KERALA TECHNOLOGICAL UNIVERSITY CHEMICAL ENGINEERING

KERALA TECHNOLOGICAL

UNIVERSITY

(THRISSUR CLUSTER - 07)

SCHEME AND SYLLABI

of

M. TECH.

in

PROCESS CONTROL

OFFERING DEPARTMENT

CHEMICAL ENGINEERING

ii

CLUSTER LEVEL GRADUATE PROGRAMME COMMITTEE

1. Dr Devdas Menon, Professor, IIT Madras Chairman

2 Principal, Government Engineering College Trichur,Thrissur. Convener

3 Principal, AXIS College of Engineering & Technology, East

Kodaly, Murikkingal, Thrissur Member

4 Principal, IES College of Engineering, Chittilappilly,

Thrissur Member

5 Principal, MET'S School of Engineering, Mala, Thrissur Member

6 Principal, Royal College of Engineering & Technology,

Akkikkavu, Thrissur Member

7 Principal, Vidya Academy of Science & Technology,

Thalakkottukara, Thrissur Member

8 Principal, Thejus Engineering College, Vellarakkad,

Erumappetty, Thrissur Member

9 Principal, Universal Engineering College, Vallivattom,

Konnathakunnu, Thrissur Member

10 Principal, Sahrdaya College of Engineering & Technology,

Kodakara, Thrissur Member

iii

CERTIFICATE

This is to certify that

1. The scheme and syllabi are prepared in accordance with the regulation and

guidelines issued by the KTU from time to time and also as per the decisions

made in the CGPC meetings.

2. The suggestions/modifications suggested while presenting the scheme and

syllabi before CGPC on 25.6.2015 have been incorporated.

3. There is no discrepancy among the soft copy in MS word format, PDF and hard

copy of the syllabi submitted to the CGPC.

4. The document has been verified by all the constituent colleges.

Coordinator in charge of syllabus revision of the programme

Dr.Renjanadevi B.

Associate Professor in Chemical Engg

Government Engineering College,

Thrissur.

Principal of the lead college

Dr. Indiradevi K. P.

Government Engineering College

Thrissur.

Principals of the colleges in which the programme is offered

Name of the college Principal’s Name Signature

Government Engineering

College

Dr. Indiradevi K. P.

Place: Thrissur, Chairman

Date: 08/07/2015. IIT Madras,

Chennai.

iv

PROGRAMME EDUCATIONAL

OBJECTIVES (PEOs)

M. Tech in Process control program focuses on the application of basic science and

chemical engineering to chemical process control.

The program prepares graduates who

PEO-1: Have a sound knowledge base and skill sets to develop and expand

professional careers in fields related to chemical process control and

instrumentation, computerized control systems and management of

industrial processes.

PEO-1I: Are well-rounded individuals with strong personal skills and competent

in communication and presentation be able to work in team

environments, and with a strong sense of professionalism.

PEO-1II: Have an aptitude for engineering applications and be immediately

productive at workplace after graduation.

PEO-1V: Have commitment to research, professional development and lifelong

learning.

v

PROGRAMME OUTCOMES (POs)

A. Have an appropriate mastery of knowledge in the field of Chemical Engineering

and Process Control.

B. Be able to apply mathematics as a tool and the concepts of chemistry, physics,

and Chemical Engineering to identify, formulate and solve process control

problems.

C. Be proficient in the analysis, design, test and implementations of

instrumentation and control systems utilizing appropriate software and

hardware tools and devices.

D. Be able to effectively communicate technical information and details verbally

and in writing.

E. Be able to conduct information searching and processing and develop the ability

for self-learning.

F. Be able to plan and execute chemical engineering project works to achieve the

expected goals.

G. Be able to find professional level employment and/or pursue research.

H. Be able to understand and uphold professional, ethical and social

responsibilities.

I. Develop innovative and entrepreneurial skills

6

SCHEME OF EXAMINATIONS

SEMESTER I

Exam

Slot Course No:

Subject

Hours/week

Internal

Marks

End Semester

exam Credits

L T P Marks Duration

- Hrs

A 07MA 6009

Mathematics

4 0 0 40 60 3 4

B 07CH 6103

Process

Dynamics and

Control – 1

4 0 0 40 60 3 4

C 07CH 6105

Modern Control

Theory 4 0 0 40 60 3 4

D 07CH 6107

Industrial

Instrumentation

3 0 0 40 60 3 3

E 07CH 61X9

Elective I

3 0 0 40 60 3 3

07GN 6001

Research

Methodology 0 2 0

100

0 0 2

07CH 6113

Advanced

Process Control

Lab

0 0 2 100

- 0 0 1

07CH 6100 Introduction to

Seminar 0 0 1 0 0 0 0

Departmental

Assistance

- - 7

TOTAL

18 2 10 21

7

SEMESTER II

Exam

Slot Course No:

Subject

Hours/week

Internal

Marks

End Semester exam -

Credits

L T P Marks

Duration

Hrs

A

07CH6102

Advanced

Chemical

Reaction

Engineering

4 0 0 40 60 3 4

B 07CH6104

Process

Dynamics and

Control – II

3 0 0 40 60 3 3

C 07CH6106

Advanced Heat

and Mass

Transfer

3 0 0 40 60 3 3

D 07CH61X8

Elective II

3 0 0 40 60 3 3

E 07CH61X0

Elective III

3 0 0 40 60 3 3

07CH6112 Seminar 0 0 2 100 0 0 2

07CH6114 Mini Project 0 0 4

100

0 0 2

07CH6116

Modelling,

Design and

Simulation Lab

0 0 2

100

0 0 1

Departmental

Assistance

- - 6

TOTAL

16 0 14 21

8

SEMESTER III

Exam

Slot Course No:

Subject

Hours/week

Internal

Marks

End Semester exam

Credits

L T P

Marks Duration-

Hrs

A 07CH71X1

Elective IV

3 0 0 40 60 3 3

B

07CH71X3 Elective V 3 0 0 40 60 3 3

07CH7105 Seminar 0 0 2 100 0 0 2

07CH7107

Project

(Phase 1)

0 0 12 50 0 0 6

Departmental

Assistance

- - 10

TOTAL

6 0 24 14

9

SEMESTER IV

# The student has to undertake the departmental work assigned by HOD

Note: L – Lecture, T – Tutorial, P – Practical

Total number of credits for the PG Programme: 68

Exam

Slot Course No:

Subject

Hours/week

Internal

Marks

End Semester

exam

Credits

L T P

07CH7102

Project

(Phase 2)

0 0 21 70 30 12

Departmental

Assistance

9

TOTAL

0 0 30

12

10

LIST OF ELECTIVES OFFERED

07BT61X9: Elective I

07CH 6109 Process Optimization

07CH 6119 Energy Engineering and Management

07CH 6129 Separation Processes

07CH 6139 Artificial Neural Networks for Process Control

07CH61X8: Elective II

07CH6108 Multivariable Feedback Control

07CH6118 System Identification

07CH6128 Environmental Engineering and Management

07CH6138 Process Integration

07CH61X0: Elective III

07CH6110 Fuzzy Systems and Control

07CH6120 Modern Control Strategies

07CH6130 Applied Process Control

07CH6140 Biochemical Engineering

07CH71X1: Elective IV

07CH7101 Computational Flow Modelling

07CH7111 Process Safety Engineering

07CH7121 Computational techniques in Control Engineering

07CH7131 Digital self Tuning Control

07CH71X3: Elective V

.

07CH7103 Process Modeling and Simulation

07CH7113 Computational Methods for Process Design

07CH7123 Nanomaterial and Nanotechnology

07CH7133 Distillation Control

11

FIRST SEMESTER

07MA 6009: MATHEMATICS

Teaching scheme Credits: 4 Year: 2015 4 hours lecture per week

Prerequisites:

Basic knowledge of vector algebra, calculus and regression.

Course Objectives:

This course provides further studies on linear algebra and statistics which are wealth of

ideas and results with wide areas of application. Also it gives a brief description of the

concepts and results in matrices and power series that may be useful in engineering.

Syllabus

Definition of Vector space – Linear Dependence, Basis and Dimensions – Vector subspace

– Inner Product spaces Linear Simultaneous Equations. Eigen values and Eigen vectors of

Square Matrix –Diagonalization of Square Matrices; Reduction to Canonical forms –

Definiteness of Quadratic forms; Solution of Differential Equations in power series –

Frobenius method – Bessel’s equation – Legendre’s equation –Solutions of system of

Linear differential equations – Elimination methods – Matrix methods – Laplace Transform

method. Probability and statistics ; Probability distributions – Inferences concerning means – tests

of hypotheses – Inferences concerning variances – Curve fitting – The method of least

squares – Multiple regression - Correlation – Analysis of variance – Factorial

experimentation-Stochastic Processes.

Course Outcomes:

At the end of the course the students will be able to

Find Rank and Nullity and find out the Eigen values and Eigen matrices of

Square matrix. To use the concepts and results in matrices and power series

in engineering.

Find probability distributions like binomial, Poisson, Gaussian distribution etc.

for random variables, to test hypothesis and inferences made based on mean

and variance are considered.

Fit curves based on method of least squares. To do correlation and regression

analysis. To do error analysis and validation of experimental data. References: 1. Erwin Kreysig – Advanced Engineering Mathematics (Wiley Eastern)

2. M.K.Venkitaraman – Higher Mathematics for Engineering and Science.

3. K.V.Dutta – Matrix and Linear Algebra (Prentice –Hall) 4. Richard A. Johnson – Probability and Statistics for engineers (PHI)

12

COURSE PLAN

Internal continuous assessment: 40 marks Assessment procedure:

i) Two internal tests, each having 15%

ii) Tutorials/Assignments/ Mini projects having 10%

The assessment details are to be announced right at the beginning of the semester by the

teacher.

End Semester examination: 60 marks

COURSE NO: 07CH 6009 MATHEMATICS

(L-T-P : 4-0-0) CREDITS:4

Modules Contents Contact

hours

Sem.Exam

Marks;%

I

Definition of Vector space – Linear Dependence, Basis

and Dimensions, Vector subspace, Inner Product spaces,

Linear Simultaneous Equations. Eigen values and Eigen

vectors of a Square Matrix.

9 15

II

Diagonalization of Square Matrices, Reduction to

Canonical forms , Definiteness of Quadratic forms;

Solution of Differential Equations in power series –

Frobenius method, Bessel’s equation, Legendre’s

equation.

10 15

FIRST INTERNAL TEST

III Solutions of system of Linear differential equations ,

Elimination methods , Matrix methods , Laplace

Transform method , Multiple regression , Correlation.

9 15

IV Probability and statistics: Probability distributions –

binomial, Poisson, normal, uniform, gamma, Weibull. 9 15

SECOND INTERNAL TEST

V

Testing of hypotheses – Point estimation, interval

estimation, inferences concerning one mean, Inferences

concerning two means, inferences concerning variance,

inferences concerning two variances.

10 20

VI

Curve fitting, The method of least squares Analysis of

variance, Factorial experimentation Stochastic

Processes.

9 20

END SEMESTER EXAMINATION

13

07CH 6103 PROCESS DYNAMICS AND CONTROL – 1


Prerequisites:

Basic knowledge of process control

Course Objectives:

To familiarize the students with various advanced theories in process control, different

types of controllers and control strategies in real time systems and z transforms for digital

signal processing.

Syllabus

Linear system stability – Frequency response techniques –Non –linear system stability

analysis – the Phase plane technique – iscoline method – the Describing function technique.

.Different types of controllers; Control valves – characteristics, sizing and valve

positioners. Performance criteria of controllers; Controller tuning. Advanced control

strategies – different types; sampled data systems – sampling, zero order hold, impulse

modulated function, the Z- transform. Open loop and closed loop response. Stability

analysis.

Course Outcome:

To find out the stability of linear systems using frequency response techniques.

To determine the stability of nonlinear systems using the techniques such as

isoclines and describing functions.

To implement P, PI, PID Controllers using pneumatic and electronic control

technique.

To explain design parameters of control valves and actuators.

To apply advanced process control strategies for simple chemical processes.

To find open loop and closed loop responses of sampled data systems and do the

stability analysis.

References: 1. D.R.Coughanowr, Process system analysis and control, McGraw –Hill.

2. George Stephanopoulos, Chemical Process Control, an introduction to theory

and practice, Prentice-Hall.

3. K.Ogata, Model Control Engineering, Prentice-Hall.

4. Peter Harriot, Process Control, Tata McGraw Hill.

5. D.D. Perlmutter, Introduction to Chemical Process Control.

6. W.L. Luyben, Process modeling, Simulation and Control for Chemical

Engineers, McGraw Hill.

14

COURSE PLAN





teacher.


COURSE NO: 07CH 6103 PROCESS DYNAMICS AND CONTROL – 1

(L-T-P : 4-0-0 ) CREDITS:4


hours

Sem.Exam

Marks;%

I

Linear system stability – Frequency response

techniques – Bode and Nyquist stability

criteria. Introduction to Non –linear system

stability.

9 15

II

Stability analysis of non linear systems – the

Phase plane technique – iscoline method – the

Describing function technique – treatment of

simple non-linearities.

9 15

FIRST INTERNAL TEST

III

Different types of controllers – Pneumatic and

electronic types. Control valves –

characteristics, sizing and valve positioners.

9 15

IV

Performance criteria of controllers – the error

performance indexes -Controller tuning.

Advanced control strategies –Cascade

control, Feed forward control, Ratio control,

Internal model control.

10 15


V

Model reference adaptive control, self tuning

regulator. Dead time compensator – the Smith

predictor. Introduction to sampled data

systems- sampling, zero order hold, impulse

modulated function.

9 20

VI

The Z- transform; properties of z-transforms-

inversion of z-transforms- Open loop and

closed loop response. Stability analysis.

10 20


15

07CH 6105: MODERN CONTROL THEORY


Prerequisites:

Nil Course Objectives:

The students are exposed to basic analysis of the system in state space, Stability

analysis of linear and nonlinear systems, Controllability and observability of control

systems.

Syllabus

Introduction to state space analysis--representations of systems described by

differential equations and transfer functions in state variable form-Cayley-Hamilton

theorem-Evaluation of Matrix polynomial; Quadratic forms and sign definiteness of

quadratic forms. State space analysis of control systems-Discrete systems; state space

representation and solution. Liapunov stability analysis; Stability analysis of simple linear

systems and of non-linear systems. Controllability and Observability; -Introduction to

optimal control.

Course Outcome:

To do numerical problems on state space theorem. To find stability of non-linear

systems using Lyapanov theorem, Krasovski’s method and the Variable gradient

method

To find the controllability and observability of discrete time systems.

To prove Cayley-Hamilton theorem.

References: 1. Katsuhiko Ogata, Modern control engineering, Prentice- Hall of India

2. Chen,C.F and I.J Haas, Elements of control system analysis, Prentice – Hall

3. Katsuhiko Ogata, State space analysis of control systems, Prentice – hall

4. Kuo,B.C, Analysis and synthesis of sampled data control systems, Prentice –Hall

5. A.Nagoor Kani,Advanced Control Theory, RBA Publications.

16

COURSE PLAN





teacher.


COURSE NO: 07CH 6107: MODERN CONTROL THEORY

(L-T-P : 4 -0-0) CREDITS:4


hours

Sem.Exa

m

Marks;%

I

Introduction to state space analysis-Definitions

of state space, state variables and equilibrium

points-representations of systems described by

differential equations and transfer functions in

state variable form-Bush form, Canonical form,

Jordans’s form.

9 15

II

Cayley-Hamilton theorem- Evaluation of

Matrix polynomial, inverse of a matrix, state

transition matrix . Quadratic forms and sign

definiteness of quadratic forms State space

analysis of control systems.

9 15

FIRST INTERNAL TEST

III

Introduction to the state concept. State space

representation of systems. Solution of the time

invariant state equations-state transition matrix.

Transfer matrix. Linear time varying systems.

9 15

IV

Discrete systems-state space representation and

solution. Liapunov stability analysis-Definition

of stability, instability and asymptotic stability.

Liapunov stability theorems.

10 15


V

Stability analysis of simple linear systems.

Stability analysis of non-linear systems-

Krasovski’s method and the Variable gradient

method.

9 20

VI

Controllability and Observability- Definitions,

controllability and observability of continuous

and discrete time systems-Introduction to optimal control.

10 20


17

07CH 6107: INDUSTRIAL INSTRUMENTATION


Prerequisites:

Basic knowledge of process instrumentation and measurement

Course Objectives:

To study about the different instruments and techniques used in chemical industry

for measurement of various process variables and understand the theory behind

them. Syllabus

Applications of measurement instrumentation, functional description of measuring

instruments, performance characteristics of instruments. Pressure measurement;

Measurement of low pressure and high-presure by different methods. Temperature

measurement; Thermal expansion methods, thermoelectric sen sors, electrical resistance

sensors, radiation thermometer. Flow measurement of fluids and solids. Level

measurement in open vessels; Strain measurement; Humidity measurement; Moisture

content measurement using thermal method. Composition analysis; Gas analysis using

infra-red gas analyzer. Thermal conductivity bridge method for flue gas analysis.

Chromatography for gas analysis. Smoke and dust detection – ionization smoke detector

Course Outcome:

To explain and sketch various measuring instruments used for pressure,

temperature, flow, level and composition used in chemical industry and

their static and dynamic characteristics.

References: 1. Ernest O Doeblin, Measurement systems, Application and Design, McGraw

Hill.

2. Jain .R.K, Mechanical and Industrial measurements, Khanna publishers.

3. Patranabis.D, Principles of Industrial Instrumentation, Tata- McGraw Hill.

18

COURSE PLAN





teacher.


COURSE NO: 07CH 6103: INDUSTRIAL INSTRUMENTATION



hours

Sem.Exam

Marks;%

I

Applications of measurement instrumentation,

functional description of measuring

instruments, performance characteristics of

instruments – static and dynamic

characteristics.

7 15

II

Pressure measurement – Passive and active

electrical pressure transducers. Measurement of

low pressure using Ionization gauge, McLeod

gauge, and radioactive vacuum gauge. High-

pressure measurement using air-pressure

balance method.

7 15

FIRST INTERNAL TEST

III

Temperature measurement – Thermal

expansion methods, thermoelectric sensors,

electrical resistance sensors, radiation

thermometer.

7 15

IV

Flow measurement –Electromagnetic flow

meter, ultrasound or acoustic velocity flow

meter, Rotameter, hot wire anemometer. Flow

measurement of solids. Level measurement in

open vessels using bubbler system.

7 15


V

Strain measurement using strain gauge,

humidity measurement using industrial dew

point apparatus. Moisture content measurement

using thermal method.

7 20

VI

Composition analysis – Gas analysis using infra

red gas analyzer. Paramagnetic oxygen analyzer. Thermal conductivity bridge method

for flue gas analysis. Chromatography for gas analysis. Smoke and dust detection – ionization

smoke detector.

7 20


19

07CH 6109 PROCESS OPTIMIZATION

Teaching scheme Credits: 3 Year: 2015 3 hours lecture per week Prerequisites: Nil

Course Objectives: To give in depth knowledge of different principles and methods of

optimization so that it can be applied to Chemical engineering based problems.

Syllabus

Geometric concepts. Formulation of Optimization Problems in Chemical Engineering.

Unconstrained optimization Multivariate Unconstrained Optimization methods.

Multivariate Constrained Optimization: Linear Programming: Simplex, Duality theory for

nonlinear programming- Lagrangean Interpolation method- Quadratic programming

Active set method- Quadratic penalty method

Course Outcome:

Upon completion of this course the students should be able to formulate and find

optimal solutions in chemical engineering problems.

Text books:

1. T. F. Edgar and D M Himmelblau, Optimization of chemical processes

References:

1. M.C. Joshi and K. M. Moudgalya, Optimization: Theory and Practice, Narosa

Publishing.

2. S.S. Rao, Optimization Theory and Applications

3. J. Nocedal and S. J. Wright, Numerical Optimization, Springer Verlag.

4. Gilbert Strang, Linear Algebra

20

COURSE PLAN



ii) Tutorials/Assignments/ Mini projects having 10%The assessment details are to

be announced right at the beginning of the semester by the teacher.


COURSE NO: 07CH 6109: PROCESS OPTIMIZATION



hours

Sem.Exam

Marks;% I Geometric concepts. Formulation of

Optimization Problems in Chemical

Engineering. Classification of optimization

problems, Essential features of optimization

problems, and general procedures for

solving optimization problems.

6 15

II Optimization of Unconstrained functions:

numerical methods for optimizing functions

for one variable. necessary and sufficiency

condition for local optimum, bracketing

techniques, one dimensional search

methods-Newtons method, Quasi-Newton

method and secant method.

6 15

FIRST INTERNAL TEST

III Optimization of Unconstrained functions-

Region elimination methods, polynomial

approximation methods-Quadratic

interpolation and cubic interpolation

methods

6 15

IV Multivariate Unconstrained Optimization-

Direct methods- Powell's method, Simplex

method, Indirect methods- first order-

Steepest descent, Conjugate gradient

6 15


V Multivariate Constrained Optimization:

Karush-Kuhn-Tucker conditions for local

optimality, Linear Programming: Simplex,

Duality.

9 20

VI Duality theory for nonlinear programming-

Lagrangean Interpolation method-

Quadratic programming Active set method-

Quadratic penalty method.

9 20


21

07CH 6119 ENERGY ENGINEERING AND MANAGEMENT


Prerequisites:

Knowledge of energy sources and conservation

Course Objectives:

The students are given a comprehensive knowledge of different sources of renewable

energy, solar energy tapping, biomass conversion, fuel cells, energy conservation and

energy audit Syllabus

Classification of energy, energy resources and energy consumption, Concept of thermal

efficiency, combined cycle power plants, Fluidized bed combustion, Solar energy, hydel

and nuclear power plants, Renewable energy sources such as biomass, Wind energy, tidal

Energy, wave energy, Ocean Thermal energy conversion, MHD, Energy audit and

conservation in industries

Course Outcome:

The students are given a comprehensive knowledge of different sources of

renewable energy, solar energy tapping, biomass conversion, fuel cells, energy

conservation and energy audit. Text books/References:

1. Mittal.K.M, Non-conventional energy systems, Wheeler Publishing Co.

2. Rao.S and Parulekar, Energy technology, Khanna Publishers.

3 Bansal.N.K and Kleeman, Renewable energy sources and conversion technologies,

Tata- McGraw Hill.

4. Sukhatme.S.P. Solar energy, Tata-McGraw Hill.

5. Reddy, A.K.N and Goldemberg, Energy for a sustainable world, Tata-McGraw Hill.

22

COURSE PLAN





teacher.


COURSE NO: 07CH 6119: ENERGY ENGINEERING AND MANAGEMENT

(L-T-P : 3-0-0 ) CREDITS:3


hours

Sem.Exam

Marks;%

I Classification of energy, energy resources and energy

consumption – world and Indian scene, Energy

strategies for a sustainable world, Concept of thermal

efficiency, thermal power plants, heat pumps,

combined cycle power plants, Fluidized bed

combustion.

6

15

II Solar energy, thermal and photo voltaic systems, flat

plate and focusing collectors, solar water heating,

solar distillation, solar cooking, solar refrigeration,

solar ponds, power generation, energy plantations.

7 15

FIRST INTERNAL TEST

III Biomass conversion technologies – thermo chemical

and biochemical routes. Wind energy, small

hydropower, nuclear power plants.

7 15

IV Hydel power plants, Tidal Energy, wave energy,

Ocean Thermal energy conversion, Magneto

hydrodynamics, hydrogen energy, fuel cells.

7 15


V Energy audit and conservation in chemical industry,

different types and need for energy audits,

Understanding Energy Costs, Bench marking, Energy

performance, Matching energy use to requirements,

maximizing system efficiencies, fuel and energy

substitution, optimizing energy input requirements,

energy conservation acts.

8 20

VI Energy conservation in distillation columns, heat exchangers, dryers, furnaces, boilers, Energy

conservation in petroleum and petrochemical and steel

industries. pinch technology, co-generation & trigeneration.

7 20


23

07CH 6129: SEPARATION PROCESSES


Prerequisites:

Nil

Course Objectives:

The students are familiarized with the concepts of advanced separation processes like

Membrane separation processes, diffusional separation process, multicomponent

absorption, azeotropic and extractive distillation.

Syllabus

Membrane separation processes – fundamentals, structure of membranes, membrane

permeation of liquids and gases, effects of concentration, pressure and temperature.

Dialysis: mechanism, design, industrial application, reverse osmosis- design

considerations, Diffusional separation processes, mechanism, process description, design

considerations, basic principles, application, equipments. Separation by action in field-

theory- applications. Azeotropic and extractive fractional distillation – Absorption of gases

– non isothermal operation. Absorption with chemical reaction -applications.

Course Outcome:

To study and analyse different separation processes

To acquire knowledge on how to select a separation process for economic and

efficient functioning of a Chemical Industry.

References: 1. Seader,Henly , Separation process principles, John Wiley

2. Shoen K.M, New chemical engineering separation techniques, Inter Science (1962). 3. Loeb.S, Industrial membrane separation processes.

4. Perry.J.H and C.E.Chilto, Chemical engineer’s handbook, McGraw Hill

5. McCabe W.L, J.C.Smith and P.Harriot, Unit operations in chemical engineering,

McGraw Hill.

6. Rousseau R.W, Handbook of separation process technology, John Wiley(1987).

7. Winkle M.W, Distillation, McGraw Hill.

8. Sherwood T.K, R.L Pigford and C.R Wilke, Mass transfer, McGraw Hill.

24

COURSE PLAN



ii) Tutorials/Assignments/ Mini projects having 10%The assessment details are to be

announced right at the beginning of the semester by the teacher.


COURSE NO: 07CH 6127: SEPARATION PROCESSES

(L-T-P : 3-0-0 ) CREDITS:3


hours

Sem.Exam

Marks;%

I Membrane separation processes – fundamentals,

mechanism and equilibrium relationships, structure of

membranes, membrane permeation of liquids and

gases, effects of concentration, pressure and

temperature.

7

15

II Dialysis: mechanism, basic idea on dialyser design,

industrial application, reverse osmosis- design

considerations, applications, ultra-filtration.

Adductive crystallization and zone melting – ultra and

zonal centrifugation.

7 15

FIRST INTERNAL TEST

III Diffusional separation processes – gaseous diffusion,

mechanism, process description, design

considerations, basic principles, application,

equipment for thermal diffusion and pressure diffusion

Separation by action in a field – theory of electrical

separation, electrophoresis, continuous flow

electrophoresis, electro dialysis- applications.

7 15

IV Azeotropic and extractive fractional distillation –

separation of homogeneous azeotropes, separation of

heterogeneous azeotropes, selectivity, factors

affecting selectivity, methods for prediction,

mechanism of relative volatility change, choice of

entrainer or solvent, methods of solvent recovery.

7 15


V Absorption of gases – non isothermal operation,

adiabatic absorption and stripping in packed columns,

multicomponent absorption, graphical and algebraic

method for multistage operation

7 20

VI Absorption with chemical reaction, theory of diffusion and reaction near an interface, film, theory for a first

order reaction, the reaction of NOx with water and

aqueous solutions, reaction of CO2 with alkaline solutions.

7 20


25

07CH 6139 ARTIFICIAL NEURAL NETWORKS

Teaching scheme Credits: 3 Year : 2015 3 hours lecture per week

Prerequisites:

Nil

Course Objective: To give a comprehensive treatise on the various neural network

models and their respective field of applications

Syllabus

Introduction to neural networks Biological Neurons and Neural Networks, Networks of

Artificial Neurons. Single Layer Perceptrons, Learning and Generalization The

Generalized Delta Rule, Practical Considerations. Basic neural network models: Radial

Basis Function Networks: Applications of Multi-layer Perceptrons. Basic learning models;

Associative Learning, Applications of artificial neural networks.

. Course Outcome:

A thorough understanding of basics of artificial Neural Network

To know about various applications of ANN

To perform different pattern recognition task using ANN.

References

1. Simon Haykin, "Neural Networks", Second Edition, Prentice Hall, 1999 2.

Christopher M. Bishop, Neural Networks for Pattern Recognition By Oxford

University Press, 1995

3. Rumelhart, D.E., And J.L. Mcclelland (Eds.) Parallel Distributed Processing:

Explorations In Micro Structure Of Cognition. Vol. I, Cambridge, Ma: Mit Press,

1986.

4. Martin T. Hagan, Howard B. Demuth, Mark Beale, Neural Network Design, Vikas

Thomson Learning

5. Freeman, J.A. And D.M. Skapura, Neural Networks: Algorithms, Applications and

Programming Techniques. Addison Wesley Publishing Company, New York, 1991.

6. Yegnanarayana, B. (1994) Artificial Neural Networks for Pattern Recognition.

Sadhana, 19(2), 189-238.

26

COURSE PLAN





teacher.


COURSE NO: 07CH 6139 ARTIFICIAL NEURAL NETWORKS



hours

Sem.Exam

Marks;%

I

Introduction to neural networks Biological

Neurons and Neural Networks, Networks of

Artificial Neurons. Single Layer Perceptrons,

Learning and Generalization in Single Layer

Perceptrons, Hebbian Learning, Gradient

Descent Learning, Learning rates, Widrow-Hoff

Learning, The Generalized Delta Rule, Practical

Considerations.

7

15

II

Basic neural network models: ADALINE

networks, LMS algorithm, Learning in

Multilayer Perceptrons, Back-Propagation

algorithms, Radial Basis Function Networks:

Fndamentals, Algorithms and applications.

7 15

FIRST INTERNAL TEST

III

Learning with Momentum, Conjugate Gradient

Llearning, Bias and Variance. Under-Fitting and

Over-Fitting. Applications of Multi-layer

Perceptrons.

7 15

IV

Basic learning models: Associative Learning,

Competitive Networks, Winner-take-all

networks, Adaptive Resonance Theory (ART),

neural networks as associative memories,

Hopfield network, BAM.

7 15


V

Self-Organizing Maps: Fundamentals,

Algorithms and Applications. Learning Vector

Quantization, optimization problems solving

using neural networks, Stochastic neural

networks, Boltzmann machine

7 20

VI

Applications of artificial neural networks:

Application areas like system identification and

control, decision making, pattern recognition,

pattern mapping and sequence recognition.

7 20


27

07GN 6001 RESEARCH METHODOLOGY

Teaching scheme Credits 2 Year : 2015

2 hours tutorial per week

Prerequisites: Nil

Course Objectives

The main objective of the course is to provide a familiarization with research methodology and to

induct the student into the overall research process and methodologies. This course addresses:

The research process and the various steps involved

Formulation of research problem and research design

Methods of preparing theses and technical papers.

Important research methodologies followed in engineering and management

As a tutorial type course this is expected to be more learner centric, and active involvement from

the learners are expected which encourages self study and the faculty performing a facilitator’s

role.

Syllabus

Research concepts, research design, literature review, problem solving, experimental research,

Interpretation, report writing, research proposals, journal publishing, ethical issues, modeling and

simulation, measurement design, sample design and data collection and analysis

Course Outcome

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

Analyze and evaluate research works and to formulate a research problem to pursue

research

Prepare a theses or a technical paper for presentation

Apply the various methodologies followed in engineering research, formulation of research

problems and to utilize them in project work.

REFERENCE BOOKS

K. N. Krishnaswamy, Appa Iyer Sivakumar, M. Mathirajan, Management Research

Methodology, Integration of principles, Methods and Techniques, Pearson Education

C. R. Kothari, Research Methodology, Methods and Techniques, New Age International

Publishers

R. Panneerselvam, Research Methodology, PHI Learning

Deepak Chawla, Meena Sondhi, Research Methodology–concepts & cases, Vikas Publg

House

J.W Bames, Statistical Analysis for Engineers and Scientists, McGraw Hill, N.York

Schank Fr., Theories of Engineering Experiments, Tata Mc Graw Hill Publication.

Willktnsion K. L, Bhandarkar P. L, Formulation of Hypothesis, Himalaya Publication.

28

Fred M Kerlinger, Research Methodology

Ranjit Kumar, Research Methodology – A step by step guide for beginners, Pearson

Education

John W Best, James V Kahan – Research in Education, PHI Learning

Donald R. Cooper, Pamela S. Schindler, Business Research Methods, 8/e, Tata McGraw-

Hill Co Ltd

Garg, B.L., Karadia, R., Agarwal, F. and Agarwal, U.K., 2002. An introduction to Research

Methodology, RBSA Publishers.

Sinha, S.C. and Dhiman, A.K., 2002. Research Methodology, Ess Ess Publications. 2

volumes. Trochim, W.M.K., 2005. Research Methods: the concise knowledge base, Atomic

Dog Publishing. 270p.

Coley, S.M. and Scheinberg, C. A., 1990, "Proposal Writing", Sage Publications.

Day, R.A., 1992.How to Write and Publish a Scientific Paper, Cambridge University Press.

Fink, A., 2009. Conducting Research Literature Reviews: From the Internet to Paper. Sage

Publications

Donald H.McBurney, Research Methods, 5th Edition, Thomson Learning, ISBN:81-315-

0047- 0,2006

Additional suitable web resources

Guidelines related to conference and journal publications

Internal continuous assessment: 100 marks

Internal continuous assessment is in the form of periodical tests and assignments. There are

three tests for the course (3 x 20 = 60 marks) and assignments (40 marks). The assignments

can be in the form of seminar, group tasks, case studies, research work or in a suitable

format

as decided by the teacher. The assessment details are to be announced to students at the

beginning of the semester by the teacher

29

COURSE PLAN

COURSE NO: 07GN 6001 RESEARCH METHODOLOGY



hours

Sem.Exam

Marks;%

I

Research concepts – meaning – objectives – motivation -

types of research –research process – criteria for good

research – problems encountered by Indian researchers -

scientific method - research design – research design

process – decisional research.

5

10%

II

Formulation of research task – literature review – methods

– primary and secondary sources – web as a source -

formulation of research problems – exploration -

hypothesis generation - problem solving approaches,

experimental research – principles - laboratory experiment

- experimental designs -

ex post facto research - qualitative research.

5 15

FIRST INTERNAL TEST

III

Interpretation and report writing – techniques of

interpretation – precautions in interpretation – significance

of report writing – principles of theses writing- format of

reporting - different steps in report writing – layout and

mechanics of research report - references – tables – figures

– conclusions.

4 15

IV

Research proposal - development and evaluation –

research paper writing – layout of a research paper,

journals in engineering – considerations in publishing -

ethical issues - plagiarism - oral presentation – planning –

preparation - making presentation – use of visual aids -

effective communication.

5 15


V

Modelling and Simulation – concepts of modelling –

mathematical modelling - composite modelling –

modelling with – ordinary differential equations – partial

differential equations – graphs heuristics and heuristic

optimization - simulation modelling

5 20

VI

Measurement design – errors -validity and reliability in

measurement - scaling and scale construction - sample

design - sample size determination - sampling errors - data

collection procedures - sources of data - data collection

methods - data preparation and data analysis

4 20

THIRD INTERNAL TEST

30

07CH 6113: ADVANCED PROCESS CONTROL LAB

Hours per week: 2 Credits 1 Year : 2015 Course Objective:

To obtain practical knowledge in analyzing the dynamics of real time systems and

their control.

Prerequisites:

Nil

Experiments

1. Dynamics of thermometer

2. Dynamics of thermometer with thermo well

3. Dynamics of liquid level system - single tank

4. Dynamics of liquid level system - non-interacting tanks in series

5. Dynamics of liquid level system - interacting tanks in series

6. Dynamics of mixing process

7. Analysis of control valve characteristics

8. Determination of characteristics of differential pressure transmitter

9. Conducting experiments in Flow Process Analyser to study the control of

process flow tank using on – off, Proportional, Proportional integral,

proportional derivative and proportional integral derivative controllers

10. Conducting experiments in Temperature Process Analyser to study the control

of process tank using on – off, Proportional, Proportional integral, proportional

derivative and proportional integral derivative controllers.

11. Conducting experiments in Cascade controller trainer to study the control of

integrated flow and level processes simultaneously using on – off, Proportional,

Proportional integral, proportional derivative and proportional integral derivative

controllers

12. Coupled tank system- Experiments on dynamics and control of non linear

coupled tank system.

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

find characteristics of control valve, differential pressure transmitter

Conduct and study experiments in current to pressure and pressure to

current convertor, Flow Process Analyzer to study the control using on

– off, Proportional, Proportional integral, proportional derivative and

proportional integral derivative controllers.

study and analyse Temperature Process Analyzer characteristics,

Cascade controller trainer, and the control of integrated flow and level

processes simultaneously using on – off, Proportional, Proportional

integral, proportional derivative and proportional integral derivative

controllers.

Internal Continuous Assessment (Maximum Marks-100):

Practical Records/outputs: - 40 marks

Regular class Viva-Voce: - 20 marks Final Test (Objective) - 40 marks

31

07CH 6200 INTRODUCTION TO SEMINAR (L-T-P : 0-0-1) Credits: 0 Year: 2015 Prerequisites:

Nil

Course Objectives:

1. To improve the debating capability of the student to present a technical topic

2. To impart training to the student to face audience and present his ideas and thus

creating self esteem and courage essential for an engineer

Outline:

Individual students are required to choose a topic of their interest and give a seminar on

that topic for about 30 minutes. A committee consisting of at least three faculty members

shall assess the presentation of the seminar. The committee will provide feedback to the

students about the scope for improvements in communication, presentation skills and body

language. Each student shall submit one copy of a write up of the seminar topic.

Course Outcomes:

The graduate will have improved the debating capability and presentation skills in

any topic of his choice.

32

SECOND SEMESTER

07CH6102 ADVANCED CHEMICAL REACTION ENGINEERING

Teaching scheme Credits: 4 Year: 2015 4hours lecture per week

Prerequisites:

Basic knowledge of chemical reactions and stoichiometry

Course Objectives: To study the kinetics of solid catalysed reactions, different types of reactors and their model

equations. The student will be able to select and design the type of reactor for a particular

application.

Syllabus

Kinetics of homogeneous reactions; ideal reactors, reactor design for single reactions and

multiple reactions. Non-isothermal reactor design. Basics of non-ideal flow; models for

non-ideal flow, RTD. The kinetics of solid catalysed reactions; performance equation for

reactors containing porous catalyst particles, deactivating catalysts. Gas – liquid reactions

on solid catalysts; fluid – fluid reactions – kinetics and reactor design.

Course Outcome:

After completion of this course the student will be able to

design ideal reactors for different reactions.

understand the basics of non-ideal flow and different models for non-ideal flow.

develop the kinetics of solid catalyzed reactions and also obtain the performance

equation for reactors containing porous catalyst particles.

design gas – liquid reactors.

References: 1. Levenspiel. O, Chemical Reaction Engineering, John Wiley & sons.

2. Carberry. J.J, Chemical and Catalytic Reaction Engineering, Mc Graw Hill.

3. Smith, J. M., Chemical Kinetics, Mc Graw Hill.

4. Fogler, S. H., Elements of Chemical Reaction Engineering, Prentice Hall.

5. Walas, S. M., Chemical Reaction Engineering Handbook of Solved Problems,

Oxford Sciences. 6. Davis, M.E. and Davis, R.J, Fundamentals of Chemical Reaction Engineering, Mc

Graw Hill. .

33

COURSE PLAN





teacher.


COURSE NO: 07CH6102 ADVANCED CHEMICAL REACTION ENGINEERING



hours

Sem.Exam

Marks;%

I

Kinetics of homogeneous reactions, interpretation of

batch reactor data, ideal reactors, reactor design for

single reactions and multiple reactions, single reactor

and multiple reactor systems, recycle reactor, auto

catalytic reactor.

10

15

II

Non-isothermal reactor design, reactor stability,

multiple steady states. Basics of non-ideal flow

compartment models, the axial dispersion model, the

tanks-in-series model, the convection model for

laminar flow, earliness of mixing, segregation and

RTD.

9 15

FIRST INTERNAL TEST

III

The kinetics of solid catalysed reactions, pore

diffusion resistance combined with surface kinetics,

effectiveness factor, performance equation for

reactors containing porous catalyst particles.

10 15

IV

The packed bed catalytic reactor, the fluidized

reactor, the bubbling fluidized bed, the K – L Model

for bubbling fluidized bed, deactivating catalysts.

9 15


V

Gas – liquid reactions on solid catalysts trickle beds,

slurry reactors, three – phase fluidized beds-The

general rate equation and performance equation-

selction of contactors-applications.

9 20

VI

Fluid – fluid reactions – Rate equation-Straight

mass transfer-Mass transfer and reaction-kinetics

and reactor design.

9 20


34

07CH6104: PROCESS DYNAMICS AND CONTROL – II


Prerequisites:

Thorough knowledge of stability of linear and nonlinear systems, control strategies and

sampled data systems

Course Objective: To enable the students to model, conduct dynamic study and control

real process in chemical industry and to have knowledge about distributed control systems

and digital control.

Syllabus

Theoretical analysis of complex processes like reactor, absorber, transportation lag, heat

exchanger, etc. Dynamics and control of heat exchangers and distillation columns.

Introduction to advanced control schemes like DCS, PLC, fuzzy control, SCADA, etc.

Process control using digital computers – transient response of closed-loop sampled data

systems. Analysis and design of sampled–data controllers, minimal prototype algorithms,

digital pi and pid controllers

Course Outcome: The students will acquire knowledge

To do Process modeling of equipments such as steam jacketed kettle, heat

exchanger, gas bubble absorber and distillation column using Laplace transform.

To find out the transfer function and dynamic responses of the above processes and

develop the control schemes, control actions and their parameters.

To explain the working, configurations, communication protocols, tasks of DSC and

digital control system.

To find out the transient response of different sampled data systems.

To analyze and design the sampled data control systems to find out different control

parameters.

References:

1. D.R.Coughanowr, Process system analysis and control, McGraw –Hill.

2. George Stephanopoulos, Chemical Process Control, an Introduction to theory and

practice, Prentice-Hall.

3. W.L. Luyben, Process modeling, Simulation and Control for Chemical

Engineers,

McGraw Hill

4. Krishna Kant, Computer based industrial control, Prentice Hall.

5. Deshpande P.B and R.H.Ash, Elements of process control applications, ISA Press.

6. Mckloni D.T, Real time control networks, ISA Press.

7. Shinskey F.G, Distillation control, McGraw Hill.

35

COURSE PLAN





teacher.


COURSE NO: 07CH6104 PROCESS DYNAMICS AND CONTROL – II

(L-T-P : 3-0-0)

CREDITS:3


hours

Sem.Exam

Marks;%

I

Theoretical analysis of complex processes –

control of a steam-jacketed kettle, dynamic

response of a gas absorber.

7

15

II

Distributed parameter systems – heat conduction

into a solid, transportation lag as a distributed

parameter system.

7 15

FIRST INTERNAL TEST

III

Dynamics and control of heat exchangers and

distillation columns – dynamics of steam heated

exchangers and control schemes. Control schemes

for distillation columns.

7 15

IV

Introduction to advanced control schemes-

distributed control systems ,evolution of DCS,

DCS protocols, communication in DCS, case

studies in DCS.

7 15


V Introduction to plc control, fuzzy logic control,

artificial neural networks and scada .

7 20

VI

Process control using digital computers – transient

response of closed-loop sampled data systems.

Analysis and design of sampled–data controllers,

minimal prototype algorithms, digital PI and PID

controllers.

7 20


36

07CH6106: ADVANCED HEAT AND MASS TRANSFER


Prerequisites:

Knowledge of basic modes of heat and mass transfer and laws governing them.

Course Objectives: To enable the students to have a detailed understanding of advanced concepts of heat and

mass transfer

Syllabus

Review of conduction, convection, and thermal radiation fundamentals, steady state one-

dimensional conduction-, transient conduction for various configurations- heat transfer

through extended surfaces. Convection heat transfer – Heat transfer in laminar and

turbulent flows, Molecular diffusion – Steady state molecular diffusion, Simultaneous

diffusion and chemical reaction. Interphase transport in multi component systems.

Course Outcome: At the end of the course the student will be able

to explain the mechanism involved in heat transfer and to compute heat transfer

rates in various modes for the given process conditions in regular geometrical

patterns.

to find solution to steady - state molecular mass – transfer problems of one-

directional systems both with and without chemical production.

to attain knowledge about inter - phase mass transfer in multi component systems

and various models of mass transfer.

References:

1. Wetty J.R et al., Fundamentals of momentum, heat and mass transfer, John Wiley &

Sons

2. Bird et al., Transport phenomena, John Wiley & Sons. 3. Wetty J.R., Engineering heat transfer, John Wiley & Sons.

4. Foust A.S et al., Principles of unit operations, John Wiley & Sons.

5. Giedt, Principles of engineering heat transfer, Van Nostrand Co.

37

COURSE PLAN





teacher.


COURSE NO: 07CH6106: ADVANCED HEAT AND MASS TRANSFER



hours

Sem.Exam

Marks;%

I

Review of conduction, convection, and thermal

radiation fundamentals, steady state one-

dimensional conduction without and with

generation.

7

15

II

Transient conduction for various configurations-

heat transfer through extended surfaces.

Convection heat transfer – Heat transfer in laminar

and turbulent flows.

7 15

FIRST INTERNAL TEST

III

Hydrodynamic and thermal boundary layer,

integral analysis of hydro dynamic boundary layer.

Exact analysis of thermal boundary layer. Heat

transfer to non-Newtonian fluids. Heat transfer in

packed and fluidized beds.

7 15

IV

Molecular diffusion –.Steady state molecular

diffusion, equations of change for multi component

systems, use of equations of change in diffusion

problems.

7 15


V

Simultaneous diffusion and chemical reaction.

Analogy between heat, mass and momentum

transfer.

7 20

VI

Interphase transport in multi component systems –

Binary mass transfer coefficient in one phase, mass

transfer coefficients for low and high mass transfer

rates. Film theory, penetration theory and boundary

layer theory of mass transfer.

7 20


38

07CH6108 MULTIVARIABLE FEEDBACK CONTROL Teaching scheme Credits: 3 Year: 2015 3 hours lecture per week

Prerequisites:

Knowledge of control techniques of simple processes

Course Objectives: To give the students a basic understanding of multivariable feedback control.

Syllabus Introduction to classical feedback control, time domain and frequency domain closed loop performance, Introduction to multivariable control, internal stability of feedback systems, Limitations on performance in SISO and MIMO systems, The structured singular value analysis for MIMO systems.

Course Outcome:

To learn the inherent limitations in feedback control systems and on stability and

performance in the presence of uncertainty (robustness)

To analyse and design of linear multivariable control systems.

To perform the structured singular value analysis for MIMO systems.

References:

1. Sigurd Skogestad and Ian Postlethwaite, Multivariable feedback control- Analysis

and Design, John Wiley & Sons, 1998. 2. B. Wayne Bequette, Process Control Modeling Design and Simulation, Prentice

Hall of India, 2004.

3. P. Albertose and A. Sala, Multivariable control systems an engineering approach,

Springer, 2004.

4. Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp,’ Process Dynamics and

Control, Willey India, 2006.

39

COURSE PLAN





teacher.


COURSE NO: 07CH6108 MULTIVARIABLE FEEDBACK CONTROL



hours

Sem.Exam

Marks;%

I

Introduction to classical feedback control: open loop and closed loop transfer functions .

7

15

II

State space models, sensitivity and complementary sensitivity functions, closed loop stability, time domain and frequency domain closed loop performance.

7 15

FIRST INTERNAL TEST

III

Introduction to multivariable control:

transfer functions for MIMO systems,

transmission zeros, scaling, directional

sensitivity and operability, condition

number and RGA.

7 15

IV Decoupling, Internal stability of feedback

systems, H2 and H∞ norms. 7 15


V

Limitations on performance in SISO and

MIMO systems: limitations introduced by

time delays, RHP zeros, RHP poles, input

constraints and uncertainty, SISO robust

stability and robust performance.

7 20

VI

The structured singular value analysis for

MIMO systems, μ synthesis and DK

interaction. H2, LQG and H∞ controllers.

7 20


40

CH6108: SYSTEM IDENTIFICATION Teaching scheme Credits: 3 Year: 2015 3 hours lecture per week

Prerequisites:

Nil

Course Objectives: To give advanced concepts on process control system analysis and identification

Syllabus

Classification of models, transfer function and state space models for continuous time and

discrete time systems. Introduction to time-series models; Impulse response, convolution,

Fourier transforms – Estimation of ARMA, ARX, ARMAX, OE, BJ models, plant model

and noise model.

Course Outcome:

The aim of this course is to guide the student how to translate theoretical concepts into

engineering practice. Students who pass the course should be able to

account for and apply the stochastic concepts used in analysis of system

identification methods, and to explain why different system identification methods

and model structures are necessary in engineering practice.

find and apply techniques for identification of multivariable systems as state space

representations

show working knowledge of the available tools, and to reason how to choose

identification methods and model structures for real-life problems.

References: 1. Lennart Ljung, System Identification Theory for the user, Prentice Hall,PTR ,1999. 2. Enso Ikonen and Kaddour Najim, Advanced Process Identification and Control,

Marcel Dekker, Inc., 2002.

41

COURSE PLAN





teacher.


COURSE NO: 07CH6118: SYSTEM IDENTIFICATION

(L-T-P : 3-0-0) CREDITS:3 Modules Contents Contact

hours

Sem.Exam

Marks;%

I

Classification of models, transfer function

and state space models for continuous time

and discrete time systems.

7

15

II Linear regression analysis – method of least

squares. Introduction to time-series models. 7 15

FIRST INTERNAL TEST

III Auto covariance and cross covariance, least

squares problem in covariance domain. 7 15

IV Impulse response, convolution, Fourier

transforms, power spectrum, ETFE. 7 15


V Prediction of stochastic processes – one

step and k step ahead prediction. 7 20

VI

Estimation of ARMA, ARX, ARMAX,

OE, BJ models, plant model and noise

model.

7 20


42

07CH6128: ENVIRONMENTAL ENGINEERING AND MANAGEMENT


Prerequisites:

Nil

Course Objectives: To enable the students for understanding and characterizing waste water, air pollution,

solid waste management, design of systems for solid, liquid and air pollution control.

Syllabus

Waste water treatment: sludge treatment and disposal. Characteristics of domestic waste,

municipal waste water treatment systems. Air pollution: effect of air dispersion modeling.

Air pollution control of stationary sources. Noise pollution: Noise control. Pollution control

in industries; solid waste and hazardous waste management: characteristics and treatment

techniques. General guidelines of Environmental Iimpact Assessment (EIA),

Environmental Management Systems (EMS) and Environmental audit.

Course Outcome:

To understand the various causes of pollution, treatment and control of pollutants

and the legislations related to environment protection.

References:

1. Metcalf and Eddy, Waste water engineering, treatment, disposal, reuse, Tata-

McGraw Hill.

2. Mahajan.S.P, Pollution control in process industries, Tata-McGraw Hill.

3. Rao.C.S, Environmental pollution control engineering, New age international (P)

ltd. 4. Rao.M.N and H.V.N. Rao, Air pollution, Tata McGraw Hill

5. H.S Peavey et al., Environmental engineering, McGraw Hill

43

COURSE PLAN



ii) Tutorials/Assignments/ Mini projects having 10%The assessment details are to

be announced right at the beginning of the semester by the teacher.


COURSE NO 07CH6128: ENVIRONMENTAL ENGINEERING AND MANAGEMENT



hours

Sem.Exam

Marks;%

I

Waste water treatment: unit operations of pre treatment

and primary treatment, unit processes of secondary

treatment, disinfection, advanced waste water

treatment, sludge treatment and disposal.

9

15

II

Characteristics of domestic waste, municipal waste

water treatment systems. Concept of common effluent

treatment plant (CETP). Zero discharge systems. 7 15

FIRST INTERNAL TEST

III

Air pollution: effect of air pollutants, factors affecting

dispersion of air pollutants, dispersion modeling Air

pollution control of stationary sources: gaseous

pollutants and particulate pollutants. Air pollution

control of mobile sources: automobile emissions. Noise

pollution: effect of noise pollution on people,

community noise-sources and criteria, noise control..

8 15

IV

Pollution control in industries: pollution control in

petroleum refineries, fertilizer industries, pulp and

paper industries, textile industries, rubber processing

industries, tanning industries, breweries, dairy, phenol

plants, electroplating and metal finishing industries

7 15


V

Hazardous waste management: characteristics of solid

waste, disposal methods, resource conservation and

recovery. Definitions and classification of hazardous

waste,

6 20

VI

Waste minimization and recycling, treatment

techniques. General guidelines of environmental

impact assessment (EIA), environmental management

systems (EMS) and environmental audit.

5 20


44

07CH6138: PROCESS INTEGRATION


Prerequisites:

Nil

Course Objective:

To learn process integration with regard to energy efficiency, waste minimization

and an efficient use of raw materials.

Syllabus

Introduction to Process integration (PI) techniques – applications- Pinch Technology: Basic

concepts, role of thermodynamics. Targeting of Heat Exchanger Network (HEN): Design

of HEN: Design for maximum energy recovery (MER), Heat and Mass Integration in

Process Systems: Heat and Power Integration: Co-generation.

Course Outcome:

On completing the course, the student shall be able to perform systematic and

general methods for designing integrated production systems, ranging from

individual processes to total sites, with special emphasis on the efficient use of

energy and reducing environmental effects.

References:

1. Kemp I.C., “Pinch Analysis and Process Integration: A User Guide on Process

Integration for the Efficient Use of Energy”, 2nd Ed., Butterworth-Heinemann.2007

2. R. Smith, Chemical Process: Design and Integration, 1st Edition, Wiley, 2005.

3. Shenoy U.V., “Heat Exchanger Network Synthesis”, Gulf Publishing. 1995.

4. El-Halwagi M.M., “Process Integration”, 7th Ed., Academic Press. 2006

45

COURSE PLAN

COURSE NO: 07CH6140: PROCESS INTEGRATION



hours

Sem.Exam

Marks;%

I

Introduction: Process integration (PI) and its

building blocks, available techniques for

implementation of PI, application of PI.

7

15

II

Pinch Technology-an overview:

Introduction, Basic concepts, How it is different from

energy auditing, Roles of thermodynamic laws,

problems addressed by Pinch Technology.

Key steps of Pinch Technology:

Concept of ΔTmin , Data Extraction, Targeting,

Designing, Optimization-Supertargeting

Basic Elements of Pinch Technology:

Grid Diagram, Composite curve, Problem Table

Algorithm, Grand Composite Curve.

7 15

FIRST INTERNAL TEST

III

Targeting of Heat Exchanger Network (HEN):

Energy targeting, area targeting, number of units

targeting, shell targeting, cost targeting. .

7 15

IV

Design of HEN: Pinch design methods, heuristic

rules, stream splitting, design for maximum energy

recovery (MER), multiple utilities and pinches,

threshold problem, loops and paths.

7 15


V

Design tools to achieve targets, Driving force plot,

remaining problem analysis, diverse pinch concepts,

MCp ratio heuristics. Retrofit of distillation systems.

7 20

VI

Heat and Mass Integration in Process Systems: Heat

engine, heat pump, distillation column, reactor,

evaporator. Heat and Power Integration: Co-

generation, steam turbine, gas turbin.,Case studies.

7 20






teacher.


46

3hours lecture per week

Prerequisites:

Nil

Course Objectives

Introduction to neural networks, fuzzy systems, fuzzy controllers, case studies.

Syllabus

Course exposes students to understand the basics of Artificial Intelligence, Neural

networks, Fuzzy Systems and Fuzzy Controllers

Course Outcome

To develop an understanding of artificial intelligence, neural networks and Fuzzy

controllers and solve control engineering problems by designing Fuzzy controllers.

References: 1. Bart Kosko, Neural networks and fuzzy systems, Prentice Hall.

2. Timothy J Ross, Fuzzy logic with engineering applications, McGraw Hill.

3. Yegnanarayana B, Artificial neural networks, Prentice Hall.

4. Bose N. K. and P. Liang, Neural network fundamentals with graphs algorithms

and applications, McGraw Hill 5. Nie J and D. Linkens, Fuzzy- neural control: principles, algorithms and

applications, Prentice Hall.

6. S Rajasekaran and G.A. Vijayalakshmi Pai, Neural Networks, Fuzzy Logic and

Genitic Algorithms, Synthesis and Applications, Prentice Hall

07CH6110: FUZZY SYSTEMS AND CONTROL Teaching scheme Credits: 3 Year:2015

47

COURSE PLAN





teacher.


COURSE NO: 07CH6110: FUZZY SYSTEMS AND CONTROL


MODULES Contents Contact

hours

Sem.Exam

Marks;%

I

Introduction to artificial intelligence, implications

of artificial intelligence applied to problems in

chemical engineering analysis and design. Basics

of neuroscience and artificial neuron models.

8

15

II

Artificial neural networks: feed forward networks,

computational capabilities, learning rules,

adaptive multi-layer neural networks.

10 15

FIRST INTERNAL TEST

III Symmetric and asymmetric recurrent networks,

competitive and self organizing networks. 8 15

IV Introduction to fuzzy systems: fuzzy sets and

systems, universe as a fuzzy set, basic notions. 8 15


V Fuzzy relation calculations, fuzzy numbers,

indices of fuzziness, membership function. 8 20

VI

Fuzzy controllers, basic construction, analysis of

static and dynamic properties of fuzzy controllers,

case studies.

10 20


48

07CH6120: MODERN CONTROL STRATEGIES


Prerequisites:

Basic knowledge of process dynamics and control

Course Objectives

To give student an understanding of different control strategies.

Syllabus

Course exposes students to understand the process automation concepts like Supervisory

Control and Data Acquisition Systems, Programmable logic controller and Distributed

control systems.

Course Outcome

To understand the popular process automation technologies, design and develop

different PLC programming for simple process applications, understand the

different security design approaches, engineering and operator interface issues for

designing Distributed control system. And know the latest communication

technologies like HART and Field bus protocol.

Reference Books:

1.John.W. Webb Ronald A Reis, “Programmable Logic Controllers - Principles and

Applications”, 4th Edition, Prentice Hall Inc., New Jersey, 1998.

2. Lukcas M.P, “Distributed Control Systems”, Van Nostrand Reinhold Co., New York,

1986.

3. Frank D. Petruzella, “Programmable Logic Controllers”, 2nd Edition, McGraw Hill,

New

York, 1997. L T P C 3 0 0 3

4. Deshpande P.B and Ash R.H, “Elements of Process Control Applications”, ISA Press,

New York, 1995.

5. Curtis D. Johnson, “Process Control Instrumentation Technology”, 7th Edition, Prentice

Hall, New Delhi, 2002

6 Krishna Kant, “Computer-based Industrial Control”, Prentice Hall, New Delhi, 1997.





teacher.


49

COURSE PLAN




COURSE NO: 07CH6120: MODERN CONTROL STRATEGIES

(L-T-P : 3-0-0 ) CREDITS:3

MODUL

ES

Contents Contact

hours

Sem.Exam

Marks;%

I

Review of computers in process control: Data loggers,

Data Acquisition Systems (DAS), Direct Digital

Control (DDC). Supervisory Control and Data

Acquisition Systems (SCADA), sampling

considerations.

8

15

II

Functional block diagram of computer control systems.

Alarms, interrupts. Characteristics of digital data,

controller software, linearization. Digital controller

modes: Error, proportional, derivative and composite

controller modes.

8 15

FIRST INTERNAL TEST

III

Discrete state process control – characteristics – event

sequencing – Programmable logic controllers –

advantages of PLC control – Evolution of PLCs-

architecture and Hardware – Functional blocks –

symbols-PLC programming – relay logic – Ladder

diagram –Timers – counters.

8 15

IV

PLC operation- analog interfacing – PLC selection –

Micro PLCs – Design of interlocks and alarms using

PLC, PID control on PLC, Creating Ladder diagrams

from process control descriptions.

8 15


V

Interface and backplane bus standards for

instrumentation systems. Field bus: Introduction,

concept. HART protocol: Method of operation,

structure, operating conditions and applications. Smart

transmitters, examples, smart valves and smart

actuators..

10 20

VI

Distributed control systems (DCS): Definition, Local

Control (LCU) architecture, LCU languages, LCU -

Process interfacing issues, communication facilities,

configuration of DCS, displays, redundancy concept -

case studies in DCS.

10 20


50


teacher.


07CH6130: APPLIED PROCESS CONTROL Teaching scheme Credits: 3 Year: 2015 3 hours lecture per week

Prerequisites:

Basic knowledge of process dynamics and control

Course Objectives: The students are given concepts of, stability analysis, process identification, interaction

between control loops, application to evaporator.

Syllabus Introduction to system models: Stability studies based on state matrix. Process

identification techniques: general principles; Time series analysis; The single loop control;

controller tuning. Multiloop interactions- its application to the evaporator. Interaction

between control loops; design of a decoupling compensator- multi-input multi-output

controller. The Dead time compensation.

Course Outcome:

After completion of the course, the student should be able to understand how to

identify processes and implement different control algorithms for efficient control.

References: 1. Newell R.B and P.L Lee, Applied process control-a case study, Prentice-Hall. 2. Astrom K.J and B.Wittenmark, Computer controlled systems: Theory and Design,

Prentice-Hall.

3. W.L. Luyben, Process modeling, Simulation and Control for Chemical Engineers,

McGraw Hill 4. Ramirez W.F, Process control and identification, Academic Press.

5. Peter Young, Recursive estimation and time series analysis-an introduction.

51

COURSE PLAN

COURSE NO: 07CH6130: APPLIED PROCESS CONTROL

(L-T-P : 3-0-0 CREDITS:3


hours

Sem.Exam

Marks;%

I

. Introduction to system models: state equation

models, the discrete state equation, input-output

models. The difference operator.

7

15

II

Stability studies based on state matrix. The forced

circulation evaporator model – the non-linear model

and the linear model. 7 15

FIRST INTERNAL TEST

III

Process identification techniques: general principles,

parameter identification using step test. Time series

analysis and its application to the evaporator.

7 15

IV

The single loop control: single-input single-output

control loops, controller tuning. Multiloop

interactions, Bristol’s relative gain array. Feed

forward control – the feed forward compensator

design, its application to the evaporator.

7 15


V

Interaction between control loops – effects of

interaction, decoupling of control loops, design of a

decoupling compensator. Decoupler for the

evaporator.

7 20

VI

The multi-input multi-output controller. Dead time

compensation – the smith predictor, its design.

Application of dead time compensator to the

evaporator.

7 20






teacher.


52

07CH6140: BIOCHEMICAL ENGINEERING


Prerequisites:

Nil

Course Objectives: To give advanced concepts in molecular genetics, kinetics of enzymes,

bioreactors, biosensors and downstream processing.

Prerequisites:

Nil Syllabus Introduction to microbiology and chemicals of life, Biochemical processes and

bioremediation. Molecular recombinant DNA technology. Kinetics of enzymes – catalyzed

reactions, Substrate activation and inhibition, Enzyme activation and inhibition,

modulation and regulation of enzyme activity. Immobilized – enzyme technology of cells

in a batch process-phases of growth. Ideal batch reactors- fed-batch reactor, CSTR, PFR,

Non- ideal reactors. Multi-phase bioreactors Fermentation technology, Different

configurations for fermentors. Animal and plant cell reactor technology. Concept of

biosensors. Upstream and downstream processing, product recovery operations.

Purification processes like reverse osmosis, ultra filtration, electrophoresis, dialysis.

Course Outcome:

At the end of this course students will have the following capabilities

Design a bioreactor for bioprocess industries

Analysis of various bio separation processes

References: 1. Bailey and Ollis, Biochemical engineering fundamentals, 2nd Edition, McGraw

Hill international 2. Aiba, Humphrey, Millis, Biochemical engineering, 2nd Edn., Academic Press. 3. Ghose.T.K., Process computations in biotechnology, Tata McGraw Hill 4. Levenspiel O, chemical reaction engineering, 3rd Edn., Wiley Eastern 5. Shuler and Kargi, Bioprocess Engineering, first edn,Pearson education 6. Donald Wise, Bioinstrumentation and Biosensors, Pearson education





teacher.


53

COURSE PLAN

COURSE NO: 07CH6140 : BIOCHEMICAL ENGINEERING


Module

s Contents

Contact

hours

Sem.

Exam

Marks;

%

I

Introduction to microbiology and chemicals of life. Metabolic

pathways in respiration like Embden- Meyerhof- Parnas

pathway (glycolysis), TCA cycle (Krebs cycle). An

understanding of biochemical processes like photosynthesis,

biosynthesis, carbon catabolism, biosorption, bioleaching and

bioremediation. Molecular genetics, process of gene expression,

DNA replication and mutation , recombinant DNA technology,

enzymes for manipulating DNA, cloning of DNA, expression of

eukaryotic proteins in E.Coli, genetic engineering using other

host organisms.

8

15

II

Kinetics of enzymes – catalyzed reactions, Michaelis-Menten

kinetics for different types of enzyme catalysed reactions.

Solution of problems on above reactions for estimating step

constants of Michaelis-Menten equation. Substrate activation

and inhibition, Enzyme activation and inhibition, modulation and

regulation of enzyme activity. Influence of pH, temperature,

fluid forces, chemical agents and irradiation on enzyme activity-

derivation..

8 15

FIRST INTERNAL TEST

III

Growth of cells in a batch process-phases of growth. Monod

growth kinetics. Ideal batch reactors- fed-batch reactor, CSTR,

PFR, Non- ideal reactors. Multi-phase bioreactors –packed bed

type, bubble column bioreactor, fluidized bed type, trickle bed

type Mixing patterns and RTD in non-ideal bioreactors.

8 15

IV

Fermentation technology, medium formulation, design and

operation of a typical aseptic, aerobic fermentation process.

Different configurations for fermentors. Animal and plant cell

reactor technology.

6 15


V

Immobilized – enzyme technology, methods of immobilization,

immobilized enzyme kinetics –derivation, mass transfer

resistance due to immobilized enzymes. Industrial, medical,

analytical applications of immobilized enzymes. Concept of

biosensors. Physical and chemical sensors, gas analysis sensors,

online and offline sensors. Cell composition analysis

6 20

VI

Upstream and downstream processing, product recovery

operations-filtration, centrifugation, sedimentation, solvent

extraction, extraction using two-phase systems, sorption and

precipitation. Purification processes like reverse osmosis, ultra

filtration, electrophoresis, dialysis.

6 20


54

07CH6112: SEMINAR

Hours per week: 2 Credits: 2 Year : 2015

Prerequisites:

Nil

Course Objectives: To assess the debating capability of the student to present a technical topic. Also to impart

training to a student to face audience and present his ideas and thus creating in him / her

self esteem and courage that are essential for an engineer.

Syllabus

Students have to register for the seminar and select a topic in consultation with any faculty member

offering courses for the programme. A detailed write-up on the topic of the seminar is to be prepared

in the prescribed format given by the Department. The seminar shall be of 30 minutes duration and

a committee with the Head of the department as the chairman and two faculty members from the

department as members shall evaluate the seminar based on the report and coverage of the topic,

presentation and ability to answer the questions put forward by the committee.

Each student shall submit two copies of a write up on the topic. One copy certified by the

Chairman shall be returned to the student and the other will be kept in the departmental

library.

Course Outcome:

To know latest developments in chemical engineering and process control,

collect relevant information and present such technological information to the

chemical engineering community in written as well as verbal form.

Internal continuous assessment: 100 marks

A committee with the Head of the department as the Chairman and two faculty members

from the department as members shall evaluate the seminar based on the coverage of the

topic, presentation and ability to answer the questions put forward by the committee.

Marks for the report : 30%

Presentation : 40%

Ability to answer questions on the topic : 30%

55

07CH6114: MINI PROJECT

Hours per week:

Practical 2 hours per week Credits: 2 Year: 2015 Prerequisites:

Nil

Course Objective:

To practice the steps involved for the selection, execution, and reporting of the

project. To train the students for group activities to accomplish an engineering task.

Syllabus

Individual students are required to choose a topic of their interest. The subject content of

the mini project shall be from emerging / thrust areas, topics of current relevance having

research aspects or shall be based on industrial visits. At the end of the semester, the

students should submit a report duly authenticated by the respective guide, to the head of

the department.

Course Outcome:

The project helps to develop the work practice in students to apply theoretical and

practical tools/techniques to solve real life problems related to industry and current

research.

Internal Continuous Assessment: (Maximum Marks-100)

56

07CH6116: MODELING, DESIGN AND SIMULATION LAB

Hours per week:

Practical 2 hours Credits: 1 Year: 2015

Prerequisites:

Nil

Course Objectives: Programming and computation in MATLAB/SCILAB. Model development using SIMULINK/SCICOS. Design of control systems and their simulation using ASPEN, CHEMCAD and

HYSIS.

Experiments:

1. Matrix operations using MATLAB/ SCILAB

2. Solving differential equations using MATLAB/ SCILAB

3. Solving Initial Value Problem

4. Solving System of ODE

5. Solving System of stiff differential equations

6. Solving Boundary value problem

7. Simulating P, PD, PI, PID controllers using MATLAB/ SCILAB

8. Simulation of two tank system using MATLAB/ SCILAB

9. Modelling and simulating control systems using SIMULINK/ SCICOS

10. Simulation using MATLAB/SIMULINK or SCILAB/SCICOS

(a) Step response of first order system and determination of time constant.

(b) Study of the effect of time constant on speed of response.

(c) Step response of second order systems by varying damping coefficients.

(d) Stability analysis

11. Simulation Using Aspen Hysis

(a) Mass Transfer Equipments

(b) Chemical Reactors

Course Outcome:

To do Programming and computation in MATLAB/SCILAB, process control model

development using SIMULINK/SCICOS.

To design control systems and simulate using ASPEN, CHEMCAD and HYSIS

References:

1. B. Wayne Bequette, Process Control Modelling Design and Simulation, Prentice

Hall of India, 2004.

2. L. Ljung, System Identification Theory for the user – Prentice Hall PTR

,1999.

3. Ashish Tewari, Modern Control Design with MATLAB and SIMULINK,

John Wiley and Sons Ltd.

4. Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp,’ Process

Dynamics and control

57

5. Amiya K Jana, Process Simulation and Control using ASPEN, Prentice Hall of

India Pvt. Ltd.

Internal Continuous Assessment (Maximum Marks-100):

Practical Records/outputs: - 40%

Regular class Viva-Voce: - 20% Final Test (Objective) - 40%

58

THIRD SEMESTER

07CH7101 COMPUTATIONAL FLOW MODELLING


Prerequisites:

Nil

Course Objectives

To develop in students, the expertise of computational flow modelling and solution of model

equations and to familiarise with reactive and multiphase flow modelling.

Syllabus

Introduction to computational modelling of flows, Numerical methods for CFD,

Application of numerical methods to selected model equations, Solution of Navier Stokes

equation, Turbulence modelling, Introduction to reactive and multiphase flow modelling.

Course Outcome

Students will demonstrate capability to:

formulate simplified models of complex fluid flow systems by applying

knowledge of maths and science.

apply various numerical techniques in solving fluid flow models.

assess the accuracy of a numerical solutions by comparison to known

solutions of simple test problems.

References:

1. Anderson, John David, “Computational Fluid Dynamics: The Basics with

Applications”. McGraw Hill, 1995.

2. Anderson, D. A, Tanneheil, J. C. and Pletcher, R. H., “Computational Fluid

Mechanics and Heat transfer”, Hemispher, New York, 1984.

3. Ferziger, J. H and Peric, M., “Computational methods for Fluid Dynamics”. Third

edition, Springer-Verlag, Berlin, 2003.

4. Ranade, V., Computational Flow Modelling for Chemical Reaction Engineering,

Academic Press, 2002.

5. Patankar, Suhas, V., Numerical Heat Transfer and Fluid Flow, McGraw Hill,

Washington, 1980

6. Chung, T.J. “Computational Fluid Dynamics”. Second Edition, Cambridge

University

press, Cambridge, UK, 2010.

7. Versteeg, H. K. and Malalasekara, W.” Introduction to Computational Fluid

Dynamics: The Finite Volume Method”. Second Edition (Indian Reprint) Pearson

Education, 2008.

59

COURSE PLAN

COURSE NO: 07CH7101 COMPUTATIONAL FLOW MODELLING



hours

Sem.Exam

Marks;%

I

Introduction to Computational Modelling of Flows:

Index notation of vectors and tensors-Control volume

-Reynolds Transport Theorem .Governing equations

- Non dimensional forms - Phenomenological

models- Boundary conditions – Classification.

6

15

II

Numerical methods for CFD: Classification of PDEs

Basic discretization methods- Mesh- iterative

methods. Stability, convergence and consistency of

numerical schemes. Von-Neumann analysis for

stability-Courant-Friedrich-Lewi criterion.

6 15

FIRST INTERNAL TEST

III

Application of numerical methods to selected model

equations: Wave equation, Heat equation, Laplace’s

equation, Burgers’ equation. First order, Second order

and higher order upwind, Lax Wendroff,

MacCormack methods.

6 15

IV

Solution of the Navier Stokes equations:

Discretization of convective, viscous, pressure and

body force terms-conservation properties-

Structured and unstructured grids- Staggered and

collocated grids, SIMPLE, PISO and PROJECTION

algorithms

6 15


V

Turbulence Modelling: The Turbulence Problem,

Algebraic and Differential Models. Direct Numerical

Simulation, Turbulent viscosity models. RANS

models, Large Eddy Simulation

9 20

VI

Introduction to Reactive and Multiphase Flow

Modelling: Reactor modelling (RTD

Studies),Combustion Modelling Multiphase Flow

modelling - Fluid/Fluid, Fluid/Solid

9 20






teacher.


60

07CH7111 PROCESS SAFETY ENGINEERING

Teaching scheme Credits: 3 Year: 2015 3 hours lecture per week Prerequisites: Nil

Course Objectives

This is a detailed study of the principles and practice of process safety is intended. Hazard

Analysis of Chemical plants, Case studies, Safe Design, Risk Assessment, Reliability and

Human error analysis

Syllabus

Special Hazards of Chemicals, Identification of Hazards, Technique for Hazard Evaluation,

Consequence Analysis and Quantitative Risk Assessment, Inherent Safety and Process

Intensification, Process Reliability and Human Error Analysis.

Outcome:

To learn about fundamental understanding of process safety, various hazards in

process plant like fire, explosions and the ways to prevent fire and explosions,

toxicology studies and industrial hygiene.

To perform hazard identification techniques like HAZOP, safety reviews, Risk

assessment, Event Tree and Fault Tree techniques and familiarize Case studies.

References: 1. Lees F.P,,Loss Prevention in Process Industries,Vol.1,2&3,Second

Edn,Butterworth-Heinemann.1996

2. Guidelines for Hazard Evaluation Procedure. Centre for Chemical

Process Safety.AICHE,1992 3. Ralph King, Safety in the Process Industries, Butterworth-Heinemann

4. Wells.G.L, Safety in Process Plant Design, George Godwin Ltd, London

5. Daniel A.Crowl & Joseph F Louvar, Chemical Process Safety, Second Edition, Prentice

Hall International series .

6. Guidelines for Chemical Process Quantitative Risk analysis, Second edition, Centre for

Chemical Process Safety. AICHE.

61

COURSE PLAN

COURSE NO: 07CH7111 PROCESS SAFETY ENGINEERING



hours

Sem.Exam

Marks;%

I

Special Hazards of Chemicals – Toxicity,

Flammability, Explosions, Sources of Ignition,

Ionising Radiation, Runaway reactions.

7

15

II

Identification of Hazards- Inventory analysis, Dow

Fire and Explosion Index, Mond Fire, Explosion

and Toxicity Index. Major Industrial Hazards-

Reasons, Flixborough and Bhopal disasters.

7 15

FIRST INTERNAL TEST

III

Technique for Hazard Evaluation- Hazard and

Operability Study, Preliminary Hazard Analysis,

What if Analysis, Fault Tree Analysis, Event Tree

Analysis, Examples.

7 15

IV

Consequence Analysis and Quantitative Risk

Assessment- Consequence of Chemical accidents.

Models for Fire, Explosion and Toxic gas

dispersion.

7 15


V

Calculation of Individual and Societal Risk,F-N

curves, Probit function. Elements of Emergency

Planning- On site and Off site emergency plan.

7 20

VI

Inherent Safety and Process Intensification-The

concept of Inherent Safety, Tools for Inherent

Process Safety. Inherent Safety Indices. The

concept of Process Intensification. Process

Reliability and Human Error Analysis-Basic

Principles of Reliability engineering.

7 20






teacher.


62

07CH7121 COMPUTATIONAL TECHNIQUES IN CONTROL ENGINEERING


Prerequisites:

Nil

Course Objectives:

This course is an adaptation of numerical methods pertaining to control engineering

problems. The algorithms are set in a numerical algebraic framework and are designed

and analyzed in a formal way.

Syllabus

Linear Algebra – Vector spaces, Orthogonality, Matrices, Kronecker Product Development

of software exclusively for control theoretic problems. Numerical Linear Algebra; Control

Systems Analysis – Linear State-space models and solutions of the state equations, Control

Systems Design –Optimal Control, Large scale Matrix computations, Some Selected

Software – MATLAB, MATHEMATICA, SCILAB.

Course Outcome:

After completion of this course, the student would be able to develop software for

control theoretical problems.

References

1. B.N. Datta, Numerical Methods for Linear Control Systems, Academic

Press/Elsevier, 2005

2. G.H. Golub & C.F. Van Loan, Matrix Computations, 4/e, John Hopkins University

Press, 2007

3. A. Quarteroni, F. Saleri, Scientific Computing with MATLAB, Springer Verlag,

2003.

4. www. s c i l a b . o r g / d own l o a d /

63

COURSE PLAN

COURSE NO: 07CH7121: COMPUTATIONAL TECHNIQUES IN CONTROL

ENGINEERING



hours

Sem.Exam

Marks;%

I

Linear Algebra – Vector spaces, Orthogonality,

Matrices, Vector and Matrix Norms, Kronecker

Product Development of software exclusively for

control theoretic problems.

7

15

II

Numerical Linear Algebra – Floating point numbers

and errors in computations, Conditioning,

Efficiency, Stability, and Accuracy, LU

Factorization, Numerical solution of the Linear

system Ax = b, QR factorization, Orthogonal

projections, Least Squares problem, Singular Value

Decomposition, Canonical forms obtained via

orthogonal transformations.

7 15

FIRST INTERNAL TEST

III Control Systems Analysis – Linear State-space

models and solutions of the state equations. 7 15

IV Controllability, Observability, Stability, Inertia, and

Robust Stability, Numerical solutions and

conditioning of Lyapunov and Sylvester equations.

7 15


V

Control Systems Design – Feedback stabilization,

Eigenvalue assignment, Optimal Control, Quadratic

optimization problems, Algebraic Riccati

equations, Numerical methods and conditioning,

State estimation and Kalman filter.

7 20

VI

Large scale Matrix computations, Some Selected

Software – MATLAB, MATHEMATICA,

SCILAB.

7 20






teacher.


64

07CH7131: DIGITAL SELF TUNING CONTROL


Course Objectives: To give an overview of various methods of digital self tuning control

methodologies for control of different processes.

Prerequisites:

Nil

Syllabus

Introduction to adaptive control- formulation, design. Self-tuning controllers. Robustness

studies multivariable system. Model updating; Industrial Applications Identification

algorithms- Self- tuning PID controllers, nonlinear PID controllers, Algebraic methods foe

self-tuning controllers design- stability, tuning. Solving problems using

MATLAB/SCILAB.

Course Outcome:

Upon completing the course, the student should be able to understand

Adaptive control techniques

Identification for the use in self-tuning controllers

Self-tuning PID controllers

How to use simulation tools such as MATLAB/SCILAB

Text books:

1. V.Bopal, J. Bohm, J.Fessel and J.Machacek. “Digital Self Tuning Controllers”,

Springer,2005.

2. Astrom .K, Adaptive Control, Second Edition, Pearson Education Asia

Reference books

1. Chalam, V.V., "Adaptive Control Systems", Techniques & Applications, Marcel

Dekker, Inc. NY and Basel. 1987.

Eveleigh, V.W., "Adaptive Control and Optimisation Techniques". McGraw-Hill,

1967.

2. Narendra and Annasamy, "Stable Adaptive Control Systems", Prentice Hall, 1989.

3. Astry, S. and Bodson, M., "Adaptive Control", Prentice Hall,1989.

4. M. Gopal, “Digital Control and State Variable Methods”, 3rd edn., Tata McGraw-

Hill Publishing Company Ltd., New Delhi.

65

COURSE PLAN

COURSE NO: 07CH7131: DIGITAL SELF TUNING CONTROL



hours

Sem.Exam

Marks;%

I

Intoduction to adaptive control- formulation, design

on heuristic approach. Model reference adaptive

controllers.

7

15

II

Self tuning controllers. System identification for

self tuning controllers- stochastic process models.

Recent trends in self-tuning. 7 15

FIRST INTERNAL TEST

III

Robustness studies multivariable system. Model

updating General-purpose adaptive regulator.

Application to Process control components and

systems. Industrial Applications.

7 15

IV

Identification algorithms- least squares, recursive

least squares based methods Self- tuning PID

controllers, nonlinear PID controllers, controllers

for operational use.

7 15


V Algebraic methods foe self tuning controllers

design- Dead- beat methods, pole assignment

methods, Linear Quadratic methods..

7 20

VI

Self tuning linear quadratic controllers- principle,

optimization approach, stochastic approach,

stability, tuning. Solving problems using

MATLAB/SCILAB

7 20






teacher.


66

07CH7103: PROCESS MODELLING AND SIMULATION


Prerequisites:

Basic knowledge of heat transfer, mass transfer, and fluid flow operations

Course Objectives

To impart in student, the knowledge and capability to develop mathematical models of

phenomena involved in various chemical engineering processes and to apply suitable

solution techniques.

Syllabus

Definitions and basic concepts, Fundamental laws of chemical engineering, Models of

reactors, Models of separation processes, Distributed system modelling, Numerical

simulation techniques.

Course Outcome

Students will demonstrate capability to:

understand the important physical phenomena from the problem statement

develop model equations for the given system

perform parameter estimations

apply suitable numerical simulation methods for solution of models

References:

1. Denn M. M., "Process Modeling", Longman, 1986.

2. Holland C. D., "Fundamentals and Modeling of Separation Processes", Prentice

Hall., 1975.

3. Luyben W. L., "Process Modeling Simulation and Control for Chemical

Engineers", 2nd Ed., McGraw Hill, 1990.

4. Najim K., "Process Modeling and Control in Chemical Engineering", CRC, 1990.

5. Aris R., "Mathematical Modeling, Vol. 1: A Chemical Engineering Perspective

(Process System Engineering)", Academic Press, 1999.

6. R. G. E. Franks, Modeling and Simulation in Chemical Engineering, Wiley-

Interscience, New York, 1972.

67

COURSE PLAN

COURSE NO. 07CH7103: PROCESS MODELLING AND SIMULATION

(L-T-P : 3-0-0) CREDITS: 3

Module

s Contents Contact

hours

Sem.Exam

Marks;%

I

Definitions and basic concepts:

Definition of Modelling, Simulation

Classification of modelling techniques

Basic modelling principles

Parameter estimation techniques in theoretical as well as

numerical models.

6

15

II

Fundamental laws of chemical engineering:

Energy equations, continuity equation, equation of

motion, transport equations, equations of state,

Equilibrium states and chemical kinetics

Modeling of continuous flow tank

6 15

FIRST INTERNAL TEST

III

Models of reactors:

Mixing with reaction - reversible reaction-steam jacketed

vessel-isothermal constant and variable holdup CSTR in

series-

6 15

IV

Models of separation processes:

Multicomponent flash drum- ideal binary distillation

column – multicomponent distillation column, batch

distillation-condensation

6 15


V

Distributed system modelling:

Jacketed tubular reactor - laminar flow in a pipe

counter current liquid-liquid heat exchanger 9 20

VI

Numerical simulation techniques:

Finite difference, method of weighted residuals.

Orthogonal collocation to solve PDEs.

Simulation of gravity flow tank- CSTR in series - non-

isothermal CSTR- batch reactor

9 20






teachers


68

07CH7113 COMPUTATIONAL METHODS FOR PROCESS DESIGN


Prerequisites:

Basic concepts of simulation and mathematical methods in engineering

Course Objectives:

To give the student an understanding of Computer aided steady state analysis,

Flowsheeting, Methods of tearing, Simulation.

Syllabus

Computerized physical property systems- Mathematical methods; computerized physical

property systems; Flow sheeting by equation solving methods- Simulation by linear

methods, Simulation by quasi linear methods, simulation of flow in pipe networks.

Course Outcomes

On learning the course, the student will be able to use computers to solve problems

by step-wise, repeated and iterative solution methods, which would otherwise be

tedious or unsolvable by hand-calculations.

References: 1. A.W. Westerberg et al, Process flow sheeting, Cambridge University Press.

2. Lorenz T Biegler et al, Systematic method of Chemical Process Design, Prentice

Hall 3. C.M. Crowe et al, Chemical plant simulation-an introduction to computer

aided steady state analysis, Prentice Hall.

4. Anil Kumar, Chemical process synthesis and engineering design, TMH,1981.

69

COURSE PLAN

COURSE NO. 07CH7113 COMPUTATIONAL METHODS FOR PROCESS DESIGN

(L-T-P : 3-0-0) CREDITS: 3


hours

Sem.Exam

Marks;%

I

Mathematical methods used in flow sheeting and

simulation, solution methods for linear and non-

linear algebraic equations, solving one equation

with one unknown, solution methods for linear

equations.

9

15

II

General approach for solving sets of non-linear

equations, solving sets of sparse non-linear

equations. Computerized physical property systems

– physical property calculations, degrees of freedom

in process design, degrees of freedom for a unit,

degrees of freedom in a flow sheet,

9 15

FIRST INTERNAL TEST

III

Steady state flow sheeting and process design,

approach to flow sheeting systems, introduction to

sequential modular approach, simultaneous

modular approach and equation solving approach,

sequential modular approach to flow sheeting,

examples.

9 15

IV

Tear streams, convergence of tear streams,

partitioning and tearing of a flow sheet, partitioning

and precedence ordering, tearing a group of units.

9 15


V

Flow sheeting by equation solving methods based

on tearing, modelling considerations, solution

procedure, examples.

9 20

VI

Simulation by linear methods, application to staged

operations, absorption column, flash drum,

simulation by quasi linear methods, simulation of

flow in pipe networks, application to distillation and

multiple reaction equilibrium

9 20






teacher.


70

07CH7123: NANOMATERIAL AND NANOTECHNOLOGY


Prerequisites:

Knowledge of material science.

Course Objectives: To impart the basic concepts of nanotechnology, To develop understanding about

application of nanomaterials.

Syllabus

Introduction to nanotechnology; chemistry and physics of nanomaterials; Properties of

nanomaterials-synthesis of nanomaterials. Different types of characterization techniques;

Nanocomposites, nanofillers, high performance materials, Nanolithography,

softlithography. Introduction to MEMS, NEMS and nanoelectronics. Introduction to

bionanotechnology and nanomedicines.

Course Outcome:

To know the use of nano-materials, their processing and preparation for different

applications.

To explain characterization techniques like SEM, AFM, TEM & STM

To explain nanocomposites, nanofillers, high performance materials, safety issues

with nanoscale powders.

To explain fabrication techniques, application of nanotechnology in electronics and

biomedical field. References: 1. Pulikel M. Ajayan, Nanocomposite science and technology, Wiley-VCH 2005

2. David G. Bucknall, Nanolithography and patterning techniques in

microelectronics, Wood head publishing 2005

3. Chemistry of nanomaterials Synthesis, properties applications by CNR et.al

4. D.K. Ferry and S.M. Goodmick, Transport in Nanostructures, Cambridge university

press 1997.

5. F. Wooten, Optical properties of solids, Academic press 1972

6. Zheng Cui, Micro and Nanofabrication, Springer 2005

7. Jackie Y. Ying, Nanostructured materials, Academic press 2001

8. W.R, Fahrner, Nanotechnology and nanoelectronics, Springer 2005

71

COURSE PLAN

COURSE NO 07CH7123: NANOMATERIAL AND NANOTECHNOLOGY

(L-T-P : 3-0-0) CREDITS: 3


hours

Sem.Exam

Marks;%

I

Introduction to nanotechnology, electromagnetic

spectrum, top down and bottom up approach, particle

size and its significance, chemistry and physics of

nanomaterials, electronic phenomenon in

nanostructures.

7

15

II

Properties of nanomaterials. Synthesis of nanomaterials

like gold, silver, different types of nano-oxides, Al2O3,

TiO2, ZnO etc. Sol-gel methods, chemical vapour

deposition etc.

7 15

FIRST INTERNAL TEST

III

Carbon nanotubes - preparation properties. Different

types of characterization techniques like SEM, XRD,

FTIR, AFM, TEM & STM.

7 15

IV

Nanocomposites, nanofillers, high performance

materials, polymer nanocomposites, nanoclays,

nanowires, nanotubes, nanoclusters etc.

7 15


V Nanolithography., softlithography. Introduction to

MEMS, NEMS and nanoelectronics. 7 20

VI Introduction to bionanotechnology and nanomedicines-

impact and applications. 7 20






teacher.


72

07CH7133: DISTILLATION CONTROL


Prerequisites:

Knowledge of mass transfer operations and distillation.

Course Objective: Expose students about the control of an energy intensive and an

important unit operation in chemical engineering.

Syllabus

Distillation operations - Binary separation concepts - McCabe - Thiele diagram -

Introduction to multicomponent separation -. Classification of control schemes for

distillation; Process identification - frequency response - Controller tuning; Dynamic

modelling and simulation.

Course Outcome: Upon completing the course, the student should have understood the

calculation of various parameters in distillation systems

importance of location of measurements

the pairing and interaction in the multivariable control system

the gain directions and use of it in control system design

Text books:

1. P.B. Deshpande, “Distillation Dynamics and Control”, ISA, 1985.

2. R.E.Treybal, “Mass Transfer Operations”, Third Edn., McGraw Hill, 1993.

References:

1. F.G. Shinskey, “Distillation Control”, McGraw Hill, 1977. 2. P.S. Buckley,

W.L.Luyben,

2. P.S. Shunta and, “Design of Distillation Column Control Systems”, ISA, 1985.

73

COURSE PLAN

COURSE NO. 07CH7133: DISTILLATION CONTROL

(L-T-P : 3-0-0) CREDITS: 3


hours

Sem.Exam

Marks;%

I

Introduction to distillation operations - Binary

separation concepts - McCabe - Thiele diagram - other

parameters in binary distillation.

8

15

II Introduction to multicomponent separation - Minimum

reflux - Number of plates calculations. 6 15

FIRST INTERNAL TEST

III

Classification of control schemes for distillation -

Control of XD and XB upsets in F and XF - Control of

XD and XB for upsets in F and XF - Choice of

temperature measurement to infer composition

7 15

IV

Process identification - frequency response - Controller

tuning. Dead time compensation - Smith and analytical

predictors. Feed forward, cascade and Parallel Cascade

control for distillation columns.

7 15


V

Dynamic modelling and simulation. Pairing and

Interaction in distillation - Proper pairing in single and

dual composition control.

7 20

VI

Relative Gain Analysis - Decoupling for non-

interacting control. Inferential Control Schemes for

distillation. Model Algorithmic Control - DMC control

strategy - comparison of MAC with classical feedback

design. Adaptive control.

7 20


Internal continuous assessment: 40 marks Internal continuous assessment is in the form of two internal tests, tutorials/assignments,

seminars or a combination of all whichever suits best. The assessment details are to be

announced right at the beginning of the semester by the teacher.


74

07CH7105: SEMINAR

Teaching scheme Credits: 2 Year: 2015 2 hours per week

Prerequisites:

Nil

Course Objectives : To assess the debating capability of the student to present a technical topic. Also to

impart training to a student to face audience and present his ideas and thus creating in

him / herself esteem and courage that are essential for an engineer.

Outline

Individual students are required to choose a topic of their interest from Process

Control related topics preferably from outside the M.Tech syllabus and give a

seminar on that topic about 45 minutes. A committee consisting of at least three

faculty members shall assess the presentation of the seminar and award marks to

the students. Each student shall submit two copies of a write up of his / her

seminar topic. One copy shall be returned to the student after duly certifying it by

the Chairman of the assessing committee and the other will be kept in the

departmental library. Internal continuous assessment marks are awarded based on

the relevance of the topic, presentation skill, quality of the report and

participation.

Course Outcome:

To know latest developments in chemical engineering and process control,

collect relevant information and present such technological information to the

chemical engineering community in written as well as verbal form.

Internal continuous assessment: 100 marks A committee with the Head of the department as the Chairman and two faculty members

of the department as members shall evaluate the seminar based on the coverage of the topic,

presentation and ability to answer the questions put forward by the committee.

75

07CH7105: PROJECT (PHASE 1)

Teaching scheme:

12 hours per week Credits: 6 Year:2015

Pre- requisites:

Nil

Course Objective: To improve the professional competency and research aptitude by touching the areas

which otherwise not covered by theory or laboratory classes. The project work aims to

develop the work practice in students to apply theoretical and practical tools/techniques

to solve real life problems related to industry and current research.

Course Outcome:

To identify chemical process or control problems, formulate, analyze and develop

solution to them; write draft reports and present them to the professional

community.

The project work can be a design project, experimental project and or computer simulation

project on chemical engineering or any of the topics related with chemical

engineering/process control stream. The project work is allotted individually on different

topics. The students shall be encouraged to do their project work in the parent institute

itself. Department will constitute an Evaluation Committee to review the project work. The

Evaluation committee consists of at least three faculty members of which internal guide

and another expert in the specified area of the project shall be two essential members.

The student is required to undertake the masters research project phase-I during

the third semester and the same is continued in the 4th semester (Phase-II). Phase-I consists

of preliminary thesis work, two reviews of the work and the submission of preliminary

report. First review would highlight the topic, objectives, methodology and expected

results. Second review evaluates the progress of the work, preliminary report and scope of

the work which is to be completed in the 4th semester. Internal Continuous assessment:

Progress evaluation by guide : 20 marks

Presentation and evaluation by the committee: 30 marks

Total 50 marks

76

FOURTH SEMESTER

07CH7102: PROJECT (PHASE 2) Teaching scheme:

21hours per week Credits: 12 Year: 2015

Course Objectives: To improve the professional competency and research aptitude by touching the areas

which otherwise not covered by theory or laboratory classes. The project work aims to

develop the work practice in students to apply theoretical and practical tools/techniques

to solve real life problems related to industry and current research.

Course Outcome:

To identify chemical process or control problems, formulate, analyze and develop

solution to them; write draft reports and present them to the professional

community.

Project (Phase-2) is a continuation of project phase-1started in the third

semester. Before the end of the fourth semester, there will be two reviews, one at middle

of the fourth semester and other towards the end. In the first review, progress of the project

work done is to be assessed. In the second review, the complete assessment (quality,

quantum and authenticity) of the Thesis is to be evaluated. Both the reviews should be

conducted by guide and Evaluation committee. This would be a pre qualifying exercise for

the students for getting approval for the submission of the thesis. At least one technical

paper is to be prepared for possible publication in journal or conferences. The technical

paper is to be submitted along with the thesis. The final evaluation of the project will be

external evaluation. Internal Continuous assessment:

Guide 30marks

Evaluation committee 40 marks

End semester Examination: 30 marks

KERALA TECHNOLOGICAL UNIVERSITY CHEMICAL ENGINEERING

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