C.V. Raman College of Engineering, (An Autonomous

C.V. Raman College of Engineering, (An Autonomous Institute Affiliated to BPUT, Odisha)

Bidyanagar, Mahura, Janla, Bhubaneswar - 752 054 (Orissa)

FOURTH YEAR B.TECH COURSE STRUCTURE FOR ADMISSION BATCHES 2015-16 & 2016-17

APPLICABLE FROM 2018-19

7th SEMESTER

Sl. No.

CODE SUBJECT SUBJECT TYPE TEACHING SCHEME

CREDIT

L P T S1 CH40119 Process Modelling & Simulation THEORY – CORE 3 0 1 4 S2 CH40120 Industrial Pollution Control &

waste management THEORY – CORE 3 0 0 3

S3 CH42109 / CH42110

Food Biotechnology / Process Engineering & Feasibility

ELECTIVE – I [Programme]

3 0 0 3

S4** CH46101 / CH46102

Material Science & Engineering / Environmental & Energy Engineering

ELECTIVE – II [Open Elective]

3 0 1 4

P1 CH40301 Computer Aided Design Lab LAB CORE 0 2 0 1 P2 CH42301

/ CH42302

Food Biotech Lab / Process Engineering & Feasibility Lab

LAB OF ELECTIVE -I

0 2 0 1

P3 IN47404 Industrial Training Report & Viva-voce

LAB 0 2 0 1

P4 MB41301 ETHICS FOR ENGINEERS LAB 0 2 0 1 MP CH47397 MAJOR PROJECT - II PROJECT 0 6 0 3

TOTAL 12 10 2 21 8th SEMESTER

Sl. No.

CODE SUBJECT SUBJECT TYPE TEACHING SCHEME

CREDIT

L P T S1 CH40121 Advanced Fuel & Combustion

Technology THEORY – CORE 3 0 1 4

S2 CH40116 Petroleum Refinery Engineering THEORY – CORE 3 0 0 3 S3 MA43117

/ MA43118

Advanced Numerical Methods / Numerical and Optimization Techniques

ELECTIVE – III [Programme]

3 0 0 3

S4## CH46103 / CH46104

Solid Waste Technology & Management / Multiphase Flow

ELECTIVE – IV [Open Elective]

3 0 1 4

P1 CH40305 Fuel & Combustion Technology Lab

LAB CORE 0 1 0 1

P2 MA41319 Computation Method Lab LAB OF ELECTIVE -III

0 2 0 1

MP CH47398 MAJOR PROJECT - III 0 8 0 5 TOTAL 12 12 2 21

List of Courses under OPEN ELECTIVES offered from the Department of Chemical Engineering for the other Departmental Students in 7th & 8th Semesters respectively: Sl. No. Semester SUBJECT

TYPE Code Subject

S4** 7th Semester ELECTIVE – II [Open Elective]

CH46101 Material Science & Engineering CH46102 Environmental & Energy Engineering

S4## 8th Semester ELECTIVE – IV [Open Elective]

CH46103 Solid Waste Technology & Management CH46104 Multiphase Flow



CH40119: Process Modelling & Simulation [3-0-0] Credits: 04 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Knowledge of Engineering Mathematics covering Numerical Methods,

Chemical Process Calculations, Chemical Reaction Engineering, Process Heat Transfer and

Mass Transfer.

Objectives:

To have an understanding of the terms involved in conservation of mass, momentum and

energy equations.

To acquire knowledge of developing models for CSTR’s, batch reactors, distillation

columns.

To provide training to solve the model equations using numerical techniques.

Course Outcomes: After completion of the course, the students will able to -

CO1. Analyze physical and chemical phenomena involved in various processes.

CO2. Determine mathematical models for various chemical processes.

CO3. Explain various simulation approaches.

CO4. Illustrate simulating process models.

CO5. Simulate process model using process simulators.

Course Details:

Unit 1: Introduction to Modeling and Fundamental Laws (06 Hrs)

U1.1.Fundamental laws – Continuity equation, Energy equation, Equations of motion,

Transport equations, Equations of state.

U1.2.Self-study topics: Phase and Chemical Equilibrium, Chemical kinetics.

Unit 2: Modeling of Chemical Engineering System –I (06 Hrs)

U2.1.Series of isothermal constant holdup Continuous Stirred Tank Reactor (CSTR),CSTR

with variable holdup, Two heated tanks, Gas phase pressurized CSTR.

U2.2.Self-study topics: Non-isothermal CSTR, Single component vaporizer.

Unit 3: Modeling of Chemical Engineering System – II (06 Hrs)

U3.1. Batch Reactor, Reactor with mass transfer, Multi-component flash drum, Ideal binary

distillation column.

U3.2. Self-study topics: Batch distillation with holdup.

Unit 4: Dynamic Simulations – I (06 Hrs)

U4.1. Batch reactor, Gravity flow tank, Three CSTR in series, Non-isothermal CSTR.

U4.2. Self-study topics: Finding solution of related problems.



Unit 5: Dynamic Simulations – II (06 Hrs)

U5.1.Binary distillation column, Multi-component distillation column, Variable pressure

distillation column, Ternary batch distillation with holdup.

U5.2. Self-study topics: Finding solution of related problems.

Note: Five assignments to be given to the students based on Self-Study, comprising of one

assignment from each unit.

Text Books:

1. William L. Luyben, Process Modeling simulation and control for chemicalEngineers, 2nd

Edn., McGraw Hill International Editions, New York, 1990

Reference Books:

1. Jana, A. K., “Chemical Process Modelling and Computer Simulation,” 3rd Edn., Prentice-

Hall, New Delhi,2018.

2. Ismail Tosun, Modeling in Transport Phenomena – A Conceptual Approach, 2nd Edn.,

Elsevier Publications 2007

3. Davis M.E., Numerical Methods and Modeling for Chemical Engineers, Wiley, New York,

1984

Open source learning:

http://nptel.ac.in/

http://ocw.mit.edu/courses/chemical-engineering/

CH40119: Process Modelling & Simulation [0-0-1] Teaching Scheme: Tutorial 01 Hr / Week

Prerequisites: Knowledge of Engineering Mathematics covering Numerical Methods,

Chemical Process Calculations, Chemical Reaction Engineering, Process Heat Transfer and

Mass Transfer.

Objectives:

To have an understanding of the terms involved in conservation of mass, momentum and

energy equations.

To acquire knowledge of developing models for CSTR’s, batch reactors, distillation

columns.

To provide training to solve the model equations using numerical techniques.


CO1. Analyze physical and chemical phenomena involved in various processes.



CO2. Determine mathematical models for various chemical processes.

CO3. Explain various simulation approaches.

CO4. Illustrate simulating process models.

CO5. Simulate process model using process simulators.

List of Contents:

Tutorial No. 1: Development of the mathematical model ofisothermal constant holdup

Continuous Stirred Tank Reactor (CSTR).

Tutorial No. 2: Development of the mathematical model of CSTR with variable holdup.

Tutorial No. 3: Development of the mathematical model of two heated tanks.

Tutorial No. 4: Development of the mathematical model of gas phase pressurized CSTR.

Tutorial No. 5: Development of the mathematical model of non-isothermal CSTR.

Tutorial No. 6: Development of the mathematical model of single component vaporizer.

Tutorial No. 7: Development of the mathematical model of batch reactor.

Tutorial No. 8: Development of the mathematical model of Multi-component flash drum.

Tutorial No. 9: Development of the mathematical model of ideal binary distillation column.

Tutorial No.10: Development of the mathematical model of batch distillation with constant

holdup.

Tutorial No. 11: Development of the mathematical model ofthree CSTR in series.

Tutorial No. 12: Study of Variable pressure distillation column.

Text Books:

1. William L. Luyben, Process Modeling simulation and control for Chemical Engineers, 2nd

Edn., McGraw Hill International Editions, New York, 1990

Reference Books:

1. Jana, A. K., “Chemical Process Modelling and Computer Simulation,” 3rd Edn., Prentice-

Hall, New Delhi,2018.

2. Ismail Tosun, Modeling in Transport Phenomena – A Conceptual Approach, 2nd Edn.,

Elsevier Publications 2007

3. Davis M.E., Numerical Methods and Modeling for Chemical Engineers, Wiley, New York,

1984


http://nptel.ac.in/

http://ocw.mit.edu/courses/chemical-engineering/



CH40120: Industrial Pollution Control and waste management [3-0-0] Credits: 03 Teaching Scheme: Theory 03 Hrs / Week

Prerequisite: Basic knowledge in environmental science and engineering.

Course Objectives:

To impart knowledge on sources and characteristics of various industrial wastes

To impart knowledge on the principles of various processes involved in the treatment of

industrial pollutants such as air, water and solid.

To make the students knowledgeable with respect to the subject and itspractical

applicability.

To promote understanding of basic and advanced concepts in industrial pollution aspects

and waste management technologies.

Course Outcomes: On completion of the course, the students will able to -

CO1. Explain the types of industrial pollutants and their effects on human health.

CO2. Apply knowledge in causes of water pollution and preventive methods, waste water

sampling and analysis for determination of inorganic and organic matters.

CO3. Be acquainted with source and effects of air pollution on human health and

environment, monitoring and controlling air pollution.

CO4. Explicate the types, sources and ecological effects of soil pollutants, and solid waste

management technologies.

CO5. Differentiate the sources of various industrial chemicals causing liquid wastes.

Course Details:

Unit-I: Introduction (08 Hrs)

U1.1.Types of industries and industrial pollution, characteristics of industrial wastes, effects

of industrial effluents on streams, sewer, land, sewage treatment plants and human health.

Noise pollution: sources and control. Soil pollutants, causes of soil pollution, control of soil

pollution. Environmental legislations related to prevention and control of industrial effluents

and hazardous wastes.

U1.2.Self-study topics: Greenhouse effect, ozone depletion, global warming.

Unit-II: Water Pollution & Control Engineering (06 Hrs)

U2.1.Natural process, pollution due to industrial, agricultural and municipal wastes,

limitations of disposal by dilution. Water and waste water treatment processes, operating

process factors and parameters. Biochemical treatment processes and equipments.

U2.2.Self-study topics: Types of sampling and analysis, determination of organic and



inorganic matters, physico-chemical characteristics, bacteriological measurements.

Unit-III: Air Pollution & Control Engineering (04 Hrs)

U3.1.Pollution and their sources, effects of pollution on human health, vegetation and

climate, prevention and control of particulate, industry and air-pollution surveys and

sampling, air quality monitoring, air pollution control equipments.

U3.2.Self-study topics: Particulate emission control, gravitational settling chambers, cyclone

separator, bag filter and electrostatic precipitator.

Unit-IV: Solid and Liquid Waste Treatment & Engineering (08 Hrs)

U4.1.Solid waste: Solid wastes, classification, scope of solid waste management, recycle,

reuse. Recovery of valuable materials from process effluents of fertilizer, plastics, paper and

pulp, petroleum and petrochemicals industries. Sanitary landfills and design. Incineration.

Biochemical treatment processes and recovery of biogas.

Liquid waste: Industrial and domestic waste water (in terms of quality and quantities),

treatment processes, environmental aspect of liquid wastes treatment and reuse. Brief outlines

of treatment plant and operation. Combined and common effluent treatment plant operation.

U4.2.Self-study topics: Physiochemical properties of municipal solid wastes, aerobic and

anaerobic treatments, physico-chemical steps in waste water treatment plants.

Unit-V: Solid Wastes Management & Case Studies (04 Hrs)

U5.1.Environmental Engineering & Management in industries, such as heavy and fine

chemicals industries, food and pharmaceutical industries, power plant, ore and mineral

processing industries. EIA. EMP.

U5.2.Self-study topics: Effluent Treatment Plant Design and Operation.

Note: Five assignments to be given to the students based on Self-Study, comprising of one


Text Books:

1. C.S Rao, Environmental Pollution Control Engineering, New Age International

Publishers, 1991.

2. Pandey G.N. and Carney G.C., Environmental Engineering, Tata McGraw Hill, New

Delhi, 1989.

Reference Books:

1. Kapoor .B.S, Environmental Engineering, 3rd Edn., Khanna Publishers,1997.

2. Mahajan S.P., Pollution Control in Process Industries, 1st Edn., Tata McGraw Hill

Publishing Company Ltd., New Delhi, 1995.



3. Solid and Hazardous Waste Management, S.C. Bhatia, Atlantic Publishers and

Distributors Ltd., 2007.

4. Nicholas P. Cheremisinoff, Butteworth Heinemann, Handbook of Solid Waste

Management and Waste Minimization Technologies, Elsevier Science (USA), 2003.

5. Metcalf, Inc. Eddy, Wastewater Engineering: Treatment and Reuse, McGraw-Hill, New

York, 2003.


1. http://nptel.ac.in/

2. http://ocw.mit.edu/courses/chemical-engineering/

CH42109: Food Biotechnology [3-0-0]

ELECTIVE-I

[Programme] Credits: 03 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Engineering Chemistry and Elementary Biology

Course Objectives:

1. The fundamental concepts, principles and application of biotechnology in food industry.

2. Improvisation of the existing technology and its utilization in food processing and storage.

Course Outcomes: After completion of the course, the student will able to -

CO1: Understand the basic concept of Food Technology & Food Biotechnology.

CO2: Explicate microbial functioning in the fermentation process.

CO3: Demonstrate the application of enzyme in different industries.

CO4: Illustrate sterilization & inoculation in food biotechnology.

CO5: Explain the effect of different parameters on food spoiling.

Course Details:

Unit 1: Introduction to Food Technology & Food Biotechnology (06 Hrs)

U1.1. Introduction to Food, Food Technology and Food Biotechnology. Analysis of food,

Single Cell Protein, oriental foods, probiotics, prebiotics, and synbiotics in food products.

HACCP. National and International Standards.

U1.2. Self Study Topics: Food safety and analysis. Major ingredients of food and control of

process factors and process parameters.

Unit 2: Food quality and production technology (06 Hrs)

U2.1. Food colour, flavour, vitamins, mushroom. Pickling and alcoholic beverages. Food



production technologies. Packaged foods. Genetically manipulated crop based food,

genetically modified food.

U2.2. Self Study Topics: Food production and packaging technologies. Utilization of food

waste for production of value added products.

Unit 3: Enzymatic reaction and kinetics (06 Hrs)

U3.1. Enzymes in bakery, fermented cereal products, Enzymes in fat/oil industries, Protease

in cheese making, enzymes in beverage production, enzymes in sugar syrup. Principles of

chemical reaction kinetics and enzymatic reaction kinetics.

U3.2. Self Study Topics: immobilized Growth curve, Microbiological count.

Unit 4: Fermentation process (06 Hrs)

U4.1. Introduction to fermentation – nutritive value of fermented foods, microorganisms,

proteolytic, liploytic and fermentative bacteria, basic functions of fermenter, types and

different parts of fermentor. Fermentative production of food.

U4.2.Self Study Topics: Microbial changes in fermented foods. Characterization of

fermentation.

Unit 5: Spoilages of food and storage technologies (06 Hrs)

U5.1. Food spoilage and control: Spoilage of food, Microbial safety of food products,

Chemical safety of food products, heavy metal, fungal toxins, pesticide and herbicide

contamination, Food preservatives and additives, dehydration, ultrafiltration, sterilization,

irradiation etc.

U5.2. Self Study Topics: Post-harvest technology for food preservation. Effects of

microorganisms on raw and packaged food.

Note: Five assignments to be given to the students based on self study topics comprising of

one assignment from each unit.

Text Books:

1. Stanbury, P.F., Allan Whitaker and S.J. Hall. Principles of Fermentation Technology.

Aditya books private Ltd., New Delhi, 1997.

2. Frazier, Food Microbiology, 2000.

Reference Books:

1. Pederson, C.S. Microbiology of food fermentations, AVI Publishing Company. Westport,

Connecticut, 1971.

2. Biotechnology: Food Fermentation by V.K, Joshi and Ashok Pandey.

3. Michael. L. Shuler & Fikret Kargi, Bioprocess Engineering: Basic Concepts, Prentice Hall



India Learning Private Limited; 2 Edition, 2000.




CH42110: Process Engineering & Feasibility [3-0-0]

ELECTIVE- I

[Programme] Credits: 03 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Process Engineering, Elementary Mathematics

Objectives:

1. The fundamental concepts, principles and application of Project engineering and

Feasibility

2. Understand the selection of equipments their designing and building safety and its

importance.


CO1: Explain the basic concepts of project management.

CO2: Understand the major steps in plant design and analysis of time and cost of the project.

CO3: Demonstrate engineering design of the plant utilities and their selection for optimum

condition.

CO4: Illustrate the plant safety and classify various industries based on different parameters.

CO5.Explicate the feasibility studies.

Course Details:

Unit 1: Introduction to Project Engineering (06 Hrs)

U1.1. Scope of project engineering, plant location and site selection, process engineering,

flow diagrams.

U1.2. Self Study Topics: Role of Project Engineer to execute the project.

Unit 2: Plant Planning, time and cost estimation (06 Hrs)

U2.1. Planning and scheduling of projects bar chart and network techniques- CPM and PERT

Techniques, procurement operations, time and cost estimation, break-even point.

U2.2. Self Study Topics: Project financing, statutory sanctions.

Unit 3: Equipment Selection I (06 Hrs)

U3.1. Details of engineering design and equipment selection, design calculations for vessels,



heat exchangers, process pumps, compressors and vacuum pumps, motors and turbines, other

process equipments.

U3.2. Self Study Topics: Selection of process equipments based on the design considerations.

Unit 4: Equipment Selection II (06 Hrs)

U4.1. Details of engineering design, equipments selection and design calculations.

U4.2.Self Study Topics: Studies of design based on standard design parameters.

Unit 5: Safety and Overview (06 Hrs)

U5.1. Buildings Safety in plant design - plant constructions , overview of Chemical industry-

Classification based on price of products, Size of project and nature of product for industries

such as for fertilizer and petrochemical industries.

U5.2. Self Study Topics: Start up and commissioning of a plant.

Note: Five assignments to be given to the students based on Self Study, comprising of one


Text Books:

1. Rase & Barrow, Project Engineering of Process Plants, John Wiley

2. Peter S. Max & Timmerhaus, Plant design and economics for chemical engineers. Mc

Graw Hill (2002).

3. Srinath L. S., “PERT AND CPM.” affiliated east press pvt. Ltd., new york (1973).

Reference Books:

1. Jelen. F. C., “Cost and optimization in engineering”. Mc Graw Hill (1983).

2. Frederick B. Plummer, Project Engineering, BH 6. Ernest E. Ludwig, Applied project

engineering and management, Gulf Pub. Co., (1988) VV Mahajani S M Mokashi, Chemical

Project Economics, Macmillan.

3. Perry J. H.,”Chemical engineering handbook” 7th ed. Mc Graw Hill (1997).




CH40301: Computer Aided Design Lab [0-2-0] Credit: 01 Teaching Scheme: - Laboratory 02 Hrs/Week

Prerequisites: Knowledge of Engineering Mathematics covering numerical methods and

Mass Transfer.

Objectives:



To introduce the students to the software MATLAB for numerical computations and in

particular familiarizing them with the MATLAB Desktop, basic commands through the

Command window and output through the Graph window.

To make the student able to think algorithmically about solving a problem, and to be able

to write efficient codes.

To make the students capable of carrying out simple numerical computations and analyses

using MATLAB


CO1. Make use of MATLAB as a platform to perform matrix manipulations.

CO2. Simulate conditions characterized by linear and non linear algebraic equations using

MATLAB.

CO3. Write simple programs in MATLAB to solve scientific and mathematical problems.

CO4. Simulate unit operations like simple distillation and plot data using MATLAB.

Course Details:

List of Practicals:

Experiment No. 1: Performing matrix addition, multiplication, inversion, rank, Eigen values

using MATLAB simulator.

Experiment No. 2: Plotting set of data using MATLAB.

Experiment No. 3: Parameter estimation using least-square technique using MATLAB.

Experiment No. 4: Writing “m.” files in MATLAB platform to solve coupled linear

algebraic equations using Gauss elimination method.

Experiment No. 5: Writing “m.” files in MATLAB platform to solve boundary value

problem of nonlinear ordinary differential equation using finite

difference method.

Experiment No. 6: Writing “m.” files in MATLAB platform to solve non-linear algebraic

equations using Newton Raphson Technique.

Experiment No. 7: Writing “m” file in MATLAB platform for solving differential

equations.

Experiment No. 8: Determination of composition of binary mixture leaving a tray using

MATLAB.

Experiment No. 9: Simple distillation column using MATLAB

Experiment No. 10: Multi-component distillation using MATLAB.

Text Book:



T1. “Insight Through Computing: A Matlab Introduction to Computational Science and

Engineering” C. F. Van Loan and K.-Y. D. Fan. SIAM Publication, 2009, ISBN: 978-0-

898716-91-7.

Reference Book:

R1. “MATLAB for Beginners: A Gentle Approach”, Peter I. Kattan, Petra Books,Revised

Edition, 2009.




CH42301: Food Biotechnology Lab [0-2-0]

LAB OF ELECTIVE- I Credit: 01 Teaching Scheme: Laboratory 02 Hrs / Week

Prerequisites: Engineering Chemistry, Elementary Biology and Food Biotechnology.

Objectives:

1. The fundamentals of food sampling and analysis.

2. The analysis of sugar, protein, microorganisms and studies on packaged life of food.


CO1: Exemplify about the different characterization of food samples.

CO2: Analyze the microbial content of food samples.

CO3: Classify different types of sugars and their content in any food sample.

CO4: Predict the packaged life of the food products.

Course Details:

List of Practicals:

Experiment 1: Determination of pH of food sample.

Experiment 2: Determination of moisture content of wet and dry food sample by oven.

Experiment 3: Determination of TSS value of given food product.

Experiment 4: Determination of salt content of food sample.

Experiment 5: Determination of sugar content of food sample.

Experiment 6: Determination of protein of food sample.

Experiment 7: Determination of fat by sox let apparatus.

Experiment 8: Determination of microbial content (E.coli) of food sample.

Experiment 9: Determination of different type of sugar components in fruit juices by TLC .



Experiment 10: Shelf life testing of packaged products.

Text Books:

1. Stanbury, P.F., Allan Whitaker and S.J. Hall. Principles of Fermentation Technology.

Aditya books private Ltd., New Delhi, 1997.

2. Frazier, Food Microbiology, 2000.

Reference Books:

1. Pederson, C.S. Microbiology of food fermentations, AVI Publishing Company. Westport,

Connecticut, 1971.

2. Biotechnology: Food Fermentation by V.K, Joshi and Ashok Pandey.

3. Michael. L. Shuler & Fikret Kargi, Bioprocess Engineering: Basic Concepts, Prentice Hall

India Learning Private Limited; 2 edition, 2000.




CH42302: Process Engineering and Feasibility Lab [0-2-0]

LAB OF ELECTIVE- I Credit: 01 Teaching Scheme: Laboratory 02 Hrs / Week

Prerequisites: Process Engineering, Elementary Mathematics

Objectives:

1. The fundamental concepts, principles and application of Project Engineering.

2. Understanding the time, cost estimation, selection of equipments and their designing,

building safety and their importance.


CO1: Apply the basic concepts of process development and plant commissioning.

CO2: Illustrate the major steps in plant design.

CO3: Demonstrate the process, cost and select plant utilities accordingly.

CO4: Explain the annual report of a company as well as classify the industry.

Course Details:

List of Practicals:

Experiment 1: Process development and Commercialization.

Experiment 2: Plant Erection and commissioning.

Experiment 3: Selection of plant capacity.



Experiment 4: Time and cost estimation over runs of a project.

Experiment 5: Process Optimization.

Experiment 6: Project Planning, scheduling and controlling (by using BAR chart, CPM and

PERT Techniques).

Experiment 7: General site selection based on location and plant Layout, battery limits and

off site facilities.

Experiment 8: Plant utilities in all aspects.

Experiment 9: Preparation of project reports (Feasibility Reports), Annual report of a

company.

Experiment 10: Overview of Chemical industry by classifying the industry based on price of

product, size of project and nature of product for example fertilizer, petrochemicals etc.

Text Books:

1. Rase & Barrow, Project Engineering of Process Plants, John Wiley.

2. Peter S. Max & Timmerhaus, Plant design and economics for chemical engineers. McGraw

Hill (2002).

3. Srinath L. S., “PERT AND CPM.” affiliated East Press Pvt. Ltd., New York (1973).

Reference Books:

1. Jelen. F. C., “Cost and optimization in engineering”. Mc Graw Hill (1983).

2. Frederick B. Plummer, Project Engineering, BH 6. Ernest E. Ludwig, Applied project

engineering and management, Gulf Pub. Co., (1988) VV Mahajani S M Mokashi, Chemical

Project Economics, Macmillan.

3. Perry J. H.,”Chemical engineering handbook” 7th ed. Mc Graw Hill (1997).




IN47404: Industrial Training Report & Viva Voce [0-2-0] Credit: 01 Teaching Scheme: Laboratory 02 Hrs / Week

Prerequisites: Industrial Training, Process Engineering.

Objectives:

1. The fundamental concepts, principles and application of Process Engineering

2. Understanding the time, cost estimation, process equipments and their designing, building

safety and their importance.



3. Ability to explain the Process Flow Diagram (PFD) and Process & Instrumentation (P&I)

Diagram.


CO1: Apply the concepts of Process Engineering.

CO2: Illustrate the major steps in plant design.

CO3: Demonstrate the unit operations and processes, cost of operation, process equipments

and their designing, building safety and their importance and plant utilities.

CO4: Explain the Process Flow Diagram (PFD) and Process & Instrumentation (P&I)

Diagram.

Evaluation: The evaluation of the Course is based on the parameters as specified in the

Academic Guidelines and will be done by a Five Members Departmental Committee

constituted as per the above Guidelines. The minimum score to pass the above Course is 50

percentage points.

MB41301: Ethics for Engineers Lab Credit: 01 Teaching Scheme: Laboratory 2 Hrs / Week

Prerequisites: Philosophy of Engineering.

Course Objectives:

To create awareness on Professional Ethics and Human Values.

To provide basic knowledge about Morality, Ethical Dilemmas, and Professional Virtues.

To create awareness about code of ethics and industrial standards.

To inculcate knowledge about social aspects of Business and Environment.

Lab 1. Introduction to Professional Ethics – Nature, Scope and Importance: Discussion &

Case Study 1 (2hrs)

Lab 2. Ethical Dilemma and Problems: Discussion & Case Study 2

(2hrs)

Lab 3. Ethics in Marketing (Pricing and Advertising): Discussion & Case Study 3

(2hrs)

Lab 4: Ethics in Finance (Insider Trading, Green Mail, Golden Parachute): Discussion &

Case Study 4 (2hrs)

Lab 5: Ethics in Human Resource Management (Worker Rights and Duties, Workplace

Safety, Sexual Harassment and Whistle Blowing): Discussion & Case Study 5 (2hrs)

Lab 6: Ethics in Engineering and Technology (Accuracy, Privacy, Property, Accessibility):



Discussion & Case Study 6 (2hrs)

Lab 7: Ethical Issues in Society (Black Marketing, Bribery and Corruption): Discussion &

Case Study 7 (2hrs)

Lab 8: Ethics in Corporate Social Responsibility: Discussion & Case Study 8

(2hrs)

Lab 9: Role of Ethical Codes and their implementation: Discussion & Case Study 9

(2hrs)

Lab 10: Ethical Practices in different organizations: Discussion & Case Study 10

(2hrs)

Course Outcome:

After completion of the course the students will:

CO1. Understand various social issues, industrial standards and importance of ethics in the

engineering domain.

CO2. Aware of ethical responsibilities of an engineer.

CO3. Acquire professional behavior that requires adherence to the highest principles of

ethical conduct.

Text Books:

1. Business Ethics – Text & Cases, C.S.V. Murthy, 1st Edition, HPH, 2017.

2. Ethics in Engineering, M.W. Martin, 4th Edition, McGraw Hill.

Reference Book:

1. Professional Ethics, R. Subramanian, 2nd Edition, Oxford.

CH47397: Major Project -II [0-6-0] Credits: 03 Teaching Scheme: Project 06 Hrs / Week

For 7th Semester Students, a Major Project is to be carried out as per Academic Guidelines

considering the following objectives:

1. Understanding the relevance, scope and dimension of the project work.

2. Relation to literature and or application of the work.

3. Appropriate methodology for the execution of the project work.

4. Qualitative analysis and interpretation of the results.

5. Assertive discussion and conclusion of the work.

6. Preparation of project report.

7. Presentation of the work and report for evaluation through seminar.



8. The Major Project group will be formed comprising of 3-5 Students (approx.).

9. Head of the Department will appoint Project Supervisor for the Students.

10. The evaluation of the above Course is to be done based on the predefined parameters and

will be evaluated by a Three Members Committee and marking will be done as per the

Academic Guidelines.

11. The minimum score to pass the above Course is 50 percentage points.

Course Outcomes: After completion of the project, the students will able to -

CO1. Understand the process of conducting the project work.

CO2. Ability to do the work individually or in a group in solving the problems based on the

suitable methodology and observation method.

CO3. Illustrate the outcomes of the work.

CO4. Demonstrate the work scientifically through thesis/dissertation and seminar.

CH40121: Advanced Fuel & Combustion Technology [3-0-0] Credits: 04 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Knowledge of Chemical Reaction Engineering, Chemical Process

Calculations, Process Heat Transfer and Mass Transfer.

Objectives:

Explores the characteristics and combustion mechanism of solid liquid and gaseous fuel.

To acquire the knowledge of analysis of solid, liquid and gaseous fuels.

To acquire the knowledge of alternative energy resources and their utilization.

Course Outcomes:

After completion of the course, the students will able to -

CO1. Analyze characteristics of coal in terms of utilization.

CO2. Understand different production method and technology for combustion of liquid and

gaseous fuels.

CO3. Describe the characteristics of solar, wind and hydro energy and thereby its utilization as

alternative energy sources.

CO4. Explain different terms associated to nuclear energy and its reactor design.

CO5. Illustrate the combustion process of solid fuels and the design of the reactor focusing on

chemical looping combustion (CLC) technology.

Course Details:

Unit 1: Coal and Coal Derived Fuels



U1.1.Characteristics, production methods and uses - Coal combustion technology -Waste heat

recovery.

U1.2.Self-study topics: Coal washing and blending, manufacture and properties of

metallurgical coke.

Unit 2: Oil and Gases

U2.1.Fuels from oil and gases, Characteristics, production methods and uses - Technology for

combustion of fuels derived from oil and gas.

U2.2.Self-study topics: Manufacture of Water gas and producer gas, Carburetted water gas.

Unit 3: Renewable Energy

U3.1.Utilization, Thermal application and photovoltaic applications. Biomass conversion for fuels -

Production methods based on thermo chemical and bioconversion -Characteristics and uses - Design

of digestors. Wind- geothermal and hydro energy utilization. Nuclear fission fuels processing -

Nuclear reactions and nuclear reactors, Nuclear Engineering. Synthetic Fuels: Hydrogenation of coal,

Introduction. Nuclear fuels and nuclear reactors, moderators and structural materials.

U3.2.Self-study topics: Fischer-Tropsch synthesis, details of nuclear reactors.

Unit 4: Combustion 1

U4.1.Thermodynamics of combustion, propagation of flame and combustion appliances.

Elementary concepts of furnace design. Regenerators and recuperators

U4.2.Self-study topics: Fluidized bed combustion.

Unit 5: Combustion 2

U5.1.Combustion of solids fuels, Pulverized coal. Calculation of volumes and weights of air

necessary for combustion of fuels, gas analysis.

Chemical looping combustion (CLC), Concept of the CLC process, development of CLC.

U5.2.Self-study topics: Hybrid porous reactor for combustion of solid fuel.

Note: Five assignments to be given to the students on self study, comprising of one


Text Books:

1. Rai, G.N., Non-conventional energy sources, Khanna Publishers, New Delhi, 2nd Edition, 1998.

2. Samir Sarkar., Fuels and Combustion, Orient Longman Publication, 2nd Edition, 1990.

Reference Books: 1. Reay D, A., Industrial energy conservation a handbook for engineers and managers, Pergamon.

Press, 1st Edition, 1977.

2. Om Prakash Gupta., Fundamentals of Nuclear power reactors, Khanna Publishers, New Delhi.




1. https://www.sciencedirect.com/science/article/pii/S1876610217313590.

2.https://ac.els-cdn.com/S1876610217327728/1-s2.0-S1876610217327728-

main.pdf?_tid=8ce148c1-33d2-4785-b9b4-

36c6e21d03d3&acdnat=1526451258_03eb08ccb427e8e7e6494f453fad358f



CH40121: Advanced Fuel and Combustion Technology [0-0-1] Teaching Scheme: Tutorial 01 Hr / Week

Prerequisites: Knowledge of Chemical Reaction Engineering, Chemical Process

Calculations, Process Heat Transfer and Mass Transfer.

Objectives:





CO1. Analyze characteristics of coal in terms of utilization.

CO2. Understand different production method and technology for combustion of liquid and

gaseous fuels.

CO3. Describe the characteristics of solar, wind and hydro energy and thereby its utilization as

alternative energy sources.

CO4. Explain different terms associated to nuclear energy and its reactor design.

CO5. Illustrate the combustion process of solid fuels and the design of the reactor focusing on

chemical looping combustion (CLC) technology.

List of Contents:

Tutorial No. 1: Characteristics and production methods and uses of coal.

Tutorial No. 2: Description of coal combustion technology.

Tutorial No. 3: Description of coal washing and blending and waste heat recovery.

Tutorial No. 4: Study of manufacturing process and properties of metallurgical coke.

Tutorial No. 5: Characteristics study of different types of fuels from oil and gases.

Tutorial No.6: Study of production methods and uses of fuels from oil and gases.

Tutorial No. 7: Description of the technology for combustion of fuels derived from oil and gas.

Tutorial No. 8: Description of photovoltaic cells.



Tutorial No. 9: Study of the production method of wind energy and its utilization.

Tutorial No.10: Study of the production method of geothermal and hydro energy and its

utilization.

Tutorial No. 11: Description of Fischer-Tropsch synthesis.

Tutorial No. 12: Study of nuclear reactors and associated terms.

Text Books: 1. Rai, G.N., Non-conventional energy sources, Khanna Publishers, New Delhi, 2nd Edition, 1998.


Reference Books:

1. Reay D, A., Industrial energy conservation a handbook for engineers and managers, Pergamon.

Press, 1st Edition, 1977.

2. Om Prakash Gupta., Fundamentals of Nuclear power reactors, Khanna Publishers, New Delhi.


1. https://www.sciencedirect.com/science/article/pii/S1876610217313590.

2.https://ac.els-cdn.com/S1876610217327728/1-s2.0-S1876610217327728-

main.pdf?_tid=8ce148c1-33d2-4785-b9b4-

36c6e21d03d3&acdnat=1526451258_03eb08ccb427e8e7e6494f453fad358f



CH40116: PETROLEUM REFINERY ENGINEERING [3-0-0] Credits: 03 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Basic knowledge of Organic Chemistry, Process Heat Transfer, Mass Transfer

operations.

Objectives:

This course intends to form the foundation of the chemical engineers on all the basic fields of

petroleum from extraction to the safe end use where refining is the most challenging. The

course puts major thrust on all the techniques / processes of petroleum refining encompassing

selection of the mass/heat transfer devices, their operation and basic design. The course also

covers the feed stocks of petrochemical industries and manufacture important petrochemicals.


CO1. Understand the role of petroleum as energy source amidst world energy scenario.

CO2. Acknowledge the practices in operations of refineries and petrochemical complexes.



CO3. Identify challenges, energy security issues and environmental issues.

CO4. Build foundation for process intensification.

Course Details:

UNIT 1 (06 Hrs)

U1.1 Origin and formation of petroleum, General definitions, Introduction to petroleum

refinery, Classification of Crude oil, Characterization of crude oil, Composition of

crude, Physical properties, Crude oil: analysis and distillation

U1.2 Self Study Topics: Current scenario of Petroleum industry in India and the World.

UNIT 2 (06 Hrs)

U2.1 Dehydration and desalting of crude, Crude Assay ASTM TBP distillations evaluation of

crude oil properties, API gravity various average boiling points and mid percent curves,

Evaluation of properties of crude oil and its fractions, Design concept of crude oil

distillation column. Important distillation products, product properties and their various

testing methods.

U2.2 Self Study Topics: Design of Atmospheric and Vacuum distillation column.

UNIT 3 (06 Hrs)

U3.1 Coking and Thermal process, Delayed coking, Catalytic cracking, Cracking reactions,

Zeolite Catalysts, Cracking Feedstock and reactors, Effect of process variables, FCC

Cracking, Catalyst coking and regeneration, New Designs for Fluidized-Bed Catalytic

Cracking Units, Objective and application of catalytic reforming process, Reformer

feed, Reforming reactor design continuous and semi regenerative process.

U3.2 Self Study Topics: Reactions involved during Coking, Cracking and Reforming.

UNIT 4 (06 Hrs)

U4.1 Objectives of Hydrocracking, Hydrocracking feedstock, Effects of process variables,

Hydro treating process and catalysts Resid hydroprocessing, Effects of process

variables, Reactor design concepts

U4.2 Self Study Topics: Difference between Hydrogenation and Hydroprocessing.

UNIT 5 (06 Hrs)

U5.1 Isomerization process, Reactions, Effects of process variables, Alkylation process,

Feedstocks, reactions, products, catalysts and effect of process variables,

Polymerization: Objectives, process, Reactions, catalysts and effect of process

variables, Lube oil processing: propane deasphalting Solvent extraction, dewaxing.

U5.2 Self Study Topics: Environmental issues and new trends in Petroleum Refinery



operations.



Text Books:

1. Nelson, Petroleum Refinery Engineering, Mc Graw Hill.

2. Rao, B. K. B., Modern Petroleum Refining Processes, Oxford and IBH.

Reference Books:

1. Advanced Petroleum Refining: G.M. Sarkar.

2. Environmental Control in Petroleum Refining: J.C. Reis.




MA43117: Advanced Numerical Methods [3-0-0]

ELECTIVE-III

[PROGRAMME] Credits: 03 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Mathematics–I, Mathematics–II, Mathematics–IV.

Objectives:

1. To make students aware of Advanced Interpolation techniques such as Spline and

Hermite Interpolations.

2. To enlighten the students with the different numerical techniques to find eigen values of

matrices.

3. To make students aware of Ramanujan’s method, Graffe’s Root Squaring method, Lin –

Bairstow’s Method, Quotient-difference method, method of iteration and Newton-

Raphson method.

4. To make students aware of multi – step methods to solve initial value problems involving

ordinary differential equations.

5. To enlighten students with the different numerical techniques to solve Partial differential

equations.

Course Outcomes: After completion of the course, students will able to -

CO1. Learn Advanced Interpolation techniques such as Spline and Hermite Interpolations.

CO2. Get enlightened with the numerical techniques to find eigen values of matrices.



CO3. Aware of some methods to solve equations and systems of non-linear equations.

CO4. Aware of multi – step predictor – corrector methods to solve initial value problems

involving ordinary differential equations.

CO5. Aware of solving partial differential equations numerically.

Course Details:

Unit1: Interpolation (08Hrs)

U1.1. Piecewise Linear, Quadratic, and Cubic Interpolation, Cubic Hermite and Piecewise

Cubic Hermite Interpolation, Quadratic and Cubic Spline Interpolation. [T1]

Method of Least Square. [T2]

U1.2. Self Study Topics: Central difference Interpolation formulae.

Unit2: Eigen Values And Eigen Vectors and Solution of Equations (08Hrs)

U2.1. Eigen Values and Eigen Vectors: Basic power method, Rayleigh Quotient, Shifted

power method, Inverse power method, QR method. [T1]

U2.2. Self Study Topics: Singular Value Decomposition.

Unit3: Solution of Equation (08 Hrs)

U3.1. Ramanujan’s method, Graffe’s Root-Squaring Method, Lin – Bairstow’s Method,

Quotient-difference method, Solution to systems of non-linear equations.[T2]

U3.2. Self Study Topics: Laguerre’s Method.

Unit4: Numerical Solutions of Initial Value Problems of Ordinary Differential

Equations (08Hrs)

U4.1 Adams-Bashforth (2nd, 3rd, and 4th Order) Methods, Milne’s Method, Adams-Moulton

(2nd, 3rd, and 4th Order) Methods, Simpson’s Method, Adams-Bashforth-Moulton Predictor-

Corrector (2nd, 3rd, and 4th Order) methods, Milne – Simpson’s Predictor-Corrector method.

[T1]

U4.2 Self Study Topics: Stability Analysis of Multi Step Methods.

Unit5: Numerical Solutions of Boundary Value Problems of Partial Differential

Equations (08Hrs)

U5.1Parabolic Partial Differential Equation: Explicit Method, Implicit method, Crank-

Nicolson method Hyperbolic Partial Differential Equation: Explicit Method, Implicit method.

Elliptic Partial Differential Equation: Finite-Difference method.

U5.2Self Study Topics: Finite Element Method for Elliptic Partial Differential Equation





Text Books:

T1. Applied Numerical Analysis Using MATLAB, L.V. Fausett, Pearson Education, Second

Edition, 2011.

Chapters 4(4.3), 5(5.1(5.1.1 – 5.1.3), 5.2(5.2.1), 5.3(5.3.1), 8(8.2, 8.3), 12(12.3 (12.3.1 –

2.3.4)).

T2. Introductory Method of Numerical Analysis, S. S. Sastry, PHI Learning PVT LTD, New

Delhi, Fourth Edition, 2009.

Chapters 2(2.6, 2.9, 2.10-2.12), 4(4.2(4.2.1, 4.2.2), 4.3(4.3.1)).

Reference Books:

R1. Numerical Methods For Scientific and Engineering Computation, M. K. Jain, S. R. K.

Iyengar.

R.K. Jain, New Age International Publishers, Sixth Edition, 2014.

R2. Numerical Analysis and Computational Procedures, S. A. Mollah, Books and Allied (P)

Limited, Fifth Edition,2013.




MA43118: Numerical and Optimization Techniques [3-0-0]

ELECTIVE-III

[PROGRAMME] Credits: 03 Teaching Scheme: Theory 03 Hrs / Week

Prerequisites: Mathematics–I, Mathematics–II, Mathematics–IV.

Objectives:

1. To make students aware of Advanced Interpolation techniques such as Spline and Hermite

Interpolations.

2. To enlighten the students with the different numerical techniques to find eigen values of

matrices.

3. To make students aware Techniques Graffe’s Square Root and Lin – Bairstow’s Methods

to find roots of equations.

4. To make students aware of multi – step methods to solve initial value problems involving

ordinary differential equations.



5. To enlighten the students with the basic concepts of modeling a practical problem into a

linear programming problem and solving it by Graphical and Simplex Methods.

6. To introduce the Assignment and Transportation problems and methods to obtain their

optimized solutions

7. To make students aware of the iterative methods such as Fibonacci Search and Golden

Section Search Methods to obtain optimal solution of unconstrained non-linear

programming problems.

8. To make students aware of solving nonlinear programming problems with constraints

using Lagrange’s Multiplier Methods.

9. To make students aware of solving Quadratic Programming Problems by Wolfe’s Method.


CO1. Learn Advanced Interpolation techniques such as Spline and Hermite Interpolations.

CO2. get enlightened with the numerical techniques to find eigen values of matrices.

CO3. aware of multi – step predictor – corrector methods to solve initial value problems

involving ordinary differential equations.

CO4. get enlightened with the basic concepts of modeling a practical problem into a linear

programming problem and solving it by Graphical and Simplex Methods.

CO5. aware of solving nonlinear and quadratic programming.

Course Details:

Unit1: Interpolation (08Hrs)

U1.1. Piecewise Linear, Quadratic, and Cubic Interpolation, Cubic Hermite and Piecewise

Cubic Hermite Interpolation, Quadratic and Cubic Spline Interpolation. [T1]

Method of Least Square. [T2]

U1.2. Self Study Topics: Central difference Interpolation formulae.

Unit2: Eigen Values And Eigen Vectors and Solution of Equations (08Hrs)

U2.1. Eigen Values and Eigen Vectors: Basic power method, Rayleigh Quotient, Shifted

power method, Inverse power method, QR method. [T1]

Solution of Equations: Graffe’s Root-Squaring Method, Lin – Bairstow’s Method. [T2]

U2.2. Self Study Topics : Solution of system of Linear equations by Newton-Raphson

Method

Unit3: Numerical Solutions of Initial Value Problems of Ordinary Differential

Equations (08Hrs)



U3.1. Adams-Bashforth (2nd, 3rd, and 4th Order) Methods, Milne’s Method, Adams-Moulton

(2nd, 3rd, and 4th Order) Methods, Simpson’s Method, Adams-Bashforth-Moulton

Predictor-Corrector (2nd, 3rd, and 4th Order) methods, Milne – Simpson’s Predictor-

Corrector method. [T1]

U3.2. Self Study Topics: Stability Analysis of Multi Step Methods.

Unit4: Linear Programming Problem Methods (08Hrs)

U4.1. Definition and Illustration on Formulation of Linear Programming problems, Notion of

Solutions of Linear Programming Problems, Basic, Feasible, Optimal, De-generate, and

bounded Solutions, Graphical Method, Simplex Method, and Big – M Methods to solve

Linear Programming Problems. [T3]

Transportation Problems: Transportation problems and their solutions by – North –

West Corner Rule, Least Cost Method and Vogel’s Approximation Method. Optimized

Solutions of Transportation problems by MODI’s Method. [T3]

Assignment Problems: Assignment problems and their solutions by Hungarian

Method.[T3]

U4.2. Self Study Topics: Duality in Linear Programming and Dual Simplex Method.

Unit5: Nonlinear Programming Problem Methods (08Hrs)

U5.1. Non-linear programming: Introduction to non-linear programming.

Unconstrained optimization: Single and Multivariable Unconstrained Optimization,

Fibonacci and Golden Section Search methods.

Constrained optimization with equality constraint: Lagrange multiplier Methods

Constrained optimization with inequality constraint: Kuhn-Tucker conditions,

Solution of Quadratic programming Problems by Wolfe’s Method. [T3]

U5.2. Self Study Topics: Integer Programming Problem Methods – Branch and Bound and

Cutting Plane Methods.



Text Books:

T1. Applied Numerical Analysis Using MATLAB, L.V. Fausett, Pearson Education, Second

Edition, 2011.

Chapters 4(4.3), 5(5.1(5.1.1 – 5.1.3), 5.2(5.2.1), 5.3(5.3.1), 8(8.2, 8.3), 12(12.3 (12.3.1 –

2.3.4)).



T2. Introductory Method of Numerical Analysis, S. S. Sastry, PHI Learning PVT LTD, New

Delhi, Fourth Edition, 2009.

Chapters 2(2.9, 2.10), 4(4.2(4.2.1, 4.2.2), 4.3(4.3.1)).

T3. Operations Research- Principle and Practice, A. Ravindran, D. T. Philips, J. Solberg,

Wiley India Pvt Ltd, Second Edition, 2006.

Chapters 2(2.1 – 2.7), 3(3.2, 3.3), 11(11.1 – 11.3, 11.6, 11.9, 11.10).

Reference Books:

R1. Numerical Methods For Scientific and Engineering Computation, M. K. Jain, S. R. K.

Iyengar, R.K. Jain, New Age International Publishers, Sixth Edition, 2014.

R2. Numerical Analysis and Computational Procedures, S. A. Mollah, Books and Allied

(P) Limited, Fifth Edition,2013.

R3. Numerical Mathematics and Computing, W.Cheney and D. Kincaid,

Thomson/CENGAGE Learning, Fifth Edition, 2014.

R4. Numerical Methods for Engineers, S.K.Gupta, New Age International, Second Edition

1995.

R5. Applied numerical methods with MATLAB, Steven C. Chapra, Tata McGraw-Hill

Publishing Company Limited, New Delhi, Second Edition, 2007.

R6. Applied Numerical Methods for Engineering, R.J. Schilling and S.L.Harris,

CENGAGE learning, 2000.

R7. Numerical Solution of Differential Equations, M. K. Jain, New Age International (P)

Limited, Publishers, 2nd Edition, 2002.

R8. Operations Research, S. Kalavathy, Vikash Publishing House Private Limited, Fourth

Edition, 2013.

R9. Operations Research, S. D. Sharma, Kedar Nath Ram Nath & CO. Publishers Meerut

thirteenth Edition, 2001.

R10. Operations Research, K. Swarup, P. K. Gupta, Man Mohan, Sultan Chand & Sons, New

Delhi. 12th Edition, 2003.

R11. Operation Research Concept and Cases, F. S. Hillier and G.J.Lieberman ,TMH, 8th

Edition, 2007.

R12. Optimization for Engineering Design Algorithm and Examples, Kalyanmoy Deb, PHI

Learning Private Limited, New Delhi, 2009.






CH40305: Fuel & Combustion Technology Lab [0-2-0] Credit: 01 Teaching Scheme: Laboratory 02 Hrs / Week

Prerequisites: Knowledge of advanced fuel and combustion technology.

Objectives:





CO1. Understand solid, liquid and gaseous fuels.

CO2. Explain the characteristic properties of fuels.

CO3. Explicate the design and analyze fuel processing equipments.

CO4. Illustrate the industrial applications of fuel processing equipments.

CO5. Demonstrate the design of fuel processing equipments.

Course Details:

List of Practicals:

1. Determination of Moisture and Volatile Matter content of coal.

2. Determination of ash content and fixed carbon content of coal.

3. Determination of Cloud & Pour Point of an oil sample.

4. Determination of flash & fire Point on an oil sample.

5. Determination of Moisture content of an oil sample by Dean & Stark Apparatus.

6. Determination of Carbon Residue of an oil sample by Conradson’s Apparatus.

7. Determination of Aniline Point of an oil sample.

8. Determination of Viscosity of an oil sample.

9. Determination of Calorific Value by Bomb Calorimeter.

10. Determination of Drop Point of grease.

Text Books:

1. Rai, G.N., Non-conventional energy sources, Khanna Publishers, New Delhi, 2nd Edition,

1998.


Reference Books:

1. Reay D, A., Industrial energy conservation a handbook for engineers and managers,



Pergamon. Press, 1st Edition, 1977.

2. Om Prakash Gupta., Fundamentals of Nuclear power reactors, Khanna Publishers, New

Delhi.




MA41319: COMPUTATION METHODS LAB [0-2-0] Prerequisites:

Numerical Methods, Knowledge of any programming language

Objectives:

To empower the students to write algorithm and C/MATLAB program for different

numerical methods to fit polynomial for a given data, find roots of an equation, find solution

of system of equations, to interpolate using Lagrange method, to find the derivative at the

initial point (final point) using Newton‘s Forward and Backward Difference Method

(Hermite interpolation method) and to integrate using Trapezoidal method, Simpson’s

methods and Romberg Method

Course Outcomes:

The student will be able to –

1. Write algorithm and C/MATLAB program to fit a polynomial for a given data.

2. Develop algorithm and C/MATLAB program to find the roots of an equation numerically

using Secant method and Newton-Raphson method,

3. Construct algorithm and C/MATLAB program to find the solution of system of linear

equations by Gauss elimination method.

4. Write algorithm and C/MATLAB program to interpolate y using the given pair of values of

x and y by Lagrange’s interpolation..

5. Develop algorithm and C/MATLAB program to find the derivative at the initial point

(final point) using Newton‘s Forward and Backward Difference Method (Hermite

interpolation method).

6. Construct algorithm and C/MATLAB program to integrate numerically using

Trapezoidal method, Simpson’s methods and Romberg Method

Course Details:



1. Write a computer oriented algorithm & the corresponding C/MATLAB Program to fit

a straight line of the form y = a x + b, for a given data, using the method of least

square.

2. Write a computer oriented algorithm & the corresponding C/MATLAB Program to fit

a nth degree polynomial of the form for a given data by the method of

least square.

3. Write a computer oriented algorithm & the corresponding C/MATLAB to find a root

using Secant method.

4. Write a computer oriented algorithm & the corresponding C/MATLAB to find the

smallest positive root using Newton- Raphson method.


solution of the system of linear equations using Gauss Elimination Method.

6. Write a computer oriented algorithm & the corresponding C/MATLAB to interpolate

y using the given pair of values of x and y by Lagrange’s interpolation.


derivative at the initial point using Newton‘s Forward and Backward Difference

Method.


derivative at the final point using Hermite Interpolation Method.

9. Write a computer oriented algorithm & the corresponding C/MATLAB to integrate

numerically using Trapezoidal & Simpson’s Rules.

10. Write a computer oriented algorithm & the corresponding C/MATLAB to integrate

numerically using Romberg Method.

Text Books:

1. Numerical Methods in Science and Engineering, S. Rajasekharan, S. Chand Limited

2nd Edition, 2010

2. Applied Numerical Methods W/MATLAB: for Engineers & Scientists, Steven C.

Chapra, Mcgraw-Hill Education, Third Edition, 2012.

Reference Books:

1. Numerical Methods, T. Veerarajan and T. Ramachandran, Tata McGraw-Hill Education,

2007.

2. Numerical Methods for Engineers, Steven C. Chapra and Raymond P Canale, Tata

McGraw-Hill Education, 7th Edition, 2015..



3. Fundamentals of Mathematical Statistics, S. C. Gupta and V. K. Kapoor, Sultan chand and

Sons, 11th Revised Edition, 2002.

4. Numerical Recipes (Example Book (C), William T. Vetterling, Saul A. Teukolsky,

William H. Press, Brian P. Flannery, Cambridge University Press, 2nd Edition, 1999.

CH47398: Major Project -III [0-8-0] Credits: 05 Teaching Scheme: Project 08 Hrs / Week

For 8th Semester Students, a Major Project is to be carried out as per Academic Guidelines

considering the following objectives:

1. Understanding the relevance, scope and dimension of the project work.

2. Relation to literature and or application of the work.

3. Appropriate methodology for the execution of the project work.

4. Qualitative analysis and interpretation of the results.

5. Assertive discussion and conclusion of the work.

6. Preparation of project report.

7. Presentation of the work and report for evaluation through seminar.

8. The Major Project group will be formed comprising of 3-5 Students (approx.).

9. Head of the Department will appoint Project Supervisor for the Students.

10. The evaluation of the above Course is to be done based on the predefined parameters and

will be evaluated by a Three Members Committee under the Chairmanship of the HOD

along with one External Expert as per the Academic Guidelines.

11. The marking will be done based on the predefined parameters by the Project Supervisor

and the Committee equally on 50% basis.

12. The minimum score to pass the above Course is 50 percentage points.

Course Outcomes: After completion of the project, the students will able to -

CO1. Understand the process of conducting the project work.

CO2. Ability to do the work individually or in a group in solving the problems based on the

suitable methodology and observation method.

CO3. Illustrate the outcomes of the work.

CO4. Demonstrate the work scientifically through thesis/dissertation and seminar.

OPEN ELECTIVES [ELECTIVE-II & ELECTIVE-IV] List of Courses with detailed syllabi in OPEN ELECTIVES offered from the Department of



Chemical Engineering for the other Departmental Students in 7th & 8th Semesters

CH46101: Material Science and Engineering [3-0-0]

ELECTIVE – II

[Open Elective] Credits: 04 Teaching Scheme: 03 Hrs / Week

Prerequisite: Engineering Chemistry and Physics

Objectives:

1. To understand about material science and classification of material.

2. To acquire knowledge of mechanical properties and testing methods of materials.

3. To know the phase transformation and familiarize with different types of non ferrous

alloys.

4. To provide engineering students with a fundamental understanding of the causes.

5. To prevention of materials degradation in chemically aggressive environments.

6. Provide fundamental understanding of aspects electrochemistry relevant to corrosion

phenomena.

7. Provide methodologies for predicting, measuring and analyzing corrosion performances of

materials.

8. Identify practices for the prevention and remediation of corrosion.


CO1: Gain knowledge of classification of materials.

CO2: Acquire knowledge of mechanical properties

CO3: Familiarize with the different types of non ferrous alloys

CO4: Understand the causes of and the mechanism of various types of corrosion.

CO5: Illustrate to identify suitable materials and economically viable mechanisms to prevent

or reduce the corrosion to a tolerable level.

Course Details:

Unit 1

Unit 1.1: Structure: Atomic structure and bonding in materials. Crystal structure of materials,

crystal systems, unit cells and space lattices, determination of structures of simple crystals by

x-ray diffraction, miller indices of planes and directions, packing geometry in metallic, ionic

and covalent solids. Concept of amorphous, single and polycrystalline structures and their

effect on properties of materials. Crystal growth techniques. Imperfections in crystalline



solids and their role in influencing various properties.

Unit 1.2: Self study topics: Bravais lattices, Dislocation, Crustal imperfection

Unit 2

Unit 2.1: Diffusion: Fick's laws and application of diffusion in intering, doping of

semiconductors and surface hardening of metals. Ceramics: Structure, properties, processing

and applications of traditional and advanced ceramics. Polymers: Classification,

polymerization, structure and properties, additives for polymer products, processing and

applications. Composites: Properties and applications of various composites.

Unit 2.2: Self study topics: Mechanical properties of materials and its testing, hardness test

Unit 3

Unit 3.1: Optical properties of Materials: Scattering, Refraction, Theory of Refraction and

absorption, Atomic Theory of optical properties. Lasers, Optical fibres- Principle, structure,

application of optical fibres. Plastic-: Thermosetting and thermoplastics. Ceramics: Types,

structure, Mechanical properties, application Composite Materials: Agglomerated Materials:

Cermets .Reinforced Materials: Reinforced Concrete. Fibre reinforced plastics, Properties of

composites, Metal matrix composites, manufacturing procedure for fiber reinforced

composite.

Unit3.2: Self study topics: Selection of material for different engineering applications

Unit 4

Unit 4.1: Technological importance of corrosion study, corrosion as non equilibrium process,

corrosion rate expressions, electrochemical principles of corrosion-cell analogy, concept of

single electrode potential, reference electrodes, e.m.f. and galvanic series-their uses in

corrosion studies, polarization, passivity. Different forms of corrosion and remedial

measures.

Unit 4.2: Self study topics: Principles of corrosion prevention, cathodic and anodic

protection, coatings. Corrosion testing methods.

Unit 5 Unit 5.1: Introduction to high temperature corrosion, Pilling-Bedworth ratio. Prevention of

high temperature corrosion -use of coatings. Liquid metal attack, preventive measures.

Chemical degradation of non-metallic materials like rubbers, plastics, ceramics etc. Hydrogen

damage - types, characteristics, mechanism and preventive measures.

Unit 5.2: Wagner-Hauffe valence approach in alloy oxidation, catastrophic oxidation, internal

oxidation.

Note: Five assignments to be given to the students on self study, comprising of one assignment



from each unit.

Text Books:

1. Materials Science and Engineering by W. D. Callister, Wiley and Sons Inc.

2. Corrosion Engineering by Fontana, M. G., McGraw-Hill.

3. Corrosion & Corrosion Control by H. H. Uhlig, John Wiley & Sons.

Reference Books:

1. Introduction to Physical Metallurgy by Avner, Tata McGraw Hill

2. Physical Metallurgy: Principles and Practice by Ragahvan, PHI

3. Introduction to Metallic Corrosion by Evans.

4. Introduction to Electrochemistry by S. Glasstone.




CH46101: Material Science & Engineering [0-0-1]

ELECTIVE-II

[OPEN ELECTIVE] Teaching Scheme: Tutorial 01 Hr / Week

Prerequisite: Engineering Chemistry and Physics

Objectives:

1. To understand about material science and classification of material.

2. To acquire knowledge of mechanical properties and testing methods of materials.

3. To know the phase transformation and familiarize with different types of non ferrous

alloys.

4. To provide engineering students with a fundamental understanding of the causes.

5. To prevention of materials degradation in chemically aggressive environments.

6. Provide fundamental understanding of aspects electrochemistry relevant to corrosion

phenomena.

7. Provide methodologies for predicting, measuring and analyzing corrosion performances of

materials.

8. Identify practices for the prevention and remediation of corrosion.


CO1: Gain knowledge of classification of materials.



CO2: Acquire knowledge of mechanical properties

CO3: Familiarize with the different types of non ferrous alloys

CO4: Understand the causes of and the mechanism of various types of corrosion.

CO5: Illustrate to identify suitable materials and economically viable mechanisms to prevent

or reduce the corrosion to a tolerable level.

Course Details:

List of Contents:

Tutorial No. 1: Problems based on Miller Indices.

Tutorial No. 2: Problems based on crystal structure.

Tutorial No. 3: Problems based on Fick’s law of diffusion.

Tutorial No. 4: Problems based on BCC and FCC.

Tutorial No. 5: Problems based on crystal lattice.

Tutorial No. 6: Problems based on ceramic materials and composition.

Tutorial No. 7: Problems based on optical properties of materials.

Tutorial No. 8: Problems based on phase rule and percentage of materials present in phases.

Tutorial No. 9: Problems based on corrosion prevention, cathodic and anodic protection.

Tutorial No. 10: Problems based on corrosion testing methods.

Tutorial No. 11: Problems based on Pilling-Bedworth ratio.

Tutorial No. 12: Studies on Wagner-Hauffe valence approach.

Text Books:

1. Materials Science and Engineering by W. D. Callister, Wiley and Sons Inc.

2. Corrosion Engineering by Fontana, M. G., McGraw-Hill.

3. Corrosion & Corrosion Control by H. H. Uhlig, John Wiley & Sons.

Reference Books:

1. Introduction to Physical Metallurgy by Avner, Tata McGraw Hill

2. Physical Metallurgy: Principles and Practice by Ragahvan, PHI

3. Introduction to Metallic Corrosion by Evans.

4. Introduction to Electrochemistry by S. Glasstone.




CH46102: Environmental and Energy Engineering [3-0-0]

ELECTIVE – II



[Open Elective] Credits: 04 Teaching Scheme: 03 Hrs / Week

Prerequisites: Basic knowledge of Chemistry, Physics, Mathematics.

Objectives:

Urgent demand for new energy sources and scarce natural resources, as well as increasing

needs for waste management, are major challenges for nations and municipalities all over the

world. Environmental issues are nowadays considered a megatrend and business activities in

connection to energy and the environment are growing fast. To meet these challenges

industrial companies, authorities and organizations need engineers that can grasp their

assignments in a holistic way. These engineers need to have the required technical

competence as well as a capability to consider economical, legislative and social aspects.

Henceforth the objectives of this course are stated as following:

1) The course is designed to provide the students with a comprehensive competence in

environmental and energy related issues that are relevant especially for industrial

companies, but also for authorities and organizations.

2) The curriculum includes subjects such as energy production and efficiency, resource and

waste management, energy audit, management, system analysis and environmental impact

assessment, renewable and non renewable energy sources, as well as contemporary issues

of the subjects.

3) The broad base described above enables the engineers to start their career in many

different positions and the holistic view provides tools for communicating and cooperating

with many different kinds of specialists.


CO1.Understand the role of environmental pollution amidst world industrial scenario, its

sources and control strategies applicable for water and air pollution.

CO2.Apply the knowledge of non renewable energy sources to upgrade the process for

energy production in terms of efficiency, cost and diversity in applications.

CO3.Identify the different sources for sustainable energy production and application that

could solve the challenges of energy security and environmental issues.

CO4.Investigate. the impact assessment, its various methodologies related to environmental

issues.

CO5:Illustrate the methodologies for energy audit, conservation and management in view of

practical applications.



UNIT 1: Environmental Pollution and Control (06hrs.)

U1.1.Environmental Pollution- units of measurements, material balance and energy

fundamentals, classification of pollution ,Air Pollution Control–Sampling measurement and

analysis of air pollutants-, Water Pollution - sources of water pollutants– Classification and

effects of Water Pollutants ,Water pollution Laws and Standard.

U1.2 Self study topics: Solid waste pollution, prevention, control and utilization

UNIT 2: Fuel and Combustion Technology (06hrs.)

U2.1 Coal and coal derived fuels - Characteristics, production methods and uses - Coal

combustion technology, Oil And Gases - Fuels from oil and gases, Characteristics,

production methods and uses - Technology for combustion of fuels derived from oil and gas,

Combustion: Combustion of solids fuels, Pulverized coal. Calculation of volumes and

weights of air necessary for combustion of fuels, gas analysis. Chemical looping combustion

(CLC), Concept of the CLC process, development of CLC.

U2.2 Self study topics: Heat Treatment Furnaces- Industrial furnaces – process furnaces –

Kilns – Batch & continuous furnaces

UNIT 3: Renewable Energy Technologies (06hrs.)

U3.1.Classification of Energy ,Difference between renewable Energy and non-renewable

energy, sources of green energy, Solar Energy, Bioenergy sources and applications, wind

energy, hydrothermal Energy, Nuclear energy, Fuel Cell Technology.

U3.2 Self study topics: Ocean and Geothermal Energy, Contemporary issues on non-

conventional energy sources and application

UNIT 4: Environmental Impact Assessment and Economic Analysis (06hrs.)

U.4.1 Principles, Production and assessment of impacts due to air and water pollution on the

environment. Environment Impact Assessment in the land and biological environment

Methodologies for Environmental Impact Assessment: Case studies, Assessing Impacts and

Setting Priorities, Economic Measurement of Environmental Impacts – Theoretical Basis and

Practical Applications. Selectively Applicable Techniques of Valuing Environmental

Impacts, Potentially applicable techniques of valuing environmental impacts.

U4.2 Self study topics: The limits of Economic Measurement of Environmental Impacts –

case studies

UNIT 5: Energy Audit, Conservation and Management (06hrs.)

U5.1Indian Energy Scenario, Types & Forms of Energy , An overview of energy consumption

and its effects, Reasons to save energy (financial and environmental) , Definition & objective of



energy management, Energy Audit, Types & Methodology, Energy audit report format ,

Instruments, Steam systems, Steam Traps, Cogeneration, Principles & Operation, Waste Heat

Recovery.

U5.2. Self study topics: Case studies of energy audit in different industries, Economics of

WHR Systems



Text Books:

1. Rao C .S. "Environmental Pollution Control Engineering,” 2nd Edition, New Age

International Publishers, 2006

2. Gilbert M. Masters, “Introduction to Environmental Engineering and Science”, 2

ndEdition, Prentice Hall, 1998.

3. John Andrews, Nick Jelley, Energy Science: Principles, technologies and impacts (2013),

Oxford Universities press.

4. Godfrey Boyle, Renewable Energy, power for a sustainable future (2012), Oxford

University Press

5. S.P. Sharma & Chander Mohan, “Fuels & Combustion”, Tata McGraw Hill

PublishingCo. Ltd., 1984

6. Dr. Samir Sarkar, “Fuels & Combustion”, Orient Longman, Second edition, 1990.

7. Fang Lin You, Hong ye, Renewable Energy Systems, Advanced conversion technologies

and applications (2012) CRC Press.

8. Barthwal, R. R., Environmental Impact Assessment, New Age International publishers (P)

Ltd., 2002

9. Adaptive environmental assessment and Management Ed. C. S. Holling, John Wiley and

Sons, 2000

10. Smith CB (2015) Energy Management Principles, Pergamon Press, NewYork.

11. T. D. Eastop and D.R. Croft (1996), Energy Efficiency for Engineers and Technologists,

Longman Harlow

Reference Books:

1. A. P. Sincero and G.A. Sincero , Environmental Engineering: A Design

Approach,Prentice Hall of India pvt Ltd, N.Delhi.1996m.

2. Environmental Impact Assessment L.W .Canter, McGraw Hill Book Company, 1977.



3. Energy Sources and their Environmental Impact, S.A.Abbasi, N.Abbasi, Prentice Hall of

India.

4. LC Witte, PS Schmidt and DR Brown (1998): Industrial Energy Management and

Utilization, Hemisphere Publishing Corporation, Washington.




Documents

C.V. Raman College of Engineering, (An Autonomous