1. |
CB3201 |
Process Plant Design and Economics ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CB3201
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Process Plant Design and Economics
|
Learning Mode
|
Lectures
|
Learning Objectives
|
To learn design principles and economics as applied in various chemical engineering processes and operations.
To integrate all the knowledge gained in the chemical engineering course. curriculum and apply this understanding to solving real-life process problems.
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Course Description
|
This course covers the basic concepts of various process parameters in engineering economics and plant design in developing a techno-economic process and plant design.
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Course Content
|
Introduction to plant design; General design consideration, process design and development; Analysis of cost estimation: cash flow, production costs, capital investment, cost indexes; Estimation of capital investment and total product cost; Interest; Time value of money; Cash flow patterns; Taxes and fixed charges; Profitability standards; Methods for calculating profitability, Alternative investments, and replacement; Developing a conceptual design and finding the best; Input information; Batch versus continuous; Input-output structure and recycle structure of the flowsheet; Application of separation system; Application of heat exchanger network design principles; Cost diagrams and quick screening of process alternatives; Case study; Techno-economic feasibility and report writing.
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Learning Outcome
|
Develop the ability to design new or improve existing processes and plants.
Develop a broad spectrum of knowledge and intellectual skill to design new or modified products that will benefit society.
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Assessment Method
|
Assignments, Quizzes, Mid-semester examination and End-semester examination.
|
Text Books
|
1. J. Douglas, Conceptual Design of Chemical Processes, McGraw Hill, 1989.
2. M.S. Peters, K.D. Timmerhaus, R.E. West, Plant Design and Economics for Chemical Engineers, McGraw Hill Education, 5th Ed., 2003.
|
Reference Books
|
1. L.T. Biegler, I.E. Grossmann, A.W. Westerberg, Systematic Methods of Chemical Process Design, Prentice Hall, 1997.
2. R. Smith, Chemical Process Design, McGraw Hill, 1995.
3. E.E. Ludwig, Applied Project Engineering, Gulf Publishing Company, 2nd Ed., 1988.
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|
2. |
CB3202 |
Transport Phenomena ▼
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3 |
1 |
0 |
4 |
Course Number
|
CB3202
|
Course Credit (L-T-P-C)
|
3-1-0-4
|
Course Title
|
Transport Phenomena
|
Learning Mode
|
Lectures and Tutorials
|
Prerequisite
|
CB2102 (Fluid Mechanics), CB2103 (Heat Transfer), CB2202 (Mass Transfer-I)
|
Learning Objectives
|
To develop a correspondence among all the transport processes involving heat, mass, and momentum exchange.
To identify generalized fundamental equations dealing with all the basic laws of convective and diffusive transport of quantities and highlighting the analogy/relation among them.
|
Course Description
|
This course develops a relation among all the transport processes (momentum, heat, concentration) through a general transport equation and analogous relations.
|
Course Content
|
Introduction; Vector and tensor analysis; Gradient, divergence and curl; Shear stress and rate of deformation tensors; Material derivative; Continuum theory; Molecular transport mechanisms; Newton’s law of viscosity; Fourier’s law of heat conduction; Fick’s law of diffusion; Transport in laminar flow in one dimension; Reynolds transport theorem; Development of continuity (mass conservation) equation; Momentum conservation; Energy conservation; Scalar transport equation; Velocity, temperature and concentration profiles; Equations of change for isothermal, non-isothermal and multi-component systems. Equations of motion for free- and forced-convection (heat/mass); Development of boundary layer equations; Momentum, energy and mass transport in boundary layers with relevant analogies; Interphase and unsteady-state transport.
|
Learning Outcome
|
Understanding the role of vectors and tensors in transport processes.
Comprehensive derivation of conservation equations based on control volume and control mass formulation and their solution under steady/unsteady conditions.
In-depth knowledge on boundary layer formation, its significance, equations and solution.
|
Assessment Method
|
Assignments, Quizzes, Mid-semester examination, End-semester examination.
|
Text Books
|
1. R.B. Bird, W.E. Stewart, E.N. Lightfoot, Transport Phenomena, Wiley, 2nd Ed., 2006.
2. F.P. Incropera, D.P. Dewitt, Fundamentals of Heat and Mass Transfer, John Wiley & Sons Inc., 5th Ed., 2010.
|
Reference Books
|
1. P.J. Pritchard, R.W. Fox, A.T. McDonald, Introduction to Fluid Mechanics, John Wiley & Sons Inc., 8th Ed., 2011.
2. E.L. Cussler, Diffusion: Mass Transfer in Fluid Systems, Cambridge University Press, 3rd Ed., 2009.
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3. |
CB3203 |
Numerical Methods in Chemical Engineering ▼
|
3 |
1 |
0 |
4 |
Course Number
|
CB3203
|
Course Credit (L-T-P-C)
|
3-1-0-4
|
Course Title
|
Numerical Methods in Chemical Engineering
|
Learning Mode
|
Classroom Lectures and Tutorials
|
Learning Objectives
|
Familiarization with various mathematical models and numerical techniques.
Integration of mathematical modeling with computational tools.
Formulation of real-life problems associated with heat and mass transfer, fluid mechanics and chemical reaction engineering.
|
Course Description
|
This course introduces the various numerical methods for solving different mathematical problems and how to formulate chemical engineering problems and apply them to solve them computationally.
|
Course Content
|
Solution of simultaneous linear equations; Matrix representation; Cramer’s rule; Gauss elimination; Matrix inversion; LU decomposition; Non-linear equations- Bisection method, Regular-Falsi method, Newton-Raphson method, Fixed-point iteration method; Eigen values and eigen vectors of matrices: Jacobi method, Power methods; Statistical analysis of data: curve fitting, approximation of functions; Interpolation: finite difference operators, difference tables, Newton's forward/backward difference, Lagrange interpolation, Newton’s divided difference interpolation; Numerical integration: Trapezoidal and Simpson's rules for integration; Differentiation using forward/backward/central difference formula; Ordinary differential equations - initial and boundary value problems: Euler method, Euler modified method, Runge-Kutta methods; Partial differential equations; Error and stability analysis in numerical computing; Implementation of numerical methods through programming.
|
Learning Outcome
|
Solving a variety of complex mathematical problems.
Developing confidence in problem-solving capability using various computational tools.
Modeling of real-world chemical engineering problems and solving them using numerical techniques.
|
Assessment Method
|
Assignments, Quizzes, Mid-semester examination and End-semester examination
|
Text Books
|
1. S. C. Chapra, R. P. Canale, Numerical Methods for Engineers, Tata-McGraw-Hill, 7th Ed., 2015.
2. S. K. Gupta, Numerical Methods for Engineers, New Age International, 1st Ed., 2001.
|
Reference Books
|
1. A. Constantinides, Applied Numerical Methods with Personal Computers, McGraw-Hill, 1st Ed., 1987.
2. F. Gerald, P. O. Wheatley, Applied Numerical Methods, Pearson Education, 7th Ed., 2003.
3. R.M. Somasundaram, R. M. Chandrasekaran, Numerical Methods with C++ Programming, Prentice-Hall of India, 1st Ed., 2005.
4. W.H. Press, S.A. Teukolsky, W.T. Vellerling, B.P. Flannery, Numerical Recipes in FORTRAN: The Art of Scientific Programming, Cambridge University Press, 2nd Ed., 1992.
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|
4. |
CB3204 |
AI/ML for Chemical Engineers ▼
|
1 |
0 |
4 |
3 |
Course Number
|
CB3204
|
Course Credit (L-T-P-C)
|
1-0-4-3
|
Course Title
|
AI/ML for Chemical Engineers
|
Learning Mode
|
Classroom lectures and practical
|
Learning Objectives
|
Deliver background on AI in chemical engineering and allied systems.
To learn about artificial intelligence basics and applications.
To learn about AI/ML application for prediction/classification in chemical engineering problems.
|
Course Description
|
This course gives the overview of artificial intelligence and machine learning algorithms in the context of chemical engineering problems.
|
Course Content
|
Introduction to artificial intelligence: history, definition and scope, scope in chemical engineering; Knowledge: knowledge representation, heuristic knowledge, rule-based knowledge; Decision trees; Object oriented programming; Artificial neural networks: types, training methods, uses, data fitting; Application of AI in modeling: AI in chemical process modeling, AI in optimization of chemical process, Application of neural networks in chemical process control; Modelling real-world processes: Deep and shallow knowledge integrated with approximate reasoning in a diagnostic expert system; Application of AI techniques in fault detection and diagnosis of chemical engineering; Case studies; AI in chemical engineering: recent trends; Development in large scale systems of self-organizing intelligent agents, Introduction to IIoT.
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Learning Outcome
|
Gain fundamental understanding of the application of AI in chemical and allied engineering.
Learn to develop AI model equations, approaches for chemical and allied engineering systems.
Learn to write basic codes of AI for simple systems.
|
Assessment Method
|
Assignments, Literature review, Simulations, Quiz, Mid-semester examination and End-semester examination.
|
Text Books
|
1. T. E. Quantrille, Y. A. Liu. Artificial Intelligence in Chemical Engineering, Elsevier, 2012.
2. M. L. Mavrovouniotis, Artificial Intelligence in Process Engineering, Academic Press, 1990.
|
Reference Books
|
1. V. Venkatasubramanian, The Promise of Artificial Intelligence in Chemical Engineering: Is It Here, Finally? AIChE, Vol. 65, 2019.
2. M. Gopal, Applied Machine Learning, McGraw-Hill Education, 2018.
3. K. P. Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012.
4. A. Smola, S. V. N. Vishwanathan, Introduction to Machine Learning, Cambridge University, UK, 2008.
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5. |
CB3205 |
Chemical Plant Safety and Hazards ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CB3205
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Chemical Plant Safety and Hazards
|
Learning Mode
|
Classroom lectures
|
Learning Objectives
|
To conduct assessments and to produce safe operational working procedures in industries and research laboratories.
To apply the principles and approach of inherently safer design to reduce and eliminate hazards, lowering the risk of new or currently operating chemical plants.
To plan emergency procedures and disaster management.
|
Course Description
|
The course helps students learn and analyze different risks associated with chemical process plants. This course will also help students understand how to work in emergencies.
|
Course Content
|
Engineering ethics, accidents, loss statistics, acceptable risk, and inherent safety; Identification, classification, and assessments of various hazards and safety audits; Reactivity, instability, and explosiveness of materials; Hazard indices, hazard assessment and operability (HAZOP); Case studies; Seven significant disasters; Consequences analysis: Discharge model, flash and evaporation, and dispersion models; Explosion and fires: Unconfined vapor cloud explosion and flash fires, physical explosion, BLEVE and fireball, confined explosion, pool fire & jet fire; Effect models: Toxic gas effects, thermal effects, explosion effects, evasive actions; Risk estimates: Risk indices, individual and societal risks; Emergency planning and disaster management plan; Emergency work planning, and procedures; Disaster management planes.
|
Learning Outcome
|
Students will be able to identify the typical sources of risk in process plants by hazard identification and examination of case studies and to perform chemical process safety analysis on a proposed process.
|
Assessment Method
|
Assignments, Quizzes, Mid-semester examinations, and End-semester examination
|
Text Books
|
1. D.A. Crowl, J. F. Louvar, Chemical Process Safety, Fundamentals with Applications, 2nd Ed, Prentice Hall, 2002.
2. F. Crawley, Malcolm Preston, Brian Tyler, HAZOP Guide to Best Practice, 2nd Edition, IChemE, 2008.
3. J.W. Vincoli, J. Hoboken, Basic Guide to System Safety, Wiley & Sons, Inc., New Jersey, 2014.
|
Reference Books
|
1. A.M. Flynn, L. Theodore, M. Dekker, Health, Safety and Accident Management in the Chemical Process Industries, Inc. NW, 2002.
2. AIChE, Guidelines for Chemical Process Quantitative Risk Analysis. 2nd edition, John Wiley & Sons, Inc., Hoboken, New Jersey, 2000.
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|
6. |
CB32XX |
DE-I ▼
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3 |
0 |
0 |
3 |
DE-I - Department Elective-I Options:
Sl. No. |
Subject Code |
Course |
L |
T |
P |
C |
1. |
CB3206 |
Catalysis Science and Engineering ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CB3206
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Catalysis Science and Engineering
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Provides students with basic concepts regarding the design, operation, and process related to the use of catalysis, basic characterization techniques, and reaction engineering
|
Course Description
|
This course contains the basic understanding of heterogeneous and homogeneous catalysis. Also, various characterization techniques and the underlying working principle.
|
Course Content
|
Fundamentals of solid catalysts and their relevant characterization techniques (such as surface area analyzer, X- ray diffraction, FTIR, Raman, XPS, electron microscopy, thermal analysis) for estimation of chemical and physical properties; Synthesis methods of catalysts; Types of catalytic reactors and effect of external and internal transport resistances; Catalyst deactivation; Study of different industrial catalysts such as for Steam Reforming and Petroleum Refining; Environmental Catalysis; Hydrogenation and oxidation catalysis, Homogeneous catalysis: Enzyme catalysis, Zeolites catalysts; Polymerization catalysts; Carbon nanotubes; Nano metal or metal oxide catalysts; Phase transfer catalysts; Design of catalysis- supported and non-supported; Molecular Modeling.
|
Learning Outcome
|
Able to analyze the basic principles and techniques of catalytic reaction engineering
|
Assessment Method
|
Assignments, Quizzes, Mid-semester examination and End-semester examination
|
Text Books
|
1. R.J. Farrauto, C.H. Bartholomew, Fundamentals of Industrial Catalytic Processes, Blackie Academic & Professional, 2nd Ed., 1997.
2. H.S. Fogler, Elements of Chemical Reaction Engineering, Prentice Hall, 4th Ed., 2008.
3. J.J. Carberry, Chemical and catalytic reaction Engineering, Dover Publications, 2001.
|
Reference Books
|
1. J.M. Smith, Chemical Engineering Kinetics, McGraw Hill, 3rd Ed., 1980.
2. D.M. Ruthven, Principle of adsorption & adsorption processes, John Wiley & sons, 1st Ed., 1984.
3. C.H. Bartholomew, R. J. Farrauto, Fundamentals of Industrial Catalytic Processes, Wiley- VCH, 2nd Ed., 1997.
4. B. Viswanathan, S. Sivasanker, A.V. Ramaswamy, Catalysis: Principles & Applications, Narosa Publishing House, 2002.
5. J.M. Thomas, W.J. Thomas, Principles and Practice of Heterogeneous Catalysis, VCH, 2nd Ed., 1997.
6. L.D. Schmidt, The Engineering of Chemical Reactions, Oxford University Press, 1998.
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|
2. |
CB3207 |
Biopharmaceutical Downstream Processing ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CB3207
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Biopharmaceutical Downstream Processing
|
Learning Mode
|
Classroom lectures
|
Learning Objectives
|
To learn theory and design of liquid chromatography step.
Learning application of basic concepts of mass transfer principles in liquid chromatography separation process.
Learning of quality-by-design (QbD) based preparative chromatography process development.
|
Course Description
|
Syllabus addresses preparative chromatography for industrial separation and purification of proteins and explains the physicochemical phenomena involved in the liquid chromatography step. Presents Quality-by-Design (QbD) model-based approaches for chromatography process development initiated by FDA regulatory authorities.
|
Course Content
|
Introduction to biomolecules; Analytical characterization of therapeutic biomolecules: high performance liquid chromatography, mass spectrophotometry, capillary electrophoresis, near infrared spectroscopy, UV spectroscopy; Unit operations in therapeutic protein production: Upstream and downstream processing; Preparative liquid chromatography; and Modes: affinity, reverse-phase, size exclusion, ion-exchange, hydrophobic interaction, multimodal chromatography; Stages in operation of liquid chromatography step; Zone movement in chromatography column; Height equivalent to Theoretical Plate (HETP); Mode of operation: Linear Gradient Elution (LGE) and Flow-through mode chromatography; Stationary phase properties characterization; Binding of protein to stationary phase: distribution coefficient and binding sites; Chromatography process development: one-factor-at-a-time (OFAT), design of experiments (DoE), high throughput process development (HTPD) plate study; Quality-by-design (QbD) model based approaches; Process chromatography: process development and optimization, scale-up, and intensification.
|
Learning Outcome
|
Identifying the applications of different modes of liquid chromatography in therapeutic protein purification.
Learning upstream and downstream unit operations and QbD based chromatography modeling involved in manufacture of therapeutic proteins
|
Assessment Method
|
Assignments, Quiz, Mid-semester examination and End-semester examination
|
Text Books
|
1. G. Guiochon, A. Felinger, D. G. Shirazi, A. M. Katti, Fundamentals of Preparative and Non-Linear Chromatography, 2nd Ed., Elsevier, 2006.
2. A. Staby, A. S. Rathore, S. Ahuja, Preparative Chromatography for Separation of Proteins. John Wiley & Sons, 2017.
|
Reference Books
|
1. G. Carta, A. Jungbauer, Protein chromatography: Process Development and Scale-up, John Wiley & Sons, 2020.
2. A. S. Rathore, A. Velayudhan, Scale-up and Optimization in Preparative Chromatography, Taylor & Francis, 2002.
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|
3. |
CB3208 |
Material Science and Engineering ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CB3208
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Material Science and Engineering
|
Learning Mode
|
Classroom lectures
|
Learning Objectives
|
To build an understanding on the basic models of elementary structures, material classification, and material properties.
Analyze phase diagrams of binary and multi-component mixtures.
Evaluate material properties and their failure mechanisms to identify potential applications.
|
Course Description
|
The course will provide basic understanding of the concepts of material science, and to identify materials suitable for various engineering applications based on their properties.
|
Course Content
|
Structure of atoms; Rutherford and Bohr’s models; Bonding in solids; Types of solids; Crystal systems; Bravais lattices; Miller indices; Crystal defects; Determination of crystal structure; Properties of engineering materials; Mechanical properties and methods of measurements; Poisson’s ratio; Stress-strain relation; True stress and true strain; Technological properties; Phase diagrams and transformations; Iron and iron carbide phase diagrams; Eutectic systems; Solid solutions; Heat treatment of metals and alloys; Non-ferrous metals and alloys; Alloys for specialized applications: High temperature; Nuclear applications; Corrosion resistance; Types and application of non-metallic materials: Ceramics; Polymers; Composite materials; Material failure: Fracture; Griffith theory; Crack propagation; Fatigue; Creep curves; Thermal, electrical, optical and magnetic properties of material; Materials for chemical industries: equipment, catalysts, adsorbents, membranes; Novel materials: 2D materials, nanomaterials.
|
Learning Outcome
|
Explain material selection based on various properties and their requirements.
Evaluate suitability of different materials for specific engineering applications.
|
Assessment Method
|
Assignments, Quiz, Mid-semester examination and End-semester examination
|
Text Books
|
1. W. D. Callister, D. G. Rethwisch, Callister’s Material Science and Engineering, Wiley Publishers, 10th Ed., 2019.
2. V. Raghavan, Materials Science and Engienering: A First Course, PHI Learning, 6th Ed., 2015.
|
Reference Books
|
1. B.S. Mitchell, An Introduction to Materials Engineering and Science for Chemical and Materials Engineers, Wiley- Interscience, 1st Ed., 2003.
2. S. Zhang, L. Li, A. Kumar, Materials Characterisation Techniques, CRC press, 2008.
3. J. Roesler, H. Harders, M. Baeker, Mechanical Behaviour of Engineering Materials: Metals, Ceramics, Polymers, and Composites, Springer-Verlag, 2007.
4. R. J Young, P. A. Lovell, Introduction to Polymers, CRC Press, 3rd Ed., 2011.
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|
4. |
CB3209 |
Introduction to Microfluidics Technology ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CB3209
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Introduction to Microfluidics Technology
|
Learning Mode
|
Classroom lectures
|
Learning Objectives
|
To develop the skills and techniques for handling the systems in micro- and nanoscale.
To develop the fundamental knowledge on various microfabrication techniques.
To gain required skills for the designing of fluidic circuits for various biomedical applications.
|
Course Description
|
This course gives basic understanding on:
Principles of incompressible fluid mechanics and challenges, slip effects, lubrication theory, and electrokinetic phenomena at the micro and nanoscale.
Biomedical applications illustrating fabrication techniques and experimental methods.
|
Course Content
|
Introduction; Fundamentals: scaling laws, microfluidics vs. macrofluidics; Micro-scale fluid mechanics: dynamics at small scales, interfacial phenomena and surface effects in microchannels; Intermolecular forces: surface tension, wetting, contact angle; Governing equations at small scale: low Reynolds number flows, Electrokinetic phenomena; Continuum approach and deviations: Knudsen number and transition to non-continuum flows, slip boundary; Constitutive relations: rheological models, thermal effects; Low-Reynolds flows: characteristics, Stokes drag, transition; Couette and Poiseuille flows in microchannels, Capillary flows; Lab-on-Chip: concepts, sensing and detection technologies in healthcare, environment, and point-of-care diagnostics; Electrokinetics; Microfabrication techniques: oxidation, photolithography, spin coating, etching, wafer bonding, polymer microfabrication on PMMA/PDMS substrates, micromolding, and hot embossing; Bio-microfluidics: drug delivery systems, point-of-care devices, bio-sensing technologies.
|
Learning Outcome
|
Understand microfluidics technology and lab-on-a-chip systems.
Master basic fluid mechanics at small scales.
Know basic multi-physics for microfluidic applications.
Apply standard fabrication technologies for microfluidics.
|
Assessment Method
|
Assignments, Quiz, Mid-semester examination, End-semester examination
|
Text Books
|
1. N.T. Nguyen, S.T. Werely, Fundamentals and Applications of Microfluidics, Artech house Inc., 2002.
2. P. Tabeling, Introduction to Microfluidics, Oxford University Press Inc., 2005.
3. S. Chakraborty, Microfluidics and Microfabrication, Springer, 2010.
|
Reference Books
|
1. S. Colin, Microfluidics, John Wiley & Sons, 2009.
2. M.J. Madou, Fundamentals of Microfabrication, CRC press, 2002.
3. H. Bruus, Theoretical Microfluidics, Oxford University Press Inc., 2008.
4. B.J. Kirby, Micro- and Nanoscale Fluid Mechanics: Transport in Microfluidic Devices, Cambridge University Press, 2010.
|
|
|
TOTAL |
16 |
2 |
4 |
20 |