticity:Concept of stress, stress invariants, principal Stresses,

octahedralnormalandshearstresses,sphericalanddeviatoricstress,stress transformation;concept of strain,engineeringandnaturalstrains,

octahedralstrain,deviator and spherical strain tensors, strainrateandstrainrate tensor, cubical dilation, generalized Hooke’s law, numerical

problems.

Module - 2 Plastic Deformation of Metals: Crystalline structure in metals, mechanism of plastic deformation, factors affecting plastic deformation, strain hardening,

recovery, recrystallization and grain growth, flow figures or Luder’s cubes. Yield Criteria: Introduction, yield or plasticity conditions, Von Mises and Tresca criterion, geometrical representation, yield surface, yield locus (two

dimensional stress space), experimental evidence for yield criteria, problems.

Module - 3 Stress Strain Relations:Idealised stress-strain diagrams for different material models, empirical equations,Levy-VonMises equation, Prandtl-Reuss

andSaintVenant theory, experimental verification of Saint Venant’s theory of plastic flow. Concept of plastic potential, maximum work hypothesis,

mechanical work for deforming a plastic substance.

Module - 4 Bending of Beams:Stages of plastic yielding, analysis of stresses, linear and nonlinear stress strain curve, problems.

Torsion of Bars: Introduction, plastic torsion of a circular bar, elastic perfectly plastic material, elastic work hardening of material, problems.

Module - 5 Slip Line Field Theory: Introduction, basic equations for incompressible two dimensional flows, continuity equations, stresses in conditions of plain strain,

convention for slip lines, geometry of slip line field, properties of the slip lines, construction of slip line nets.

Course outcomes:

Understand stress, strain, deformations, relation between stress and strain and plastic deformation in solids.

Understand plastic stress-strain relations and associated flow rules.

Perform stress analysis in beams and bars including Material nonlinearity.

Analyze the yielding of a material according to different yield theory for a given state of stress.

Interpret the importance of plastic deformation of metals in engineering problems

TEXT BOOKS:

1. “Theory of Plasticity”, Chakraborty, 3rd Edition Elsevier.

2. “TheoryofPlasticityand Metal formingProcess”-Sadhu Singh, KhannaPublishers, Delhi.

REFERENCE BOOKS

1. “EngineeringPlasticity-TheoryandApplicationto Metal FormingProcess” -R.A.C. Slater, McMillan PressLtd.

2. “Basic Engineering Plasticity”, DWA Rees, 1st Edition, Elsevier.

3. “Engineering Plasticity”, W. Johnson and P. B. Mellor, Van NoStrand Co. Ltd 2000

4. Advanced Mechanics of solids, L. S. Srinath, Tata Mc. Graw Hill, 2009.

Green Manufacturing B.E, VIII Semester, Mechanical Engineering




Credits – 03

Course Objectives:

Acquire a broad understanding of sustainable manufacturing, green product and process

Understand the analytical tools, techniques in green manufacturing

Understand thestructures of sustainable manufacturing, environmental and management practice.

Module - 1

Introduction to Green Manufacturing Why Green Manufacturing, Motivations and Barriers to Green Manufacturing, Environmental Impact of Manufacturing, Strategies for Green

Manufacturing.

The Social, Business, and Policy Environment for Green Manufacturing

Introduction, The Social Environment—Present Atmosphere and Challenges for Green Manufacturing, The Business Environment: Present

Atmosphere and Challenges, The Policy Environment—Present Atmosphere and Challenges for Green Manufacturing.

Module - 2

Metrics for Green Manufacturing Introduction, Overview of Currently Used Metrics, Overview of LCA Methodologies, Metrics Development Methodologies, Outlook and

Research Needs.

Green Supply Chain

Motivation and Introduction, Definition, Issues in Green Supply Chains (GSC),Techniques /Methods of Green Supply Chain, Future of Green

Supply Chain.

Module - 3

Closed-Loop Production Systems Life Cycle of Production Systems, Economic and Ecological Benefits of Closed□ Loop Systems, Machine Tools and Energy Consumption, LCA

of Machine Tools, Process Parameter Optimization, Dry Machining and Minimum Quantity Lubrication, Remanufacturing, Reuse, Approaches

for Sustainable Factory Design.

Semiconductor Manufacturing

Overview of Semiconductor Fabrication, Micro fabrication Processes, Facility Systems, Green Manufacturing in the Semiconductor Industry:

Concepts and Challenges, Use-Phase Issues with Semiconductors, Example of Analysis of Semiconductor Manufacturing.

Module - 4

Environmental Implications of Nano-manufacturing

Introduction, Nano-manufacturing Technologies, Conventional Environmental Impact of Nano-manufacturing, Unconventional Environmental

Impacts of Nano-manufacturing, Life Cycle Assessment (LCA) of Nanotechnologies.

Green Manufacturing Through Clean Energy Supply Introduction, Clean Energy Technologies, Application Potential of Clean Energy Supplying Green Manufacturing

Module - 5

Packaging and the Supply Chain: A Look at Transportation

Introduction, Background, Recommended Method to Determine Opportunities for Improved Pallet Utilization, Discussion.

Enabling Technologies for Assuring Green Manufacturing

Motivation, Process Monitoring System, Applying Sensor Flows in Decision Making: Automated Monitoring, Case Study.

Concluding Remarks and Observations about the Future Introduction, Evolution of Manufacturing, Leveraging Manufacturing, Energy of Labor.

Course outcomes:

Understand the basic design concepts, methods, tools, the key technologies and the operation of sustainable green manufacturing.

Apply the principles, techniques and methods to customize the learned generic concepts to meet the needs of a particular

industry/enterprise.

Identify the strategies for the purpose of satisfying a set of given sustainable green manufacturing requirements.

Design the rules and processes to meet the market need and the green manufacturing requirements by selecting and evaluating

suitable technical, managerial / project management and supply chain management scheme.

PRODUCT LIFE CYCLE MANAGEMENT B.E, VIII Semester, Mechanical Engineering




Credits – 03

Course Objectives:

Familiarize with various strategies of PLM

Understand the concept of product design and simulation.

Develop New product development, product structure and supporting systems

Interpret the technology forecasting and product innovation and development in business processes.

Understand product building and Product Configuration.

Module - 1

INTRODUCTION TO PLM AND PDM

Introduction to PLM, Need for PLM, opportunities and benefits of PLM, different views of PLM, components of PLM, phases of PLM, PLM

feasibility study. PLM Strategies, strategy elements, its identification, selection and implementation. Product Data Management, implementation

of PDM systems.

Module - 2

PRODUCT DESIGN

Engineering design, organization and decomposition in product design, product design process, methodical evolution in product design,

concurrent engineering, design for ‘X’ and design central development model. Strategies for recovery at end of life, recycling, human factors in

product design. Modelling and simulation in product

Module - 3

PRODUCT DEVELOPMENT

New Product Development, Structuring new product development, building decision support system, Estimating market opportunities for new

product, new product financial control, implementing new product development, market entry decision, launching and tracking new product

program. Concept of redesign of product.

Module - 4

TECHNOLOGY FORECASTING

Technological change, methods of technology forecasting, relevance trees, morphological methods, flow diagram and combining forecast of

technologies Integration of technological product innovation and product development in business processes within enterprises, methods and

tools in the innovation process according to the situation, methods and tools in the innovation process according to the situation

Module - 5

PRODUCT BUILDING AND STRUCTURES Virtual product development tools for components, machines, and manufacturing plants: 3D CAD systems, digital mock-up, model building, model analysis, production (process) planning, and product data technology, Product structures: Variant management, product configuration, material master data, product description data, Data models, Life cycles of individual items, status of items.

Scheme of Examination: Two question to be set from each module. Students have to answer five full questions, choosing at least one full question from each module.

Motivation, Process Monitoring System, Applying Sensor Flows in Decision Making: Automated Monitoring, Case Study.

Concluding Remarks and Observations about the Future Introduction, Evolution of Manufacturing, Leveraging Manufacturing, Energy of Labor.

Course outcomes:

Explain the various strategies of PLM and Product Data Management

Describe decomposition of product design and model simulation

Apply the concept of New Product Development and its structuring.

Analyze the technological forecasting and the tools in the innovation.

Apply the virtual product development and model analysis

Text Books:

1. Stark, John. Product Lifecycle Management: Paradigm for 21st Century ProductRealisation, Springer-Verlag, 2004. ISBN

1852338105

2. Fabio Giudice, Guido La Rosa, Product Design for the environment-A life cycle

approach, Taylor & Francis 2006

Reference Books:

1.. SaaksvuoriAntti / Immonen Anselmie, product Life Cycle Management Springer,Dreamtech,3-540-25731-4

2. Product Lifecycle Management, Michael Grieves, Tata McGraw Hill


18th


Industrial visit Report to National Aerospace Laboratories by VII Semester students of

Mechanical engineering

Visit to the National Aerospace Laboratories (NAL) on October 15, 2018 by the students of VII

Semester Mechanical “A” section accompanied by the following faculty members from the department of Mechanical Engineering.

1. Mr. Gangadhar S Sharma, Associate Professor

2. Mr. K.S. Rudra, Associate Professor

3. Mr. S. Gurudat, Asst. Professor

42 students and the 3 faculty members, from our college visited Belur campus of the NAL. After

completing the mandatory check-in and security clearance, our visit began immediately and we

went through the following divisions, lab facilities, fabrication units etc., as described in the below

sections.

1. Acoustic Test Facility

Our first stop of this visit was the Acoustic Test Facility (ATF) which is a part of Computational

Fluid Dynamics division of the NAL. The Acoustic Test Facility (ATF) was established under a

CSIR, NAL-ISRO MOU, in the year 1986. The 1100 cu.m. reverberation chamber-based facility

was designed by NAL. An Acoustic facility simulates, the fluctuating sound pressure field

experienced by the payload/launch vehicle during lift off and atmospheric flight in a reverberation

chamber.

Expertise

• ATF is a national test facility for acoustic environment qualification testing of satellites,

launch vehicles stages and their subsystems and can provide acoustic qualification services

for sensitive and space bound hardware.

• ATF provides noise and vibration studies for automobile and electronic equipment

manufacturers.

• ATF has expertise in turnkey design, development and commissioning of acoustic test

facilities for space craft and launch vehicle testing and has designed, built and

commissioned a 1500 cu.m facility for the ISRO at Bangalore.

Facility Features

• 1100 cu.m Reverberation Chamber in which a maximum sound pressure level of 157 dB

can be generated. Frequency Range: (25-10,000 Hz).

• Diffused sound pressure level distribution well within +/- 1dB in central 10 percent volume

inside the Reverberation Chamber.

• Free standing, 120 tons sliding concrete door for reverberation chamber with novel

inflatable seal design.

• ATF has completed more than 3000 acoustic blow downs and tested more than 100

spacecraft, launch vehicles and its sub systems till date.

2. National Trisonic Aerodynamic Facilities Division

The National Trisonic Aerodynamic Facilities (NTAF) division of CSIRNAL has been serving

the country as a nucleus of research and development in high speed aerodynamics since the

last five decades. Every Indian aerospace vehicle has graduated out of CSIR-NAL’s 1.2m x

1.2m trisonic wind tunnel. The NTAF is well known for its long and proven experience in

providing high quality vital and strategic experimental aerodynamic data required for complex

aerospace programs of the country with the unique ability to develop novel and advanced test

techniques.

Trisonic Wind Tunnel facility at NAL

3. HANSA Civil aircraft fabrication

Our next stop was witnessing the HANSA civilian aircraft fabrication facility, The Centre for Civil

Aircraft Design & Development (C-CADD) is the nodal point of CSIR-NAL, with a mandate to

play a lead role in the design and development of small and medium sized civil aircraft, optimally

utilizing the available resources. Hansa-3 is India’s first all composite light aircraft designed and developed by CSIR-NAL ideally suited for ab-initio flying training, sport and hobby flying. We

witnessed the fabrication of this light aircraft, along with the composite molding and autoclave

facilities.

4. Wind turbines and Non-conventional energy generation

As a last stop of this visit, we were taken to the NAL’s wind-turbine host facility located in the

main campus of the NAL at Kodihalli.The facility here holds a hybrid energy generation having

integration of wind and solar energy. Wind Solar hybrid system can be tested in this Field Test

Facility. Performance of the Hybrid systems can be experimentally evaluated in actual out door

environmental conditions. The Hybrid systems in the range of 2 to 10 kW can be tested. The testing

capabilities can also be extended further to accommodate a 20 kW Hybrid system.

HANSA Aircraft Non-Conventional energy generation

5. Advanced Composites Division

Advanced Composites Division (ACD) of National Aerospace Laboratories (CSIR-NAL) is a

Centre of Excellence for Composite Structures in India. ACD has been working on the Structural

Health Monitoring (SHM) of aircraft structures using Fiber Optic Sensors. The SHM group has

developed and demonstrated expertise in the field of sensor packaging, sensor installation, and

instrumentation. This group conducts tests and analyses on various coupons, elements, details, sub-

components and components across the building-block pyramid to demonstrate compliance to

airworthiness requirements.

Students of AMCEC with Mr. Soma Narayan from NAL at composite division

6. Film show on the development and progress of NAL

After witnessing the various facilities as featured above, we were engaged for a short film on

the development and growth of NAL over the last 50+ years as a leading entity in the forefront

of research in the fields of aerospace and allied fields. Later we had a short Q&A session with

Shri. Soma Narayan On behalf of our college, we thanked the NAL for hosting this visit and also

personally thanked Shri. Soma Narayan for personally accompanying us through this visit.

Students and Faculty Members at NAL

HOD

(Mechanical)


18th


INCUBATION CELL- INCUBE

Incube is a multifaceted club which concentrates on over all development of student

nurturing them in every single aspect of their career. Nurture tender brains to think original

towards inventions and discoveries. To follow new era of pedagogy to apply theories

practically to form better society and in turn better world. Probe young minds to identify

effective need statements, conceptual thinking and approach to opt apt solutions. Off the

boundaries interdisciplinary engineers should unite and work together to come up for

advanced solutions. Incubate and Assist good ideas to grow as ultimate reality.

The incube undertakes various consultancy projects catering to different walks of life

including projects serving the cause of society at large. Some of the projects executed are

purely with the intent of helping the needy and underprivileged.

Objectives

To nurture the thinking and execution abilities of students

To apply students engineering concepts and thoughts into ultimate reality of life

To design and develop innovative products to reality and also to market addressing

the right target crowd.

To nourish students ideologies and ability to think creative, out of box and unique.

To provide aid to industries organizations and needy people in society in order to

increase their productivity and serve better to nation

To provide internship opportunities for deserving students

To bring in awareness in students about the recent trends in industry.

To motivate students and faculties to transform themselves into an active researcher

To enable and facilitate the research grants provided by organizations industries and

institutions to researchers

To establish the collaborations with industries, companies, and universities for

research activities.

To Convert novel ideologies of researcher to patent in order to secure researchers

brain child’s intellectual property rights. To make students feel the ownership and motivate them to be in charge for

maintenance of center of excellence / incubation center/ consultancy activities and

additional innovative labs under constant monitoring and able guidance of incubation head.

To constantly conduct research meets and talks to enhance the knowledge and latest

trends of technology.

GO-KART

Team Greasemonkeys consisted of 17 students from various colleges. They participated in

Elite Karting EK15, a national level Go-Karting competition held at RPM International Go-

Karting Circuit, Bhopal. The team won overall 3rd

place among 168 teams nation wide, along

with Best Build Quality and Best Design Awards with a cash prize of Rs.70,000/-.

SAE Collegiate Club of AMCEC

SAE club was given a green signal by the mechanical dept on August 3rd

2016.The

recruitment procedure for SAE club members was finalized on 7th

September 2016. The 1st

round entrance was conducted on 21st Sept 2016, 28

th Sept 2016 & 5

th Oct 2016. The results

of the same was announced on 7th

Oct 2016 a meeting was conducted on 17th

Oct 2016

& wherein students were briefed about the club & its functions.

TECHNICAL RESEARCH

DATA ACQUISITION FOR DIGITAL PLOTTING OF P-θ DIAGRAM IN AN IC ENGINE:

This project is based on enhancing the knowledge about pressure inside the engine and crank

angle and how actually the graph of pressure versus crank angle looks like and displayed on

the screen with the application of sensors. The main objective of this project is to digitally

plot P-θ diagram in an IC engine.

Smart Turn Indicators:

To assist the turning process by automatically turning on the indicators if the indicators are

not manually switched on. To help minimize the number of accidents on road and ensure

road safety. To help enforce lane discipline among drivers.

Design & Development of Sustainable Bumpers using Disposable Tyres:

Tyre recycling belongs to a field of sustainable development as the recycling of used products

results in valuable raw materials that can be used for manufacturing products with a new

value. The outcome of project yields components with increased refractive ability and

possibly increases the impact force of the components which have a long life and resistant to

lower level damages.

Design and Development of Anti-Inertia Seats:

The main objective is to nullify inertia acting on a body and to provide better comfort by

avoiding motion sickness, nausea or dizziness. The system will reduce the inertia acting on

the passenger up to an extent and reduce vibration which provides comfort to the passenger in

the long run.

Prosthetic Limb:

This product is for obese people to reduce excessive amount of body weight acting on their

knees. This acts a supportive add-on to reduce pain and help obese people walk without much

strain.

Question Paper Counting Machine:

To reduce tiring job for teachers of manually counting the number of question papers to be

sent to each exam hall, this system counts and separates question papers according to the

count.

Blue Book Counting Machine:

To reduce tiring job for teachers of manually counting the number of Blue Books to be sent

to each exam hall, this system counts and separates Blue Book according to the count.

Adjustable Trolley:

This is a system that helps in reducing the burden of carrying blue books , records, data

handbooks and other books by placing them on the adjustable trolley which can be adjusted

to any size and height according to the requirement. It has a maximum capacity of 400kg.

Pedicle Screw Implant:

To automate the pedicle screw implantment in the Lumbar region without puncturing the

disc. The project is about to implant a screw with the help of image processing and rack and

pinion mechanism.

Pick a Brick:

In a matrix of order specified by the user, there will be blocks of colours generated by the

program randomly. During randomness, it happen so that two or more colours will appear

consecutively. So if the user wants to change the colour of a particular position in the matrix

it can be done by specifying the colour code and the co-ordinates.

Timetable Generator:

Using the concept of Pick a Brick project, Time Table generator was developed. To generate

the Time Table for classes of a semester and for Teachers.. After getting the user input, the

program generates a matrix of order number working days in week by number of classes per

day with random numbers depending on the number of subjects.

Doorstep(Citizen Services Website):

A mobile responsive website was developed to tackle problems faced by citizens. This

website notifies the government about problems coming under the boundaries of Bangalore

that includes BESCOM, BWSSB, Pollution Control Board, BDA, Police, Senior Citizen &

Child Help, Forest Department and Human Welfare.

Heart Attack Detector:

Monitoring patients pulse, sweat, temperature and dizziness level to detect early signs of

heart attack. And if any mishap might occur there will be a alert message sent to the patience

emergency contact/s about the patient’s condition and current or recent location of the patient.

Projection of Solids:

The program generates the necessary outline of shape required for development of cone and

prism in the workshop lab based on the input criteria. The students can take a printout and

paste it on the sheet metal and can start developing the required development.

Gratitude(Blood Donation Website):

This is web application that helps users to find required blood groups in the user defined

locations. And also a automated message will be sent to the registered donor phone number

and also email about the requirement of the blood and the receiver details.

GRAFFITI CLUB

Incube graffiti club intends to imbibe revolutionary art culture in students to convey ethical

values to society through creative paintings. This brings integrity among the students and

artists of all branches and thus feel the ownership of the college campus to reform it into

creative asset.

ART CLUB

Artist always sees something which world fails to see, how about a group of artists ? incube

art team will always be waiting to add up a tinge of creativity to every event in all aspect

possible. They are extended support to provide props, costumes, backdrops to theatre teams

for any event.

MIME

The Mime Team of AMCEC enacted a play about Dopamine & its variouseffects to the

human mind.

STRING ART

String Art(Paramahamsa)

Achievements of INCUBE Students

Represented KSCST at IISc open day.

Represented KSCST best project at NMKRV College on 11th

annual conference of

KSTA and DST 2019

Winners of Prerana 2.0 Project exhibition

Winners of Prerana 2.0 Paper presentation

Runners up of coding event at state level ISTE students conference.

Runners up of MECHANISMO at state level ISTE students conference.

represented amc in National level motorsports event called Pocket Bike at MVJCE.

Runners up in National Biomedical Research Poster Presentation AIIMS, Rishikesh

Secured 6th place in National Biomedical Research Paper Presentation at AIIMS,

Rishikesh

runners up in hackathon at Christ University.

runners up in state level coding event at IMPULSE organized by OXFORD

Engineering College.

represented amc in national level project presentation event organized by PESIT

South campus, IEEE student chapter.

Presented and published a research paper at International Conference on Recent

Advances in Engineering Sciences, at MSRIT College

Represented amc in project presentation at DrAmbedkar institute of Technology

represented amc in project presentation at SSIT, Tumkur

Been a part of following Products developed in incube

8 stroke engine

Crash alert system for two wheelers

Time table generator

Prior Heart attack detector

Electro magnetic stent

Pocket bike

P theta instrument

Anti inertiaseatings

Door step app

Incube website

Commercialization ready products

Advanced automated prosthetic limb in association with iisc

Crash analytics for two wheelers

Prior heart attack detector

8stroke engine

Patents applied

201941002450 - An Efficient Pedicle Probe

201941010607 - A Method and Device for Efficient Probing in Bone Region

201941011020 - "Economical Crossover of Bionic Limb and Prosthetics

315854-001 - Gokart

318797-001 - Mini street bike chassis

318796-001 - Mini chopper bike chassis

Patents Granted

315854-002 - Hybrid Tricycle Frame

Consultancy Projects designed and developed

Copper Key - web and app development for event management company

Lavaru - art gallery e-commerce website

Aquarelle - 3x automation aid for global MNC industry

Aspire - a college fest registration portal for Dayanandsagar college


18th


PRODUCT DESIGN STUDIO

The product design studio is an innovative thinking of the team. Energy and passion drives

pushed the envelope to create cutting edge designs with the aim of approaching clients across

several industries. It’s young team’s persistent attempt to create innovative design solutions that

work for clients and helps them succeed.

Product design Studio aim to be a force to reckon with on the global platform and showcase

work that acts as a true catalyst in the success of future clients and the concept follow a simple

process of 3 steps- Analyze, Create, Develop. During Analysis we get a good understanding of

our end users, target market and competitors. Which helps us in understanding what to achieve at

the end before beginning. Based on that analysis we start to ideate and brainstorm small ideas

which eventually are converted to complete concepts. In the development phase we take the

concepts and bring them to life in the world of 3D.

Project laboratory

Product Design Studio consists of

Drafting Boards: It is the one where the student’s ideas will be penned to pursue the

existence towards the reality with respect to end user need.

Light Boxes

This is where the ideas of unregistered sculpture will be traced and reworked with respect

to design modification

Light boxes

Master drafting Table

Once the ideas have passed through the initial stages the final scrutinizing and combination of

design for the creation of sculpture will be done on the master drafting.

Master drafting Table

Clay modeling work benches

Clay modeling is the realization phase of two dimensional concepts to 3 dimensional contours.

Polymer clay of industrial standards are used and clay modeling is done as per scale realized in

drafting of concepts.

Clay modeling work benches


18th


DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

INNOTRONICS LAB

INNOTRONICS- is Innovative Electronics Lab. In INNOTRONICS students implement their

project ideas and also they do projects based on Application of curriculum under the guidance of

faculties having in depth knowledge of respective domain. A separate room has been allocated for

INNOTRONICS Lab, where students can do their projects in their convenient time. Lab also has

manual of sample projects with all details required to implement. Also student to student

coordination environment has been created to share their knowledge with remaining students,

which in turn helps to improve their personal skills.

Objectives:

A) To provide all resources to students to implement the projects. Resources such as

i) Softwares required to simulate the projects

ii) Hardwares required to implement the simulated projects

B) To conduct workshops on different domains such as

i) Image processing

ii) Audio processing

iii) Antenna design

iv) Networking

v) IOT

And encourage students do projects on each domain

C) To conduct project exhibition and paper presentation events to explore students talent.

D) To provide internship to students in domain of their interest.

E) To develop an inter-disciplinary environment among students to convert projects to real

time modules which are helpful to society

MoU with Industry:

Electronics and communication department has MoU with ATSSL (Advanced technologies for

smarter and Secured life), where INNOTRONICS Research Lab plays major role in conducting

academia-industry collaborative activities

Current progress:

One week IOT workshop has been conducted from 8thOct to 14th Oct 2017. Certificates

have been issued to students based on performance in the Test conducted at the end of

session.

College level conference has been conducted on 15/9/2017 on occasion of Engineers Day.

Where students have participated with their projects and presented papers.

15 days internship/Workshop program has been conducted from 13th Jan 2018 to 29th Jan

2018 on IoT and Image processing

Two Days workshop on IoT for First year students has been conducted from Feb 23rd to

24th 2018

Three day Workshop on IoT for 2nd and third year students has been conducted from March

23rd to March 25th 2018.

28 Days internship program has been conducted from 9th July 2018 to 4th August 2018 on

IoT and Image processing

One day National Level Technical Symposium has been organized on 2nd November 2018

in Department of ECE Under ISTE Banner, AMC Engineering College Bengaluru

Workshop/internship program has been conducted from 17th Jan 2019 to 10th March 2019

on Fundamentals of Machine Learning( Audio processing & image processing)

Workshop/Internship program has been conducted from 6th July 2019 to 11th August 2019

on IoT and Machine learning( Image processing & Speech processing)

Faculty Coordinator: Kiran Anil Chikodi

College website URL: http://www.amcgroup.edu.in/AMCEC/innotronics.php

Face book page link: https://www.facebook.com/InnoTronic-1241170465982893/

http://www.amcgroup.edu.in/AMCEC/innotronics.php

http://www.amcgroup.edu.in/AMCEC/innotronics.php

https://www.facebook.com/InnoTronic-1241170465982893/




EMpiRIA

EMpiRIA-technical team was started in the year

2014 with its four members.This team aimed at

educating students about the existing technolo-

gies and helping them to implement their ideas.So

far this team has been successful in conducting

eight workshops on raspberry pi & seven academic

projects.EMpiRIA club has been formed to encour-

age the students with interest to gain knowledge.

Projects under EMpiRIA

Final Year B.E Batch of 2013-2014

LOW-COST, LOW-POWER DIS-TRIBUTED NETWORK MODEL FORAUTOMATED TRACKING SYSTEMThe objective of this project is to or-ganize and present a tracking systemfor an institution or an organizationhelping in attendance maintenanceand also include much more func-tionalities helping in tracking theemployees of that institution at anyinstant. The tracking of the iden-tity depends on the working of thesensor nodes embedded in a partic-ular device which a person shouldkeep with him wherever he com-mutes within the specified range (fore.g.: ID card) and this will be a mov-ing/mobile sensor node. This projectgives an efficient monitoring systemwith additional functionalities such

as present status of an individual ofthe institution.

This project addresses the issues,disadvantages of the primitive sys-tems for tracking and an applica-tion oriented attendance manage-ment system. This project is simu-lated in the first phase using theavailable routing protocols. With thisproject implemented, there will bea change in the outset of applyingany technology according to its ef-ficiency and reliability. This trackingsystem proves to be working effi-ciently, cost-effective and with low-power features. This model is scal-able infinitely and can prove the ex-tensibility of the application. Variousapplications of this project include

• Monitoring doctors in a hospi-tal environment

• Monitoring officials in a gov-ernment office scenario

• Monitoring students/faculty inan educational institution

This project under EMpiRIA wasdone by Ashwath K Maiya, RekhaG and Shreyas Ananth A under theguidance of Mr.Chetan Adhikary.

Final Year B.E Batch of 2014-2015

Automated Utility Replacementand MaintenanceThe target of this project is to im-plement the concept of Internet ofThings(IoT). IoT in simple terms isthe ability of smart devices connect-ing to the Internet and forming aglobal network. Sensors located inthe remote areas update their statusto the distant servers. These sen-sors can be monitored from any cor-ner of the world using Web-pages.

DEPARTMENT OF ELECTRONICS AND COMMUNICATION AMCEC

The domain of this project is HomeAutomation and the IoT paradigmis implemented by demonstratingthe example of automatic LPG refillbooking. The load sensor value istransmitted wirelessly using XBeesto the server(Raspberry Pi). Thesevalues are monitored locally throughthe GUI display on the monitor(orTelevision). Further, the user is privi-leged to globally access these valuesthrough the User Portal on the web-pages.

The project gives a paradigm ofIoT. This gives the insight on inter-operating protocols to realize the IoT.The features of this project are

• Wireless sensor network isformed to get the sensor valuesin Ad-hoc fashion.

• A “Graphical User Interface” iscreated for off-line data view-ing.

• A client server model is createdusing Raspberry Pi. The Rasp-berry Pi forms the server for theproject.

• Web pages are created in PHPfor global sharing.

• Automation features is in-cluded assisting the user in util-ity replacement.

This project was done by Amrutha N,Karishma K, Maya Ravichandran andMeghashree K M under the guidanceof Mr.Chetan Adhikary.

Implementation of HammingCodes and Convolution Codes inSimulinkThe purpose of this project was toreduce the errors are introduced indata, when the data is being trans-mitted into channel. These errors can

be minimized by using effective chan-nel coding techniques. Hamming andConvolution Codes were considered.Hamming Code is an error-correctioncode that can be used to detect sin-gle and double-bit errors and correctsingle-bit errors that can occur whenbinary data is transmitted from onedevice into another. Error-correctingconvolution codes provide a provenmechanism to limit the effects ofnoise in digital data transmission.The project involved the implemen-tation of Hamming and ConvolutionCodes in Simulink. The simulationhelps in estimating the system per-formance. These results were plot-ted using BER Tool and models con-structed in Simulink.

Final Year B.E Batch of 2015-2016Cognitive Approach to Au-tonomous Guiding System

This project aims at reducing manpower and provide a self-helping en-vironment. It creates an autonomoussystem which is well aware of theenvironment and where its serviceis needed. This prototype will betailored to help people to navigateto the desired location, with mini-mal efforts. Cognitive robot proposedcan serve the purpose of an intelli-gent guidance device as it not onlymonitors the target area,but can alsorespond in the case of emergency.The main features of this robot areremote navigation, connectivity tothe Internet and a large variety ofapplications which includes sensorsfor advanced features.

Cognitive environment for therobot is created using Adhoc net-work,which makes it not only easilydeployable but for minimal cost. Thesetting up of the network is done bythe powering up few nodes easilyconfigured to suit the environmentof deployment. A Graphical User In-terface (GUI) is created for maneu-vering the robot manually in the de-ployed area. This makes it more userfriendly with the absence of com-plex instructions. A feature wherethe robot being controlled remotelyis added using client-sever model.Raspberry pi is configured to be-come the server which is remotelyaccessed by logging into a website.The website is created using PHP forglobal access. The network modeldesigned for this project,guides therobot to reach different destinationsinside the deployed area without anyhuman interference. The need of hu-man involvement would be in merelyselecting the destination of his choiceafter which the robot will be guidedby the cognitive network to reach thedestination. The location of the robotcan be monitored by logging into thewebsite which is created using PHP.This project was done by Shrig-anesh Hegde, Shubha J, Swathi Rand Varsha M under the guidance ofMr.Chetan Adhikary.

Faster Real Time Data Transferusing XMPP

This projects aims to develop afaster network systems wherein theinformation(image, audio, video) ex-change can take place in fraction ofseconds. The delay in exchange ofthe information can be reduced byusing XMPP systems. When an ac-cess for a particular information ofa room is requested by the client,the Raspberry Pi camera will first


capture the image. The processingof the captured image is done usingPython. The image is then comparedwith the database provided. Throughthe Raspberry Pi which is installedwith XMPP server, the information isprovided to the client.

This project aims at provided afaster system for information ex-change wherein no delay is involvedat the time of communication. Thespecifications of our project is

• A Distributed system has beencreated wherein we have cre-ated our own XMPP Server andour own XMPP Client. Rasp-berry Pi is configured as anXMPP Server and also as anXMPP Client.

• Client-Server connection is es-tablished wherein client getsthe necessary information fromthe server.

• The buffering which would bepresent in a traditional client-server system is completelyeliminated by using XMPP com-munication system.

• It even allows faster multime-dia file transfer between twoXMPP Client.

This project was done by Pooja MKrishnapur, Shruthi M and Vasuki MR under the guidance of Mr.ChetanAdhikary.

Low Cost, Low Power OutdoorTracking System in Heath Care Do-main

This project intends to providerelative location of the doctor at crit-ical times with minimum time in-volved in tracking him/her.The AD-

HOC technology that we are imple-menting in our project provides exactposition of the person even whenhe/she changes his position fromone room to the other. This track-ing system involves a microcontrollerMSP430, a Raspberry-Pi module andXbee modules that forms a remotemonitoring system. This method oftracking is maintenance free. It doesnot involve setting up of towers forcentralized network and hence thecost for setting it up is minimal.

This technology will involve thetechnique of locally tracking the doc-tor and updating the position of thedoctor to the internet. With simplesecurity attributes the patients or thehelpers at hospital can look up the in-formation and the same can be con-veyed to patients. The system wouldbe a mobile node compact enough tofit inside an ID card. The premiseswould be made smart enough withthe help of minimum number of sta-tionary nodes making it possible totrack/locate the doctor. Hence as de-scribed earlier tracking of doctorsbecome efficient and with increasedconvenience the patients can con-sult the doctor without any delayduring emergencies. Thus an auto-mated location aided system will bedeveloped. The final product is a mo-bile node that has low cost and lowpower features and is a small devicethat is easily portable from one placeto another. The global connectivity isgreatly extended. It is a light weightdevice and hence there will not beany difficulty involved in carrying itaround.This project was done by Anirudh NNavada, Karthik S N and Shreyas HB under the guidance of Mr.ChetanAdhikary.

IoT Paradigm for Vehicle Assis-tance

The intention of this project isto build a prototype model of IoTparadigm in vehicle assistance. Itaims on overcoming the problemfaced in vehicle due to engine andthe electronic circuit problem. Theproblems in the vehicle can be van-quished at an earlier stage. Further,the assistance from the service sta-tion for the problem in the vehiclecan be obtained. The project inte-grates GSM and GPS module thusenabling us with real time data formonitoring the ECU.

This project gives a paradigm ofIoT. The features of the project are asfollows

• Integration of I2C protocol andIPv4 protocol.

• A client server model is createdusing Raspberry Pi. The Rasp-berry Pi along with the sensornetwork and GPS tracker formsthe user-end for the project.

• Web pages are created in PHPfor global remote monitoring.

• A âAZGraphical User Inter-faceâAZ is created in PHP forglobal remote control.

• Automation features is in-cluded to assist the user forthe diagnosed fault in the vehi-cle.


This project was done by SpoorthiJain B N,Subashree K and YasaswiniS under the guidance of Mr.ChetanAdhikary.

Workshops conducted

The workshop was aimed atbuilding in-house projects.The work-shop included introducing the stu-dents and faculties with basic sensorsinterfacing using Raspberry-Pi andGUI development using python (Tk-inter module). Participants furtherimplemented a decentralized wire-less network(Ad-Hoc) using XBees.

The wirelessly transmitted data wereaccessed using Web pages that weredeveloped using PHP. The workshopthus ensure that each participant isproficient in implementing the IoTparadigm.

• Two Day Hands-On Workshopon Raspberry-Pi held on 20-21Feb 2015 for ECE Department,AMC Engineering College

• Two Day Hands-On Workshopon Raspberry-Pi held on 27-28Feb 2015 for CSE Department,AMC Engineering College

• FDP on Raspberry-Pi held on15-16 July 2015 for City Engi-neering College

• Two Day Hands-On Workshopon Raspberry-Pi held on 22-23July 2015 for ECE DepartmentFaculty, AMC Engineering Col-lege

• Two Day Hands-On Workshopon Raspberry-Pi held on 24-25July 2015 for CSE DepartmentFaculty, AMC Engineering Col-lege

• Two Day Hands-On Workshopon Raspberry-Pi held on 20Sept 2015 B.M.S College of En-gineering

• EMpiRIA Jam Event 2016 heldon 20-23 Jan 2016:The work-shop was an inter college eventin which students from morethan 10 colleges participated.The Four Days event made eachparticipant explore the capabil-ities of Raspberry Pi. Newerconcepts incorporated duringthis workshop included LaTEX,SymPY, NS-2 and Robotics.


EMpiRIA Meet 2016

Empiria club was started with the vision of extending arms for the enthusiastic and interested students of AMC

Engineering college for their urge to grab the knowledge of the existing technologies.EMpiRIA-technical team

continued its endevour in training students to develop skills required for desiging their own projects.Several

online courses and hands-on training on arduino and raspberry pi was taken up. Interested students number

increased and more weightage was given on learing new technologies, open source softwares, discussion on

emerging technologies.

In this club there are about fifty students who have registered.So far there were two meetings held for the

students. Here the students learn about python language, basics of arduino and basic electronic circuits.

There are further plans of extending the topics once the students are thorough with basics.

Objectives

Objectives of the empiria club would be making students train them in following fields

• Open source languages and softwares

• Designing and building the circuits.

• Develop programming langauge skills

• Interface sensors and I/O devices

• Design their projects with microcontroller boards


APRIL 2018, NO 1

EMpiRIA Club

Things we take-off

Python programming: Python is a widely used high-level, general-purpose, interpreted, dynamic programming lan-

guage.Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer

lines of code than possible in languages such as C++ or Java.The language provides constructs intended to enable writing

clear programs on both a small and large scale.

Arduino: Arduino is an open-source project that created microcontroller-based kits for building digital devices and inter-

active objects that can sense and control physical devices.

Analog circuits: Most of the fundamental electronic components âAS resistors, capacitors, inductors, diodes, transistors,

and operational amplifiers âAS are all inherently analog. Circuits built with a combination of solely these components

are usually analog.

Basics of Python

Python is an optimized lan-guage for the reasons: software qual-ity,developer productivity,programportability,component integrationand packages. It is widely usedi areas such as internet script-ing,system programming,user in-terfaces,product customization andnumeric programming. Pythonis counted among current userbase;google,youtube,industriallights and magic,ESRI,NASA’S JetPropulsion Lab,the game eve on-line,National Weather Service.Python is a high level language whichuses simple,readable and maintain-able syntax.Further advantage of thislanguage is that dependency on pun-tuation is avoided.Python is a high level interpretedlanguage supporting the executionof the program before compilation.Itcan also be processed at runtime by

the interpreter. Python is a high levelinterpreted object-oriented script-ing language.It supports techniqueof programming that encapsulatescode within objects.Also supportsfunctional and structured program-ming.Allows integration with exter-nal components coded in other lan-guages.IDLE GUI is the integrated develop-ment environment (IDE) used forpython.An integrated developmentenvironment (IDE) is a software ap-plication that provides comprehen-sive facilities to computer program-mers for software development.IDLEhas two windows namely promptwindow and editor window.Theprompt window is also called as thepython shell where in the programare edited.

Arduino basics

Arduino is an open-source com-puter hardware and software com-pany, project and user commu-nity that designs and manufacturesmicrocontroller-based kits for build-ing digital devices and interactive ob-jects that can sense and control ob-jects in the physical world.The open-source Arduino Software(IDE) makes it easy to write codeand upload it to the board. It runson Windows, Mac OS X, and Linux.The environment is written in Javaand based on Processing and otheropen-source software which also sup-ports the languages C and C++.This software can be used with anyArduino board. These systems pro-vide sets of digital and analog in-put/output (I/O) pins that can in-terface to various expansion boards(termed shields) and other circuits.The boards feature serial communi-cation interfaces, including UniversalSerial Bus (USB) on some models, forloading programs from personal com-puters.


LDR Circuit

An LDR is a component that hasa (variable) resistance that changeswith the light intensity that falls uponit. This allows them to be used in lightsensing circuits. They are also calledas photo conductors, photo conduc-tive cells or simply photocells. Theyare made up of semiconductor mate-rials having high resistance.A light dependent resistor works onthe principle of photo conductivity.Photo conductivity is an optical phe-nomenon in which the materials con-ductivity is increased when light isabsorbed by the material.When light falls i.e. when the pho-tons fall on the device, the electronsin the valence band of the semicon-ductor material are excited to theconduction band. These photons inthe incident light should have en-ergy greater than the band gap of thesemiconductor material to make theelectrons jump from the valence bandto the conduction band. Hence whenlight having enough energy strikeson the device, more and more elec-trons are excited to the conductionband which results in large numberof charge carriers. The result of thisprocess is more and more currentstarts flowing throgh the device whenthe circuit is closed and hence it issaid that the resistance of the devicehas been decreased.

Voltage Level IndicatorCircuit

Voltage Level Indicator is one ofthe applications of BJTs.This includesthree elements : the transistor, theZener diode, and the LED.The volt-age level indicator is a relatively sim-ple network using a LED to indicatewhen the source voltage is close toits monitoring level of 9V.The poten-tiometer is set to establish 5.4V at thepoint indicated. The result is suffi-cient voltage to turn on both the 4.7-V Zener and transistor and establisha collector current through the LEDsufficient in magnitude to turn on theLED.The Zener effect is a type of electri-cal breakdown. It occurs in a reversebiased p-n diode when the electricfield enables tunneling of electronsfrom the valence to the conductionband of a semiconductor, leading toa large number of free minority car-riers which suddenly increase the re-verse current.Once the potentiometer is set, theLED will emit the light as long as thesupply voltage is near 9V. However, ifthe terminal voltage of the 9V batteryshould decrease, the voltage set up

by the voltage-divider network maydrop to 5V from 5.4V.At 5V there isinsufficient voltage to turn on boththe Zener and the transistor will be inthe "off" state. The LED will immedi-ately turn off, revealing that the sup-ply voltage has dropped below 9V orthat the power source has been dis-connected.

LED Circuit

The circuit must provide sufficientcurrent to light the LED at the re-quired brightness, but must limit thecurrent to prevent damaging the LED.The voltage drop across an LED isapproximately constant over a widerange of operating current; therefore,a small increase in applied voltagegreatly increases the current.An LED has a voltage drop speci-fied at the intended operating cur-rent. Ohm’s law and Kirchhoff’s cir-cuit laws are used to calculate theappropriate resistor value to obtainthe desired current. The value is com-puted by subtracting the LED voltagedrop from the supply voltage, and di-viding by the desired operating cur-rent. If the supply voltage is equal tothe LED’s voltage drop, no resistor isneeded.This basic circuit is used in a widerange of applications, including manyconsumer appliances such as mobilephone chargers.


Low Cost, Low Power, DistributedNetwork Model For The Automated

Tracking System

Year of Completion : 2014

No.of Students :3

Student Name :Ashwath K Maiya, Rekha G, Shreyas Ananth A.

This project addresses the issues, disadvantages of the primitive systems for

tracking and an application oriented attendance management system. This project

is simulated in the first phase using the available routing protocols. With this

project implemented, there will be a change in the outset of applying any tech-

nology according to its efficiency and reliability. This tracking system proves to

be working efficiently, cost-effective and with low-power features. This model

is scalable infinitely and can prove the extensibility of the application. Various

applications of this project include

• Monitoring doctors in a hospital environment

• Monitoring officials in a government office scenario

• Monitoring students/faculty in an educational institution


Automated Utility Replacement andMaintenance

The target of this project is to implement the concept of Internet of Things(IoT). IoT in simple terms is the

ability of smart devices connecting to the Internet and forming a global network. Sensors located in the remote

areas update their status to the distant servers. These sensors can be monitored from any corner of the world

using Web-pages. The domain of this project is Home Automation and the IoT paradigm is implemented by

demonstrating the example of automatic LPG refill booking. The load sensor value is transmitted wirelessly

using XBees to the server(Raspberry Pi). These values are monitored locally through the GUI display on the

monitor(or Television). Further, the user is privileged to globally access these values through the User Portal

on the web-pages.


No.of Students :4

Student Name :Amrutha N, Karishma K, Maya Ravichandran, Meghashree K M.

The project gives a paradigm of IoT. This gives the insight on inter-operating

protocols to realize the IoT. The features of this project are

• Wireless sensor network is formed to get the sensor values in Ad-hoc fashion.

• A “Graphical User Interface” is created for off-line data viewing.

• A client server model is created using Raspberry Pi. The Raspberry Pi forms

the server for the project.

• Web pages are created in PHP for global sharing.

• Automation features is included assisting the user in utility replacement.


Implementation of Hamming Codesand Convolution Codes in Simulink

The purpose of this project was to reduce the errors are introduced in data, when the data is being transmitted

into channel. These errors can be minimized by using effective channel coding techniques. Hamming and

Convolution Codes were considered.


No.of Students :3

Student Name :Manoj, Shreedhar Sai E V, Tushara.

Hamming Code is an error-correction code that can be used to detect single and

double-bit errors and correct single-bit errors that can occur when binary data is

transmitted from one device into another. Error-correcting convolution codes pro-

vide a proven mechanism to limit the effects of noise in digital data transmission.

The project involved the implementation of Hamming and Convolution Codes in

Simulink. The simulation helps in estimating the system performance. These re-

sults were plotted using BER Tool and models constructed in Simulink.


Fast Real Time Data Transfer usingXMPP

This projects aims to develop a faster network systems wherein the information(image, audio, video) ex-

change can take place in fraction of seconds. The delay in exchange of the information can be reduced by

using XMPP systems. When an access for a particular information of a room is requested by the client, the

Raspberry Pi camera will first capture the image. The processing of the captured image is done using Python.

The image is then compared with the database provided. Through the Raspberry Pi which is installed with

XMPP server, the information is provided to the client.


No.of Students :3

Student Name :Pooja M Krishnnapur, Shruthi M, Vasuki M R.

This project aims at provided a faster system for information exchange wherein

no delay is involved at the time of communication. The specifications of our

project is

• A Distributed system has been created wherein we have created our own

XMPP Server and our own XMPP Client. Raspberry Pi is configured as an

XMPP Server and also as an XMPP Client.

• Client-Server connection is established wherein client gets the necessary in-

formation from the server.


• The buffering which would be present in a traditional client-server system is

completely eliminated by using XMPP communication system.

• It even allows faster multimedia file transfer between two XMPP Client.


Low Cost, Low Power OutdoorTracking System in Health Care

Domain

This project intends to provide relative location of the doctor at critical times with minimum time involved in

tracking him/her.The ADHOC technology that we are implementing in our project provides exact position of

the person even when he/she changes his position from one room to the other. This tracking system involves a

microcontroller MSP430, a Raspberry-Pi module and Xbee modules that forms a remote monitoring system.

This method of tracking is maintenance free. It does not involve setting up of towers for centralized network

and hence the cost for setting it up is minimal.


No.of Students :3

Student Name :Anirudh N Navada, Karthik S N, Shreyas H B.

This technology will involve the technique of locally tracking the doctor and

updating the position of the doctor to the internet. With simple security attributes

the patients or the helpers at hospital can look up the information and the same

can be conveyed to patients. The system would be a mobile node compact enough

to fit inside an ID card. The premises would be made smart enough with the help

of minimum number of stationary nodes making it possible to track/locate the

doctor. Hence as described earlier tracking of doctors become efficient and with

increased convenience the patients can consult the doctor without any delay dur-

ing emergencies. Thus an automated location aided system will be developed.


The final product is a mobile node that has low cost and low power features and

is a small device that is easily portable from one place to another. The global

connectivity is greatly extended. It is a light weight device and hence there will

not be any difficulty involved in carrying it around.


Cognitive Approach forAutonomous Guidance System

This project aims at reducing man power and provide a self-helping environment. It creates an autonomous

system which is well aware of the environment and where its service is needed. This prototype will be tailored

to help people to navigate to the desired location, with minimal efforts. Cognitive robot proposed can serve

the purpose of an intelligent guidance device as it not only monitors the target area,but can also respond in

the case of emergency. The main features of this robot are remote navigation, connectivity to the Internet and

a large variety of applications which includes sensors for advanced features.


No.of Students :4

Student Name :Shriganesh Hegde, Shubha J, Swathi R, Varsha M.

Cognitive environment for the robot is created using Adhoc network,which

makes it not only easily deployable but for minimal cost. The setting up of the

network is done by the powering up few nodes easily configured to suit the envi-

ronment of deployment. A Graphical User Interface (GUI) is created for maneu-

vering the robot manually in the deployed area. This makes it more user friendly

with the absence of complex instructions. A feature where the robot being con-

trolled remotely is added using client-sever model. Raspberry pi is configured to


become the server which is remotely accessed by logging into a website. The web-

site is created using PHP for global access. The network model designed for this

project,guides the robot to reach different destinations inside the deployed area

without any human interference. The need of human involvement would be in

merely selecting the destination of his choice after which the robot will be guided

by the cognitive network to reach the destination. The location of the robot can

be monitored by logging into the website which is created using PHP.


IoT Paradigm for Vehicle Assistance

The intention of this project is to build a prototype model of IoT paradigm in vehicle assistance. It aims on

overcoming the problem faced in vehicle due to engine and the electronic circuit problem. The problems in the

vehicle can be vanquished at an earlier stage. Further, the assistance from the service station for the problem

in the vehicle can be obtained. The project integrates GSM and GPS module thus enabling us with real time

data for monitoring the ECU.


No.of Students :3

Student Name :Spoorthi Jain B N, Subashree K, Yasaswini S.

This project gives a paradigm of IoT. The features of the project are as follows

• Integration of I2C protocol and IPv4 protocol.

• A client server model is created using Raspberry Pi. The Raspberry Pi along

with the sensor network and GPS tracker forms the user-end for the project.

• Web pages are created in PHP for global remote monitoring.

• A âAZGraphical User InterfaceâAZ is created in PHP for global remote con-

trol.

• Automation features is included to assist the user for the diagnosed fault in

the vehicle.



18th


Centre of Excellence

AMCEC-CISCO Networking Academy

We have established a Centre of Excellence in our college through an MoU with

renowned CISCO Networking Academy. Cisco is a pioneer in Computer Networking. CISCO

Networking Academy is a world class academy which trains students to at par with the industry

standards, with a common global syllabus. For 20 years, Cisco Networking Academy has changed

the lives of 9.2 million students in 180 countries by providing education, technical training, and

career mentorship. CISCO certified students increase their employability by 90%. CISCO

certification is open for all branch students, during their 3rd

or 4th

year of B.E. We are proud that

AMCEC is one of the only 3 colleges in Bangalore to have a CoE with CISCO. CISCO NetAcad

offers CCNA, CCNP, CCNE certifications on networking. Once the student completes these 2

levels successfully, he can take up an online certification exam. Students who are certified will

have the privilege of CCNA qualification, and they will be directly referred by CISCO for

placements in top companies. Even

otherwise networking has a huge scope in IT industry.

Unveiling of the AMCEC-CISCO Networking Academy by our Beloved Chairman and other

delegates.

Inauguration of the AMCEC-CISCO Networking Academy Laboratory

Induction Program on CCNA course for 3

rd and 4

th year students of CSE, ISE and ECE

Mr.Anand Manikutty, Director-Marketing from Netalla, listening to the induction talk

Mr.Pradeep M., Director-Information Technology, Netalla, addressing the students

Audience of CSE, ISE and ECE listening keenly about the CCNA course


18th


Centre of Excellence AMCEC- TEQUED LABS

About Tequed labs

Tequed Lab is a Research and Development Center and Educational Institute based

in Bangalore. They are focused on providing quality education on latest

technologies and develop products which are of great need to the society. They

also involve distribution and sales of latest electronic innovation products

developed all over the globe to our customers. They run a Project and Internship

consultancy, where they undertake live projects from a wide range of companies.

MOU with Tequed Labs

AMC Engineering College has signed a MOU with Tequed labs to establish Centre

of Excellence of Internet of Things(IoT) in Computer Science and Engineering

Department. AMC Engineering College is recommending students Tequed labs for

Internship program. They have sponsored rupees 2 lakh worth components to

establish Center of Excellence in IoT to support the Hobby projects and final year

projects. Components includes 3D printer, various sensors, Raspberry Pi boards,

Ardiuno boards, Xbees, etc.,.

IoT Lab Board Unveiling

IoT Lab Inauguration

3D Printer in IoT Lab

Ardiuno And Raspberry Pi Workshops in IoT Lab

Induction Program For First Year Students in IoT Lab

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