M.Tech Computational Fluid Dynamics 2017- Dr Sudhir Joshi

UNIVERSITY OF PETROLEUM & ENERGY STUDIES


(ISO 9001:2008 Certified)

M.TECH (COMPUTATIONAL FLUID DYNAMICS)

(VERSION 1.0)

w.e.f. 2017

_________________________________________________________________________________________

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M.TECH (COMPUTATIONAL FLUID DYNAMICS) w.e.f 2017

Semester I Semester II

Subject Code

Subject Credits Subject Code

Subject Credits

ASEG 7001 Introduction to CFD 3 ASEG 7011 Geometric Modeling & Grid Generation Techniques 3

ASEG 7002 Introduction to Fluid Dynamics 3 ASEG 7012 Laminar & Turbulent Flows 3

ASEG 7003 Advanced Heat and Mass Transfer 3 ASEG 7013 Reaction Fronts and Combustion Analysis 3

ASEG 7004 Compressible Flows 3 ASEG 7014 Introduction to Multiphase Flow 3

ASEG 7005 Finite Differences and Finite Volumes Method Analysis 3 ASEG 7015

Visualization of Advanced Fluid Flow and Flow Diagnostics 3

ASEG 7006 Finite Elements and Boundary Elements Analysis 3 ASEG 7016

Advanced Computational Techniques 3

ASEG 7101

CFD Lab

1 ASEG 7111

Lab – Computational Technique with MATLAB Programming 3

SEMI 7101 Seminar I 1

TOTAL 19

TOTAL 22

Semester III

Semester IV Subject Code

Subject Credits Subject Code

Subject Credits

ASEG 8001 Software Engineering and Project Management 3 PROJ 8102 Project - II 16

ASEG 8002 Usage of CFD in Multidisciplinary Applications 3

ASEG 8003 Commercial CFD Software Applications 3

ASEG 8004 High Performance and Parallel Computing Applications for CFD 3

ASEG 8103 LAB- Commercial CFD Software Applications 3

ASEG 8102 CFD Industrial Application Project 3

SIIB 8101 Summer Internship 2

SEMI 8101 Seminar II 1

PROJ 8101 Project - I 2

TOTAL 23

16 TOTAL CREDITS POINTS 79




Program Outcomes

1. Scholarship of Knowledge - Acquire in-depth knowledge of specific discipline and global

perspective, with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge pool.

2. Critical Thinking - Analyze complex engineering problems critically, apply independent judgement for synthesizing information to make intellectual and/or creative advances for conducting research in a wider theoretical, practical and policy context.

3. Problem Solving - Think laterally and originally, conceptualize and solve engineering problems, evaluate a wide range of potential solutions for those problems and arrive at feasible, optimal solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.

4. Research Skill - Extract information through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, contribute individually/in group(s) to the development of scientific/technological knowledge in one or more domains of engineering.

5. Usage of modern tools - Create, select, learn and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.

6. Collaborative and Multidisciplinary work – Demonstrate collaboration to foster multidisciplinary scientific research, also demonstrate decision-making abilities to achieve common goals.

7. Project Management and Finance - Demonstrate knowledge and understanding to manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economical and financial factors.

8. Communication - Communicate with the engineering community and with society, regarding complex engineering activities confidently and effectively and give and receive clear instructions.

9. Life-long Learning - Recognize the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.

10. Ethical Practices and Social Responsibility - Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.

11. Independent and Reflective Learning - Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.




Program Educational Objectives (PEO)

PEO1 Analyze, design and evaluate Engineering systems using the knowledge of mathematics, science, engineering and IT tools.

PEO2 Solve complex Fluid Flow and Heat Transfer problems for advanced application and societal development.

PEO3 Design CODES/ Software’s, using governing Equations for Fluid Flows and its associated branch of science that will meet the needs for various economic, environmental and social constraints.

PEO4 Undertake an independent research project, resulting in publications and research outputs in terms of publications in high impact factor journals, conference proceedings, and patents

Program Specific Outcomes (PSO)

PSO1: Apply knowledge of Fluid Dynamics, Aerodynamics, Heat Transfer and Computational Techniques Initial Boundary Value Problems in designing of fluid dynamics problems. PSO2: Develop content for research papers, technical Reports and research proposals with strict ethical standards.







Course Objectives

1. To help the students understand the fundamentals and relevance of fluid mechanics in the broader context of engineering sciences in general, and automotive engineering in particular

2. To enable students to understand fluid properties and apply laws of fluid mechanics and analyse fluid flows through different configurations along with the measurement of flow parameters.

3. To empower students with the expertise of experimentation, simulation and the fundamental concepts that are required to translate a novel engineering idea to reality through dimensional analysis and similitude.

4. To expose students to a wide variety of research areas and concerns in and around fluid mechanics such as energy, health etc. across multidisciplinary domains.

5. To equip students with necessary engineering skills such as solving engineering problems in a professional way, using commercial software packages such as ANSYS Fluent, MATLAB etc. for data analysis and presentation, numerical simulations etc.

Course Outcomes On completion of this course, the students will be able to CO1. Understand basic knowledge of computational methods in Fluid flow applications CO2. Analyze Initial Boundary Value problems and determine various quantities of Interest. CO3. Apply appropriate solution strategy and estimate the accuracy of the results for a given flow case CO4. Select and formulate various CFD problems by considering appropriate boundary conditions. CO5. Adapt to various commercial software for solving numerical problems Catalog Description Computational fluid dynamics is an important tool to investigate fluid flow problems in industry and academia. This course can be taken without prior background in computational techniques. A background of fundamental fluid dynamics, partial differential equations, linear algebra and a programming language is desirable. The primary focus of this course is to gain a solid foundation of numerical methods for different fluid problems like convection-diffusion problems. The emphasis is on the physical meaning underlying the required mathematics. A control volume method, which is a robust physically intuitive

ASEG7001 INTRODUCTION TO CFD L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Strong Knowledge of Fluid Dynamics: Laws governing different

flows, basic equations, flow modeling. Mathematical Expositions: Linear Algebra, Calculus and Probability.

Co-requisites --




numerical approach, widely used in industry and academia alike, is taught along with its applications in various fields. Course Content

Unit I: 4 lecture hours Introduction: Philosophy of Computational Fluid Dynamics (CFD), Impact of CFD and its use as research and design tool. Application areas: Automobile & Engine, Civil engineering, Environmental, Naval Architecture. Unit II: 8 lecture hours Governing Equations of fluid dynamics: Derivation, discussion of their physical meaning, models of the flow, substantial derivative, Divergence of a velocity, Navier-Stokes Equation, Physical boundary conditions, Forms of governing equation suited to CFD Unit III: 6 lecture hours Mathematical behavior of Partial Differential Equations: Classification of Quasi-Linear PDE, The Eigenvalue Method, Hyperbolic, parabolic & Elliptic equations Unit IV: 9 lecture hours Simple CFD Techniques: The Lax-Wendroff and MacCormack’s Technique, space marching, Relaxation Technique, aspects of numerical Dissipation and Dispersion, Artificial Viscosity, Alternating-Direction-Implicit (ADI) technique. The SIMPLE Algorithm Unit V: 9 lecture hours Application: Numerical Solution of Quasi One dimensional Nozzle flows, two dimensional supersonic flows (Prandtl-Meyer Expansion Wave), Incompressible Couette Flow (Implicit method & the pressure correction method) Text Books

1. Computational Fluid Dynamics: Jr. Anderson 2. Numerical Heat Transfer and Fluid Flow: Suhas V. Patankar 3. An introduction of computation fluid dynamics: Versteeg & Malalasekera

Reference Books

1. Computational Fluid Mechanics and Heat Transfer: Anderson, Tanehil and Pletcher 2. Computational Methods for Fluid dynamics: Ferziger and Peric

Modes of Evaluation: Quiz/Assignment/ presentation/ extempore/ Written Examination




Examination Scheme:

Components Internal Assessment

ESE

Weightage (%) 50 50

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

PO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PSO1 PSO2 CO1 2 0 0 2 1 0 0 0 0 0 0 0 0

CO2 3 2 3 0 3 0 0 0 0 0 0 1 1

CO3 3 2 0 0 3 0 0 0 0 0 0 1 1

CO4 3 0 0 0 3 0 0 0 0 0 0 2 2

CO5 0 0 0 0 3 0 0 0 0 0 0 3 2

Average 2.75 2 3 2 2.6 0 0 0 0 0 0 1.75 1.5

1=Weakly mapped 2= Moderately mapped 3=Strongly mappe




Course Objectives

1. To give fundamental knowledge of fluid, its properties and behaviour under various conditions of internal and external flows.

2. To introduce and explain fundamentals of Fluid Dynamics, which is used in the applications of Aerodynamics, Hydraulics, Marine Engineering, Gas dynamics etc.

3. To develop understanding of governing equations like mass, momentum, energy equation Naiver Stokes Equations in fluid flow.

4. To practice in the analytical formulation of fluid problems using Newton’s Laws of motion and thermodynamics

5. Develop an appreciation for the properties of Newtonian fluids, study analytical solutions to variety of simplified problems

Course Outcomes On completion of this course, the students will be able to CO1. Illustrate governing equations for various applications CO2. Identify, formulate and solve the fluid dynamics problems using Boundary conditions CO3. Apply fluid dynamics principles in Internal flows as well as External Flows CO4. Analyze various problems involving fluid properties and shear forces resulting from Newtonian

fluids CO5. Evaluate fluid systems using the integral form of the continuity, momentum, and energy equation

Catalog Description Fluid flows are important in many scientific and technological problems including Aerospace Engineering, automotive design, atmospheric and oceanic circulation, renewable energy generation, energy production by chemical or nuclear combustion in engines and stars, energy utilization in vehicles, buildings and industrial processes, and biological processes such as the flow of blood. The highly multidisciplinary nature of the subject can be gauged from the fact that it is taught across multiple disciplines. The current course covers the fundamental background in dynamics of fluids, with a special emphasis on applications of fluid dynamics, as relevant to engineering sciences. The course begins with a description of different fluid properties and covers the basic conservation laws of mass, momentum and energy. The students will learn the fundamental laws of fluid dynamics and then apply it to two distinct type of flows commonly found in real life: internal flows and external flows. The students will thus get an adequate exposure to internal flows such as pipe flows in industry, or external flows viz. flow over an aircraft wing. The student will also learn the art of engineering approximations, and the fundamental concepts of dimensional analysis, similitude and experimentation, that are involved in translating a novel idea to a real-world application. Further, being a rigorous course on problem-solving, it will acquaint students with engineering problem-solving approaches and the effective use of commercial software packages to answer engineering questions.

ASEG 7002 Introudction to Fluid Dynamis L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Physics, Mathematics, Thermodynamics, Fluid Mechanics

Co-requisites Basics of Fluid Mechanics




Course Content

Unit I: 9 lecture hours Introduction to Fluids: Basics of Fluid Dynamics, Euler Equations, Bernoulli Equation, Conservation of

Mass, Momentum and Energy as pertaining to fluids

Unit II: 9 lecture hours Governing Equations: Compressible, Incompressible and Viscous flow analysis, Boundary Layers,

Reynolds Numbers, Prandtl Number, no slip condition, Hydrodynamic Instabilities, Dynamic Flow of

Fluid

Unit III: 9 lecture hours Kinematics: The conservation of laws and kinetics of flow, Mass conservation using control volume,

stokes law of friction, Thermodynamic aspects of pressure and viscosity, closer problem, kinematics of

deformation vortex tube

Unit IV: 9 lecture hours Approximate Solutions: The Navier Stokes Equations, in viscid Incompressible flow, In viscid

compressible flow, Laminar viscous flow, exact solutions, Boundary Layers, Navier Stokes Formulation,

Stability Theorem and Statistical of Description of Turbulence

Text Books

1. Batchelor, G.K. Introduction to Fluid Dynamics, Cambridge University, Press 1967

2. Robert W.Fox, Alan T.Mcdonald, Philip J Pritchard, “ Fluid Mechanics”, Wiley International

Student Edition, 8th Edition, 2011

3. Frank White, “ Fluid Mechanics”, Mcgraw-Hill Education, 7th Edition, 2011

4. Yunus Cengel, John Cimbala, “ Fluid Mechanics”, McGraw- Hill Education ,2nd edition, 2010

Reference Books 1. Landau and Lifshitz, Fluid Mechanis (2nd Ed.), Pergamon Press 1987.

2. Milne-Thomson, L.M. Theoretical Hydrodynamics, McMillan (5th Ed.)

3. Lighthill, M.J. An Informal Introduction to Theoretical Fluid Mechanics,




Clarendon Press 1986.

4. Prandtl, L. Essentials of Fluid Dynamics, Hafner 1952.

5. Lamb, Hydrodynamics (6th Ed.), Cambridge University Press 1932

6. Courant and Freidrichs, Supersonic Flow and Shock Waves, Interscience1948.

7. Meyer, An Introduction to Mathematical Fluids Dynamics, Dover 1971.

8. D. J. Acheson, Elementary Fluid Dynamics, Clarendon 1990.

Modes of Evaluation: Quiz/Assignment/ presentation/ extempore/ Written Examination/ Examination Scheme:


MSE ESE

Weightage (%) 50 NIL 50


PO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PSO1 PSO2 CO1 2 3 3 1 0 0 0 0 0 1 0 3 1

CO2 2 2 3 1 0 0 0 0 0 1 0 3 2

CO3 3 3 3 3 0 0 0 0 0 1 0 3 3

CO4 1 3 3 3 0 0 0 0 0 1 0 3 3

CO5 2 3 3 1 1 0 0 0 1 1 0 3 2

Average 2 2.8 3 1.8 1 0 0 0 1 1 0 3 2.2

1=Weakly mapped 2= Moderately mapped 3=Strongly mapped




Course Objectives

1. To Introduce a basic study of the phenomena of heat and mass transfer 2. To develop methodologies for solving a wide variety of practical Heat and Mass Transfer problems 3. Account for the consequence of heat transfer in thermal analyses of engineering systems. 4. Analyze problems involving steady state heat conduction in simple geometries. 5. Develop solutions for transient heat conduction in simple geometries. 6. Obtain numerical solutions for conduction and radiation heat transfer problems Course Outcomes On completion of this course, the students will be able to CO1. Ability to understand and solve conduction, convection and radiation problems CO2. Ability to design and analyze the performance of heat exchangers and evaporators CO3. Ability to do heat, mass and momentum transfer analysis. CO4. Ability to analyze industrial problems along with appropriate boundary conditions CO5. Ability to develop steady and time dependent solutions along with their limitations.

Catalog Description To understand the fundamentals of heat transfer mechanisms in fluids and solids and their applications in various heat transfer equipment in process industries. Numerical Heat Transfer and Fluid Flow primarily uses elementary calculus and simple algebra in exploring and developing numerical procedures to predict the behavior of various processes. This is mainly based on physical considerations. The approach is tailored to help augment a deeper understanding of all the crucial aspects of heat transfer and fluid flow. A knowledge-based design problem requiring the formulations of solid conduction and fluid convection and the technique of numerical computation progressively elucidated in different chapters will be assigned and studied in detail Course Content

Unit I: 9 lecture hours Introduction to Heat Transfer: Different types of heat transfer, heat conduction equation, Steady- State Heat conduction, Transient Heat Conduction, Numerical Solutions to heat Conduction Problems. Unit II: 9 lecture hours

ASEG 7003 Advanced Heat and Mass Transfer L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Physics, Mathematics, Thermodynamics, Heat Transfer, Mass

Transfer





Governing Equations: Differential Equations of heat convection, Similarity solutions for flat plate (Blasius solution), Boundary layer approximations, heat transfer in the combined entrance region, Integral method for internal flows with different wall boundary conditions, Natural convection, Forced Convection, Heat Exchangers Unit III: 9 lecture hours Mass Transfer: Analogy between heat and mass transfer, mass diffusion, Fick’s law of diffusion, boundary conditions, steady mass diffusion through a wall, transient mass diffusion, mass convection, limitations of heat and mass transfer analogy. Dimensionless parameters, boiling modes, correlations, Forced convection boiling, laminar film condensation on a vertical plate, turbulent film condensation Unit IV: 9 lecture hours Thermal Radiation: Emission of radiation, emissive power, Spectral intensity, Diffuse radiation, Lambert’s cosine Law, hemispherical spectral emissive power and total intensity, Irradiation, Absorption of radiation, Reflection of Radiation, Kirchhoff’s law. Text Books

1. Fundamentals of Heat and Mass Transfer, 7th Edition by F.P. Incropera and D. Dewitt, John Wiley, 2011.

2. Holman J. P., "Heat Transfer", Mc Graw-Hill, 9th. Ed., 2002 3. Chapman, A.J. "Heat Transfer", 4th edn. Maxwell Macmillan International Edition, 1984. 4. Boundary Layer Theory, 8th Edition by H. Schlichting and K. Gersten, Springer-Verlag, 2000.

Reference Books

1. Convective Heat and Mass Transfer, 4th Edition by W. Kays, M. Crawford and B. Weigand, McGraw Hill International, 2005.

2. Convective Heat Transfer, 2nd Edition by S. Kakac and Y. Yener, CRC Press, 1995. 3. Convection Heat Transfer, 3rd Edition by A. Bejan, John Wiley, 2004 4. Numerical Heat Transfer and Fluid Flow by Suhas V Patankar, CRC Press 2017



MSE ESE






PO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PSO1 PSO2

CO1 3 3 3 1 0 0 0 0 1 1 0 3 1

CO2 2 3 3 3 0 0 0 0 1 1 0 3 2

CO3 3 2 3 2 1 0 0 0 1 1 0 3 1

CO4 2 3 3 3 1 0 0 0 1 1 0 3 2

CO5 2 3 3 3 1 0 0 0 1 1 0 3 3

Average 2.4 2.8 3 2.4 1 0 0 0 1 1 0 3 1.8





Course Objectives

1. To prepare the student for engineering analysis and design of high-speed flow systems, 2. By providing a foundation in compressible fluid mechanics 3. Introducing numerical techniques for treatment of practical applications.

Course Outcomes On completion of this course, the students will be able to CO1. Understand the basic equations of compressible flows, including flows with supersonic expansions

and the shock waves to calculate flow variables for various internal and external flow configurations

CO2. Apply conservation laws to various models of fluid in order to derive governing equation of

compressible flows.

CO3. Demonstrate compressible flow theories in the preliminary design of supersonic nozzles, diffusers,

wind tunnels and other compressible flow devices by using quasi-one dimensional.

CO4. Analyze and perform appropriate calculations for supersonic and subsonic flows with friction or

heat addition.

CO5. Evaluate preliminary numerical schemes for solving governing equations of compressible flows

numerically.

Catalog Description In the modern world of aerospace and mechanical engineering, an understanding of the principles of compressible flows is essential. Compressible Flow is a branch of fluid mechanics that deals with the physics of high speed flows. Modern high-speed airplanes and the jet engines that power them are wonderful examples of the application of compressible flows. The principles of compressible flow dictate the external aerodynamic flow over an airplane and internal flow through gas turbine engines and flow through rocket nozzles. The course is designed so that the students discover the intellectual beauty and powerful applications of compressible flows. Students will be able to appreciate why modern airplanes are shaped the way they are, and to marvel at the wonderfully complex and interesting flow through jet engines. Besides these, students will learn the fundamental physical and mathematical aspects of compressible flows, which can be applied to any flow situation where the flow speed exceeds that of

ASEG7004 Compressible Flow L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Basic knowledge of Fluid Mechanics

Co-requisites --




about 0.3 times the speed of sound. The course also enable students to solve simple compressible flow systems using numerical techniques through the application of computational fluid dynamics. Course Content

Unit I: 06 lecture hours Introduction to Compressible Flows: Flow regimes, Compressibility, Thermodynamic concepts, Conservation equations, continuity, momentum and energy conservation, Entropy equation, Crocco’s Theorem, Stagnation state Unit II: 12 lecture hours One-dimensional Flow: Governing equations for 1D flows, Normal shock relations, Moving normal shocks, Hugoniot Equations, One dimensional flow with heat addition, One dimensional flow with friction, Governing equations for quasi-1D flow, Area-Velocity relation, Nozzle, Diffusers Unit III: 08 lecture hours Oblique Shock and Expansion Waves: Oblique shock concept, Oblique Shock relations, Property variations, Detached Shocks, Shock Reflections, Shock-Shock Interactions, Expansion wave, Shock-expansion theory, Prandtl Meyer Function, Smooth expansions / compressions. Unit IV: 10 lecture hours Numerical Techniques for Compressible Flows: The Riemann Problem, Riemann Problem for the Euler Equations , Method of characteristics, Upwind and adaptive Stencils , Artificial Viscosity, Linear Stability Analysis, Lax-Wendroff Method, First-Order Upwind Methods, Godunov Schemes, TVD Schemes, Numerical Techniques for steady supersonic flows, time marching technique. Text Books

1. John D Anderson, Jr., Modern Compressible Flow, 3rd Edition, McGraw Hill, 2012.

Reference Books

1. C. B. LANEY, Computational Gas dynamics, Cambridge University Press, 1998. 2. E. Rathakrishnan, Gas Dynamics, Prentice Hall India, 2002.

Modes of Evaluation: Quiz/Assignment/ presentation/ extempore/ Written Examination Examination Scheme:


MSE ESE

Weightage (%) 50 00 50






CO1 3 2 3 3 - - - - - - - 3 - CO2 2 2 2 2 2 - - - - - - - - CO3 3 3 2 2 - - - - - - - - - CO4 2 2 2 2 - - - - - - - - - CO5 3 3 - 2 - - - - - - - - - Average

2.6 2.4 2.25 2.2 2 0 0 0 0 0 0 3 0





Course Objectives

1. To present the fundamentals of Computational Fluid Dynamics (CFD) so that students become knowledgeable users of CFD software.

2. To develop a conceptual understanding of numerical methods in terms of the accuracy, stability, convergence, and other properties of several numerical techniques, amongst the students.

3. To develop an understanding of the applicability and limitations of CFD as a modern design tool amongst students.

4. To introduce the student to widely used finite difference and finite volume techniques in the numerical solution of aerodynamic problems, issues that arise in the solution of such equations, and modern trends in CFD.

5. To enable students with the basic ability to solve and analyze practical fluid mechanics problems drawn from aerospace engineering applications using finite difference and finite volume methods.

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

CO1 Understand both flow physics and mathematical properties of governing Navier-Stokes equations and define proper boundary conditions for solution CO2. Summarize the basic theory behind the approximations used in the finite difference and finite volume methods. CO3. Apply knowledge of math and science to engineering by describing continuous fluid-flow phenomena in a discrete numerical sense. CO4. Analyze numerical methods to model differential equations in formulating a numerical solution method for that problem, and using computational tools. CO5.Evaluate the stability, accuracy and convergence of various explicit and implicit numerical techniques for solving fluid flow problems using finite difference and finite volume methods.

Catalog Description The Computational Fluid Dynamics (CFD) is a modern tool based numerical solution of equation for fundamental laws for fluid flows. The governing partial differential equations for the conservation of mass, momentum and energy can be solved numerically using high speed digital computers to gain meaning insights into flow behavior as well as heat and mass transfer rates. Besides aerospace engineering, CFD can be used a research and design tool in all fields of engineering involving fluid flow of some kind including flow over spacecrafts to flow inside our arteries. Finite difference and Finite

ASEG 7005 Finite Difference and Finite Volume Methods Analysis

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Basic knowledge of Fluid Mechanics, Numerical Methods and

Computer Programming

Co-requisites --




Volume Methods are classical techniques for discretization of the governing equations of fluid flows. This course introduces the numerical computation of continuum fluid flows in engineering applications using finite difference and finite volume methods. The primary focus of the course is on the teaching of numerical methods for the solution of the nonlinear continuum governing fluid equations using finite difference and finite volume methods. Emphasis is placed on analysis of various finite difference and finite volume numerical formulations for Iterative and temporal solution of governing equations. The students will get hands-on experience with these methods by programming the algorithms and analyzing the physical aspects of the numerical solution. The course provides information that will enable a more sound understanding of black-box commercial software, that are mostly based on finite volume techniques. In addition, it will provide a first step into the large and expanding research area of general computational physics. Course Content

Unit I: 07 lecture hours Introduction: Governing Equations of Fluid Dynamics, Models of flow, Substantial Derivative, Divergence of Velocity, Continuity Equations, Momentum Equations, Energy Equation; Boundary Conditions; Mathematical behaviour of partial differential equations, Classification of quasi-linear system of equations, Eigenvalue method. Unit II: 10 lecture hours Finite difference discretization: Basic aspects of discretization, finite difference method, difference equations, Polynomial Approach; Explicit and Implicit schemes, stability analysis; Grid transformations, transformation of equations, metrics and Jacobian; stretched grids, body fitted coordinate system, adaptive grids Unit III: 05 lecture hours Basic Computational Techniques: Lax-Wendroff Technique, MacCormack’ s Technique, Space Marching, Relaxation Technique, Gauss-Seidel Method; Numerical Dissipation, Dispersion, Artificial Viscosity ; Alternating direction implicit method. Unit IV: 05 lecture hours Basics of Finite Volume Methods Finite volume discretization, Approximation of Surface Integrals, Approximation of Volume Integrals, Interpolation schemes, Upwind Interpolation, Linear Interpolation, Quadratic Upwind Interpolation, Higher-Order Schemes.

Unit V: 08 lecture hours Applications of Finite Volume Methods: One-dimensional steady state diffusion, two-dimensional diffusion problems; Steady one-dimensional convection and diffusion, Assessment of the central differencing scheme for convection-diffusion problems; hybrid differencing scheme, power-law scheme, pressure correction technique, staggered grids, SIMPLE algorithm, SIMPLER, SIMPLEC; TDMA algorithm.




Text Books

1. John D Anderson, Jr., Computational Fluid Dynamics -The Basics with Applications, McGraw Hill, 1995. 2. H. K. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics - The

Finite Volume Method, Longman Scientific and Technical, 1995.

Reference Books 1. Joel H. Ferziger and Milovan Peric, Computational Method for Fluid Dynamics, 3rd Edition,

Springer, 2002. 2. Dale A. Anderson, John C. Tannehill and Richard H. Pletcher, Computational Fluid Mechanics

and Heat Transfer, 2nd Edition, Taylor and Francis, 1984.



MSE ESE


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

Program Specific Outcomes (PSOs) and Course Outcomes (COs)


CO1 2 2 2 2 - - - - - - - 3 2 CO2 3 3 2 - 3 - - - - - - 2 2 CO3 3 - - - - - - - - - - 3 3 CO4 2 2 3 2 2 - - - - - - 2 2 CO5 3 2 3 2 2 - - - - - - 3 2 Average

2.6 2.25 2.5 2 2.33 0 0 0 0 0 0 2.6 2.2





Course Objectives

1. To provide the fundamental concepts of the theory of the finite element method 2. To develop proficiency in the application of the finite element method (modelling, analysis, and

interpretation of results) to realistic engineering problems through the use of a major commercial general-purpose finite element code.

3. To introduce basic aspects of finite element technology, including domain discretization, polynomial interpolation, application of boundary conditions, assembly of global arrays, and solution of the resulting algebraic systems

Course Outcomes On completion of this course, the students will be able to CO1. Understand the concept of Numerical Methods and the importance of various boundary conditions. CO2. Apply and analyze different Finite Difference Methods to solve linear problems. CO3. Make use of different Finite Difference Methods to solve incompressible problems. CO4. Analyze compressible fluid flows using Finite Difference Methods CO5. Derive the formulations of Finite Difference Method applied to Multi-Dimensional with High Order Accuracy CO6. Formulate Finite Volume concepts for various practical industrial problems. Catalog Description Finite element methods for elliptic problems including: weak solutions, multidimensional interpolation, Bramble ‐Hilbert lemma and error analysis, multidimensional quadrature, multigrid and domain decomposition methods, preconditioning, saddle point problems, LBB condition and mixed methods. Boundary element methods for elliptic problems including: jump conditions, error analysis, quadrature methods for singular integrals and Fast Multipole Method for Laplace's equation. Coupling between boundary elements and finite element methods. Discontinuous Galerkin methods for elliptic and hyperbolic problems. Applications selected by the instructor.

ASEG7006 Finite Element & Boundary Element Analysis

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Conceptual knowledge in systems of structural and fluid analysis.

Basic understanding of numerical methods (FDM, FEM & FVM). Strong mathematical grasp of varitional formulation of functions and governing equations of general systems.

Co-requisites --




Course Content

Unit I: 4 lecture hours Preliminaries: General Introduction, Historical Background, One-Dimensional Computations by FDM, FEM and FVM. Boundary Conditions: Neumann Boundary Conditions, Dirichlet Boundary Conditions, Examples. Finite Element Formulations, Definitions of Errors. Unit II: 6 lecture hours Finite Element Interpolation Functions: One-Dimensional Elements (Conventional, Lagrange Polynomial, Hermite Polynomial), Two-Dimensional Elements (Triangular, Rectangular, Quadrilateral Isoparametric), Three-Dimensional (Tetrahedral, Triangular Prism, Hexahedral Isoparametric), Axisymmetric Ring, Lagrane & Hermite Families, and Convergence Criteria Unit III: 6 lecture hours Linear Problems: Steady-State Problem, Standard Galerkin Methods (Stokes Flow Problem), Transient Problems, Generalized Galerkin Methods (Axisymmetric Transient Heat Conduction), Solutions of Finite Element Equations, Conjugate Gradient Methods (CGM), Element-by-Element (EBE), Example Problems. Unit IV: 7 lecture hours Nonlinear Problems: Convection dominated problems (Incompressible & Compressible), Generalized Galerkin Methods & Taylor-Galerkin Methods, Linearized Burgers’ Equations, Numerical Diffusion Test Functions, Stability & Accuracy, Discontinuity-Capturing Scheme, Generalized Petro-Galerkin (GPG) Methods, Space-Time Galerkin/ Least Squares Methods, Newton-Raphson Methods, Generalized Minimal Residual Algorithm, Example Problems. Unit V: 7 lecture hours Incompressible Viscous Flows: Primitive Variable Methods (Mixed, Penalty, Pressure Correction, Operator Splitting, Semi-Implicit Pressure Correction), Vortex Methods (Three & Two-Dimensional Analysis, Physical Instability), Example Problems. Compressible Viscous Flows: Governing Equations, Taylor-Galerkin, Generalized Galerkin &Generalized Petro-Galerkin Methods (Navier-Stokes System) Discontinuous Galerkin Methods, Flowfield-Dependent Variation Methods, Example Problems. Unit VI: 6 lecture hours Weighted Residual Methods: Spectral Element Methods (Spectral Functions, Spectral Element Formulation by Legendre Polynomials), Least Squares Method (LSM Formulation, FDV-LSM Formulations, and Optimal Control Method), and Finite Point Method (FPM), Example Problems. Text Books

1. An Introduction to the Finite Element Method, J. N. Reddy; McGraw Hill Education.




Reference Books

1. Textbook of Finite Element Analysis; P. Seshu; PHI Learning Private LTD.

2. Computational Fluid Dynamics, T. J. Chung; Cambridge University Press



ESE

Weightage (%) 50 50



CO1 2 0 0 2 1 0 0 1 0 0 0 0 0

CO2 3 0 3 0 3 0 0 0 0 0 0 2 0

CO3 3 0 0 0 3 0 0 0 0 0 0 2 0

CO4 3 0 0 2 3 0 0 0 0 0 2 1 0

CO5 3 3 2 0 3 0 0 2 0 0 2 1 2

Average 2.8 3 2.5 2 2.6 0 0 1.5 0 0 2 1.5 2





Course Objectives:

Application of Gambit, Fluent and ANSYS for fundamental CFD Problems; CFD modeling for Laminar

Pipe Flow, Turbulent Pipe Flow, Supersonic Flow over a Wedge, Venturimeter Analysis. Compressible

Flow in a Nozzle, Airfoil Analysis, Compressible Flow over a Flat Plate, 3d Pipe Intersection, Geometry

Cleanup in a Sedan.

ASEG 7101 CFD LAB L T P C

Version 2.0 0 0 2 1 Pre-requisites/Exposure Conceptual knowledge in Fluid Dynamics

Co-requisites --







Course Objectives

1. To develop skills in design of various engineering components using a design software. 2. To enable students to understand the importance of efficient grid to obtain maximum

accuracy of any numerical scheme. 3. To gain the mathematical concepts underlying various grid generation techniques such as

structured, unstructured, adaptive grids etc. Course Outcomes On completion of this course, the students will be able to CO1. Understand the Mathematical application used in CFD tools and techniques for effective designs of structured grid. CO2. Apply modeling techniques to all the fluid dynamics, solid dynamics problems with respect to Multi-Disciplinary Industry. CO3. Classify various computational methods for grid generation and its importance of efficient grid. CO4. Formulate unstructured grid using various methods by considering different boundary conditions Catalog Description The course focuses on learning the different geometrical approaches to a problem and to apply modeling techniques to all the fluid dynamics, solid dynamics problems with respect to Multi-Disciplinary Industry. Different techniques for modeling structured and unstructured grids are explained along with the technical difficulties in generating grid and the importance of efficient grid generation over other computational methods. The course also provides the understanding of Mathematical application used in CFD tools and techniques for effective designs of structured grid and formulation for unstructured grid method considering variations in boundary conditions Course Content

ASEG7011 Geometric Modeling & Grid Generation Techniques

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Knowledge of designing software Catia, Solidworks or AutoCad .

Basic understanding of numerical methods. Strong mathematical grasp of Varitional formulation of functions and governing equations of general systems

Co-requisites --




Unit I: 6 lecture hours GEOMETRIC MODELING: Geometry definition (simple shapes, CAD import), vertices, curves, surfaces, volume, Manifold and Non-manifold Geometry, Real, Virtual and Faceted Geometry, Bottom-up and Top-bottom approach, Boolean Operation, Blend, scaling, alignments, clean-up. Unit II: 7 lecture hours GRID GENERATION TECHNIQUES: Structured & unstructured grids. Mapping, Advancing front, Octree/Quadtree, paving, coopering/sweeping, edges, faces & volumes, sizing function, clustering points, grid quality, mesh improvement/smoothing. Unit III: 7 lecture hours STRUCTURED GRIDS: Algebraic mesh generation, Transfinite Interpolation, Application of linear TFI, Structured meshes from Partial Differential Equations, elliptic boundary fitted grid, hyperbolic boundary grid. Unit IV: 6 lecture hours UNSTRUCTURED GRIDS: Automatic generation of Unstructured Mesh, Multi-block Mesh Generation, Unstructured grid by Delaunay Triangulation. Text Books

1. Handbook of grid generation. Thompson, Soni, Weatherill, CRC Press

2. Computational Fluid Dynamics: Jr. Anderson

Reference Books

1. Numerical Grid Generation: Foundation & Applications. Thompson, Warsi, Mastin. North

Holland Press



ESE

Weightage (%) 50 50






CO1 2 0 0 2 1 0 0 1 0 0 0 3 1

CO2 3 0 3 0 3 0 0 0 0 0 0 0 1

CO3 3 0 0 0 3 0 0 0 0 0 0 2 1

CO4 3 0 0 0 3 0 0 0 0 0 0 2 2

Average 2.75 0 3 2 2.5 0 0 1 0 0 0 2.33 1.25 1=Weakly mapped 2= Moderately mapped 3=Strongly mapped




Course Objectives

1. To review the governing equations of fluid mechanics and heat transfer for laminar flows 2. To teach numerical solution of governing equations of laminar flows 3. To teach the use of commercial computational fluid dynamics packages 4. To present the basics of turbulence phenomenology and modeling 5. To provide exposure to modern computational techniques in turbulence 6. To present a variety of applications of engineering problems related to laminar and turbulent

flows.

Course Outcomes On completion of this course, the students will be able to CO1. Understand and categorize fluid problems based on their flow characteristics CO2. Determine the origin, evolution and the effect of turbulence in fluid flows CO3. Formulate the underlying mathematics to evaluate and predict turbulence CO4. Compare and create appropriate model of turbulence in industrial based problems Catalog Description This course mainly concentrates on the introducing the concept of laminar flow and its industrial application for practical purpose and to appreciate the historic perspective and complexity of turbulence flow. The origin of turbulent flow is analyzed and the available hypothesis is applied to understand some simple turbulent flows. Various turbulence modeling considering variations in boundary conditions are covered along with the numerical simulation techniques in solving different types of equations for turbulent flow.

Course Content

ASEG7012 Laminar and Turbulent Flows L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Conceptual knowledge of fluid analysis in viscous flows.

Strong mathematical grasp of calculus and governing equations of general systems

Co-requisites --




Unit I: 6 lecture hours Introduction to Laminar Flow: Critical Reynolds Number, Shear-Driven Laminar Flow, Couette Flow, Laminar PDF through Tube, Laminar PDF through Gap, Irrotational Flow, Centrifugal-Force Driven Flow, Effects in Laminar Flows Unit II: 7 lecture hours Introduction and Origin of Turbulence: Properties of turbulent flow. Boundary Layer: Boundary Layer, Growth rate of Boundary layer for Laminar and Turbulent Flows. Characteristics of Turbulent Flow: The Origin of Turbulence, Nature of Turbulence, Swirling Structure, Mean Motion and Fluctuations, Consequences of Turbulence, Homogeneous-Isotropic Turbulence. Unit III: 7 lecture hours Correlation Functions and Intensity: Correlation Functions, Ideas about eddy size, Intensity of Turbulence or Degree of Turbulence. Kolmogorov Hypothesis and Energy Cascade: Kolmogorov Universal Law for the Fine Structure, Energy Cascade, Kolmogorov Length Scale, Kolmogorov's First Hypothesis, Kolmogorov's Second Hypothesis. Unit IV: 6 lecture hours Reynolds' Averaged Navier-Stokes Equations: Universal velocity distribution, Laws of Averaging, Reynolds' Decomposition, Examples of Turbulent Fluctuations, Some Measurements on Fluctuating Components. Turbulent Boundary Layer Equations: Turbulent Boundary Layer Equations for a two-dimensional flow. Classical Idealisation of Turbulent Stresses: Introduction, The Boussinesq or eddy viscosity model, Eddy viscosity. Unit V: 5 lecture hours RANS Equations and Eddy Viscosity: Introduction Reynolds Averaged Navier-Stokes (RANS) Equations, Eddy Viscosity Models, Zero-Equation Models. One-Equation Model: Baldwin-Barth, Spalart-Allmaras Two Equation Models: k - ω Model, SST (Shear Stress Transport) Turbulence Model. SST Model, Discussion on Applicability Low Reynolds number k - ε model: Special Features of near Wall Flow, Near Wall Treatment in Transport Equation based Models, Wall Function Approach Mathematical Modeling of Turbulent Flows: The Realizable k - ε Model, Reynolds Stress Models (RSM), Large Eddy Simulation (LES). Mathematical Modeling of Turbulent Flows: The Filtered Navier-Stokes Equations, Subgrid-Scale Closure, Standard Subgrid-Scale Model. Text Books




1. P.K. Kundu and I.M. Cohen, 2002, Fluid Mechanics, Academic Press (An Imprint of Elsevier Science, USA.

2. S.B. Pope, Turbulent Flows, 2000, Cambridge University Press, UK. 3. Biswas and V. Eswaran, 2002, Turbulent Flows: Fundamentals, Experiments and Modeling,

Narosa Publishing House, New Delhi, India. 4. Tennekes and J.L. Lumley, 1987, A First Course in Turbulence, The MIT Press, Cambridge,

Massachusetts, and London, England.

Reference Books 1. Cengel and Cimbala's Fluid Mechanics Fundamentals and Applications, McGraw Hill Publishing

Company, New Delhi 2. Douglas, J. F.; Gasiorek, J. M. and Swaffield, J. A. Fluid Mechanics, Pearson Education 3. Fox, R. W., McDonald, A. T., & Pritchard, P. J. (1998). Introduction to fluid mechanics (Vol. 5).

New York: John Wiley & Sons. 4. F. M. White, Fluid Mechanics, McGraw-Hill, 3rd ed., 1993.

Modes of Evaluation: Quiz/Assignment/ presentation/ extempore/ Written Examination

Examination Scheme:


ESE

Weightage (%) 50 50




CO1 2 0 0 2 1 0 0 1 0 0 0 3 0

CO2 3 0 3 0 3 0 0 0 0 0 0 1 0

CO3 3 0 0 0 3 0 0 0 0 0 0 2 0

CO4 3 0 0 0 3 0 0 0 0 0 0 1 2

CO5 3 0 0 2 3 0 0 0 0 0 2 1 2

Average 2.8 0 3 2 2.6 0 0 1 0 0 2 1.6 2 1=Weakly mapped 2= Moderately mapped 3=Strongly mapped




Course Objectives

1. Develop an understanding of Combustion modeling verity of engineering applications

2. Establish fundamental Understanding on developing various mathematical models using governing equations to interpret physics of Combustion

3. Numerical methods for solving Flames More Likely Diffusion flames & Premixed Flames

4. Chemical Reaction and Species equation modeling to establish flow models

Course Outcomes On completion of this course, the students will be able to CO1. Classify various fuels and oxidizers to get characterization CO2. Apply Thermodynamics principles to the combustible mixture CO3. Analyze chemical equilibrium composition and Chemical Kinetics CO4. Examine Premixed and diffusion flame principles for combustion devices CO5. Anticipate reaction zone variations using computational models Catalog Description The study of rapid energy and mass transfer usually through the common physical phenomena of flame oxidation. It covers the physics and chemistry of this process and the engineering applications―from the generation of power such as the internal combustion automobile engine to the gas turbine engine. Renewed concerns about energy efficiency and fuel costs, along with continued concerns over toxic and particulate emissions have kept the interest in this vital area of engineering high and brought about new developments in both fundamental knowledge of flame and combustion physics as well as new technologies for flame and fuel control.

Course Content

Unit I: 6 lecture hours Introduction to combustion: Applications of combustion, Types of fuel and oxidizers, Characterization of fuel, Various combustion mode, Scope of combustion. Unit II: 8 lecture hours

MCFD 7013 Reaction Fronts and Combustion Analaysis

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Physics, Mathematics, Thermodynamics, Heat Transfer, CFD





Thermodynamics of Combustion: Thermodynamics properties, Laws of thermodynamics, Stoichiometry, Thermo-chemistry, adiabatic temperature, chemical equilibrium. Basic Reaction Kinetics, Elementary reactions, Chain reactions Unit III: 6 lecture hours Governing Equations: Fundamental laws of transport phenomena, Conservations Equations, Transport in Turbulent Flow Atmosphere, Chemical Emission from combustion, Quantification of emission, Emission control method Unit IV: 8 lecture hours Premixed Flames: One dimensional combustion wave, Laminar premixed flame, Burnings velocity measurement methods, Effects of chemical and physical variables on Burning velocity, Flame extinction, Ignition, Flame stabilizations, Turbulent Premixed flame. Unit V: 8 lecture hours Diffusion Flames: Gaseous Jet diffusion flame, Liquid fuel combustion, Atomization, Spray Combustion, Solid fuel combustion. Atmosphere, Chemical Emission from combustion, Quantification of emission, Emission control methods Text Books

1. D. P Mishra, “ Fundamentals of Combustion”, PHI Publications, 2013 2. Samir Sarkar, “Fuels and Combustion”, Universities Press, 2009 3. Damkohler, G,. The Effect of Turbulence on the Flame Velocity in Gas Mixtures, NACA TM

1112, 1947

Reference Books

1. H S Mukunda, Understanding of Combustion, Macmillan, New Delhi, 1989 2. Keating E. L, Applied Combustion, Marcel Dekker, New Yark, 1993 3. Penner, S. S, Chemistry Problems in Jet Propulsion, Pergamon Press, New York, 1957 4. Kuo, K.K., Principles of Combustion, John Wily & Sons, Singapore, 1986. 5. William, F.A., Combustion Theory, 2nd ed., Addision-Wesley Publishing Co., Redwood City,

CA, 1985. 6. Strehlow, R. A., Combustion Fundamentals, McGraw-Hill, New York, 1985 7. Lewis, B and Von Elebe, G, Combustion Flames and Explosions of Gases 3rd ed., Academic

Press, Orlando, 1987 8. Glassman, I, Combustion, 3rd ed., Academic Press, New York, 1996






MSE ESE





CO1 2 3 1 1 - - - - - - - 3 1

CO2 2 2 3 1 - - - - - - - 3 -

CO3 3 3 3 2 2 1 - 1 - - - 2 2

CO4 2 3 3 3 1 2 - - - - - 3 -

CO5 3 3 3 3 3 3 - 1 - - - 2 3

AVG 2.4 2.8 2.6 2 2 2 - 1 2.6 2





Course Objectives

1. Develop an understanding of Multiphase fluid dynamics for modeling verity of engineering applications 2. Establish fundamental Understanding on developing various mathematical models using governing equations to interpret physics of flows 3. Numerical methods for solving multiphase flow equations to investigate flow 4. Identification of complexities in bubble growth, Particle tracing and dispersed phase Models and its

solution methods based on higher order relaxation schemes Course Outcomes On completion of this course, the students will be able to CO1. Classify and exploit fluids based on the physical properties of a multiphase flows CO2. Apply conservation principles to multiphase/ Multicomponent flows CO3. Illustrate various models for Particle, Bubble, and Droplets in the flow fields CO4. Select Various Multiphase flow Models for industrial applications CO5. Formulate different computational Models for two-phase flows

Catalog Description The course focusses on fundamental physics of two-phase flow, the detailed theoretical foundation of multi-phase flow thermo-fluid dynamics as they apply to: Nuclear reactor transient and accident analysis; Energy systems; Power generation systems; Chemical reactors and process systems; Space propulsion; Transport processes. More focus will be on two-phase flow formulation and constitutive equations and CFD , which enables students to understand the use of PBM and CFD frameworks. Population balance approaches can now be used in conjunction with CFD, effectively driving more efficient and effective multiphase flow processes. Course Content

Unit I: 9 lecture hours Introduction to Multiphase flows: Flow Resigns, species Transport, Multicomponent/ Multispecies, Vertical Gas Liquid Flow, Phase Volume Fraction, Superficial and Phase Velocity, Primary and Secondary Phase, Conservation Equations for Phase, Dispersed Phase and Separated Phase, Gas-Liquid Flow, Gas- Solid Flows, Liquid Solid Flows, Three Phase Flows Unit II: 9 lecture hours Bubble Modelling: Bubble flow, slug flow, Annular Flow, Stratified Flows/Free Surface flows, Free Surface Evaporation Jet flow, Film Flow , Sprays, Fuel Injection, Droplet Breakup, Droplet Collisions

ASEG 7014 Introdcution to Multiphase Flows L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Physics, Mathematics,





Unit III: 9 lecture hours Multiphase flow Models: Boiling, Cavitation, Mass Transfer Trough Cavitation, Defogging, Euler-Lagrange Approach Evaporation, Discrete Phase model, Euler- Euler Approach, VOF, Mixture model, Eulerian Model Unit IV: 9 lecture hours Computational Methods: Computation of velocity and Pressure fields, Computation of Two Phase heat Transfer, slug and annular flow predicted by the VOF model, Level Setting methods, Particle Tracking Methods Text Books

1. Christopher E. Brennen, “Fundamentals of Multiphase Flow, Cambridge University Press, 2009 2. Computational Methods in Multiphase Flow, H. Power and C. A. Brebbia, WIT, 2001 3. Multiphase Flow and Fluidization: Continuum and Kinetic Theory Descriptions, Dimitri

Gidaspow, Academic Press, 1994 4. Wallis, G. B. (1969): One-Dimensional Two-Phase Flow. McGraw-Hill Book Co. Inc.

Reference Books

1. Daniel D. Joseph, Yuriko Y. Renardy , Fundamentals of Two Fluid Dynamics , Part I: Mathematical Theory and Applications, Springer Verlag, 1992 2

2. Dale R. Durran, Numerical Methods for Fluid Dynamics, Springer, Second Edition, 2010 3. Rainald Lohner, Applied Computational Fluid Dynamics, Second Edition, John Wiley & Sons

Ltd, 2008 4. Ansys Fluent Theory Guide, ANSYS. Inc, November 2011 5. Clayton T. Crowe, “ Multiphase Flow Handbook”, Taylor & Francis, CRC Press, 2006 6. Govier, G. W., Aziz, K. (1972): The flow of complex mixtures in pipes. R.E. Krieger Publishing

Co., Inc. Malabar, Florida. 7. M. (1975): Thermo Fluid Dynamic Theory of Two-Phase Flow. Eyralles Press, Paris, France. 8. Hetsroni, G. (1982): Handbook of Multi-phase Systems. McGraw Hill.



MSE ESE








CO1 3 3 1 1 - - - - - - - 3 -

CO2 3 3 3 1 - - - - - - - 3 3

CO3 3 3 3 2 2 1 - - - - - 3 3

CO4 3 2 1 3 2 1 - - - - - 2 1

CO5 3 3 3 3 3 1 - - - - - 3 3

AVG 3 2.8 2 2 2.3 1 - - - - - 2.8 2.5


ASEG 7015 Visualization of Advanced Fluid Flow and Flow Diagnostics

L T P C




Course Objectives

1. To provide an introduction into the use of visualization, data mining, and interactive human-computer interfaces for the analysis and interpretation of CFD simulations.

2. To provide hands-on experience using both commercial and community developed visualization packages.

Course Outcomes On completion of this course, the students will be able to CO1. Understand the usage of tools and techniques for effective visualization of fluid flows.

CO2.Apply industry-relevant tools for visualization of fluid flows.

CO3. Analyze the various critical features of fluid flow from CFD data

CO4. Evaluate Computational Fluid Dynamics data to extract meaningful insights.

Catalog Description Visualization can be a critical component in helping an engineer gain insight into the typically complex optimization problems that arise in design. Through the combination of visualisation and user interaction in computer tools, the engineer's insight can help guide the computer in the process of identifying better, more effective designs. Visualization can also be combined with automated data mining techniques to improve optimization procedures. This course starts with classification variables, numerical data, and various mapping techniques used scientific visualization. The elaborated various visualization algorithms for visualization of scalar, vector and tensor fields obtained from a CFD simulation. Finally, it enables students to visualize some CFD Simulation data, analyze, interpret the fluid flow and draw inferences using state of the art visualizations systems available commercially or in open source. Course Content

Unit I: 06 lecture hours Introduction to Visualization; Reference model for visualization; Experimental flow visualization; Optical Techniques; Addition of foreign materials; Visualization Pipeline; concept of filtering, mapping and rendering. Unit II: 10 lecture hours Visualization of Scalars: Fundamental techniques for visualizing scalar data 1D, 2D and 3D; Slicing, colour map; contouring; isosurface; Marching Square Algorithm; Marching Cube

Version 2.0 3 0 0 3 Pre-requisites/Exposure Basic knowledge of Fluid Mechanics Co-requisites --




Algorithm; Ambiguity; Volume rendering; Ray Casting; Front to Back Compositing; Back to front compositing Unit III: 10 lecture hours Visualization of Vectors and Tensors: Fundamental Techniques for vector data in 2D and 3D with special attention to visualization of fluid flow; Streamlines; path lines; Texture based Methods; Line Integral Convolution; Topology-based visualization; Critical Point; Feature Extraction; Tensor Visualization; Hyperstreamlines. Unit IV: 10 lecture hours Visualization systems and their applications: Practical use of various software: Gnuplot; FLUENT post processing; CFDPost; Tecplot; Text Books

1. The visualization handbook, Charles D. Hansen, Chris R. Johnson, Elsevier Butterworth–Heinemann, 2005.

Reference Books 1. Introduction to Scientific Visualization, Helen Wright, Springer 2007 2. The Visualization Toolkit: An Object Oriented Approach to 3D Graphics, Will Schroeder,

Ken Martin and Bill Lorensen, Prentice Hall, 1998 3. Aerodynamics, L J Clancy, John Wiley and Sons, 1975.



MSE ESE








CO1 3 2 - 2 2 - - - - - - 3 2 CO2 2 2 - 2 3 2 - - - - - - 3 CO3 - 3 - 2 3 2 - - - - - 2 2 CO4 - - - 3 2 3 - - - - - - 2 Average 2.5 2.33 - 2.25 2.5 2.33 0 0 0 0 0 2.5 2.25





Course Objectives

1. To provide an understanding of a variety of computational methods for solving linear and non-linear systems of equations.

2. To present students with the state-of-the-art CFD methods used for computing compressible and incompressible flows in science and engineering.

3. To introduce students to the principles of parallel programming on distributed memory architectures.

Course Outcomes On completion of this course, the students will be able to CO1. Understanding the principles of parallel programming on distributed memory architectures. CO2. Apply knowledge of programming and numerical techniques to solve model linear and non-linear equation using various techniques. CO3. Solve system of linear and non-linear equations using state of the art iterative algorithms. CO5. Measure the critical awareness of different state-of-the-art CFD methods as used in engineering practice for both incompressible and compressible flows. CO6. Formulate various computational algorithms for solving different type of flow problems.

Catalog Description This course builds u on the knowledge and skill acquired in the basic courses like “Introduction to CFD” and “Finite Differences and Finite Volume Analysis”. The course aims at delivering the fundamentals of computational method for solving non-linear partial differential equations (PDE) and system of linear and non-linear equations. This course will emphasize on the development of basic as well as advance Finite Difference approaches to provide numerical solutions of Partial Differential Equations, frequently arise in the field of Fluid Mechanics. This includes various iterative and non-iterative algorithms for the solution of single model equations and system of equations. This course is a theoretical course along with a small project. The project will be related to the application of finite difference method to solve non-linear system of equations arising from discretization of non-linear governing equations of fluid flow problems. Finally, the course provides the basic concepts of parallel computing on distributed and shared memory systems and accompanying algorithms. Course Content

Unit I: 08 lecture hours

ASEG 7016 Advanced Computational Techniques L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Introduction to Computational Fluid Dynamics Co-requisites --




Introduction to Basic Computational Techniques: Role of computational methods in Scientific Computing and the importance of reliability, efficiency and accuracy; review of the basic computational techniques and their application to Scientific Computing problems. Unit II: 10 lecture hours Computational Techniques for Solution of System of Linear Equations: Awareness of the state-of-the-art in Scientific Computing algorithms for the solution of nonlinear problems; awareness of typical applications for such software and practical issues associated with implementation. Efficient direct and iterative solution algorithms for large, sparse, linear equation systems. Unit III: 12 lecture hours Solution of System of Nonlinear Equations: The concept of nonlinear partial differential equations and example applications discrete systems of nonlinear equations; Numerical solution of a single nonlinear equation; Extension of the algorithms to systems of nonlinear equations and reduction to a series of linear equation systems. Unit IV: 06 lecture hours Parallel Implementation of Numerical Technique: Introduction to parallel programming with MPI; Issues of efficiency and scalability; Parallel implementation of advanced numerical methods for sparse linear systems; Application to problems from classical fluid mechanics. Text Books

1. Dale A. Anderson, John C. Tannehill and Richard H. Pletcher, Computational Fluid Mechanics and Heat Transfer, 2nd Edition, Taylor and Francis, 1984.

2. T J Chung, Computational Fluid Dynamics., Cambridge University Press, 2010.

Reference Books

1. Joel H. Ferziger and Milovan Peric, Computational Method for Fluid Dynamics, 3rd Edition, Springer, 2002.

2. S J Chapman, Fortran 90/95 for Scientists and Engineers, McGraw-Hill, 2003.



ESE

Weightage (%) 50 50






CO1 3 - 3 3 - - - - - - - 3 2 CO2 2 - 2 2 3 - - - - - - 3 2 CO3 3 - 2 3 3 - - - - - - 2 2 CO4 3 - 2 3 2 - - - - - - 3 2 CO5 3 3 2 3 2 - - - - - - 3 3 CO6 3 - 3 - - - - - - - - 2 2 Average 2.83 3 2.33 2.8 2.5 0 0 0 0 0 0 2.67 2.16





The application of various computational problems in the above mentioned course, including solving non

linear systems and engineering problems with FORTRAN and MATLAB.

ASEG 7111 Computational Techniques with MATLAB programming

L T P C

Version 2.0 0 0 6 3 Pre-requisites/Exposure Introduction to Computational Fluid Dynamics Co-requisites --




Advanced developments in various Engineering applications which are directly related to computational

Fluid Dynamics will be assigned to the students by considering their areas of interest.

SEMI 7101 SEMINAR 1 L T P C

Version 2.0 0 0 2 1 Pre-requisites/Exposure Computational Fluid Dynamics Co-requisites --







Course Objectives

1. Understand the solving techniques, meshing methods, mesh refinement, boundary definition, Y+ concepts, flow solver and result analysis.

2. Understand how to approach various industrial applications using CFD. 3. Hands on experience on many leading commercial software’s such as ANSYS ICEM,

FLUENT, CFX, COMSOL


CO1. Understand various applications and solution methods for commercial solvers. CO2. Demonstrate solution strategies to approach fluid problems using standard methods CO3. Compare various types of grids for approaching accurate solution using given physical

properties and boundary conditions. CO4. Develop solutions using various solvers and validate the results using standard solutions.

Catalog Description This Course covers Grid generation, commercial CFD software’s and their codes. Hands on experience on how to choose grids and solver methods, analyzing results, visualizing results. This course gives exposure to different kinds of industrial applications using commercial CFD software packages. Course Content Unit I: 14 lecture hours

ANSYS SOFTWARE: An introduction to several commercial CFD software codes and their applications

to the governing differential equations, solution procedures, interpretation of the results, visualization of

the results and the built in graphics will be described.

Unit II: 10 lecture hours

ASEG 8003 Commercial CFD Software Application L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Good understanding of computational techniques (finite

difference, finite element, finite volume methods) and numerical techniques.

Co-requisites --




COMSOL SOFTWARE: The course will also cover, problem set-up procedures, interface with CAD

packages, integrated graphic packages and sophisticated options, which are available in commercial

codes.

Unit III: 12 lecture hours

MESH GENERATION WITH COMMERCIAL CFD CODES: The course should cover Gambit,

FLUENT, CFX, Ansys Package as well as comsol Multyphysics to give students a taste of various

commercial CFD software applications.

Text Books

1. User Manual, Tutorial guide of FLUENT 2. User Manual of ICEM 3. ANSYS materials

Reference Books 1. Computational Fluid Dynamics : Selected Topics, R.C. Srivastava (Editor) D. Leutloff,

Springer-Verlag, 1995



ESE

Weightage (%) 50 50


PO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PSO1 PSO2 CO1 2 2 - 2 - - - - - - - 2 2 CO2 2 2 - 2 2 - - - - - - 1 3 CO3 3 2 2 3 2 - - - - - - 3 2 CO4 3 3 2 3 3 2 - - - - - 3 3 Average 2.5 2.25 2 2.5 2.33 2 0 0 0 0 0 2.25 2.5

1=weakly mapped 2= moderately mapped 3=strongly mapped




Course Objectives

1. Understand the fundamentals of High Performance Computing 2. Understand and apply concepts of High Performance Computing to Basic Applications of CFD 3. Understand and apply Concept of Nodes in Computational Efficiency 4. Understand and apply Basics of Geometry Creation, Grid Generation, Meshing methods, Post-

processing of Results using HPC 5. Understand the Basics of Parallel Computing and How Parallel Processing is Performed During

Calculations 6. Understand and Use the Concept of Distributed Memory and its different modes 7. Overview of parallel computing processors, communications topologies and languages. Use of

workstation networks as parallel computers. 8. Design of parallel programs: Data decomposition, load balancing, communications and

synchronization 9. Introduction to initial value problems. Simple schemes for solving differential equations with

error estimators 10. Use of HPC and Parallel Computing in Time marching problems, McCormack Technique,

Relaxation Technique, Explicit and Implicit Methods 11. Be able to implement HPC and Parallel Computing Algorithms for Variety of CFD and

Engineering Problems with the help of Case Studies


CO1 Summarize the Basics of Parallel Computing and How Parallel Processing is performed for scientific computing

CO2. Demonstrate the Concept of Distributed Memory, Parallel computing processors,

workstation networks as parallel computers.

CO3. Examine the implementation of HPC and Parallel Computing Algorithms for Variety of CFD problems with the help of Case Studies.

CO4. Compare various parallel programs based on Data decomposition, load balancing,

communications and synchronization

ASEG8004 High Performance and Parallel computing Applications in CFD

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Basic Knowledge of Mathematics, Programming

Co-requisites --




Catalog Description

On completion of this course, students should be able to understand how software should be written to solve scientific problems with a guaranteed accuracy using adaptive numerical methods, be aware of the general principles and theory used in writing reliable adaptive software, have experience of using adaptive software to compute reliable solutions to problems fundamental to real-life applications, understand parallel computer architectures, write parallel programs using the message passing system MPI. Adaptive numerical solutions of boundary value problems, including automatic selection of quadrature points to meet a given error bound. Introduction to initial value problems. Simple schemes for solving differential equations with error estimators. Overview of parallel computing processors, communications topologies and languages. Use of workstation networks as parallel computers. Design of parallel programs: Data decomposition, load balancing, communications and synchronization. Distributed memory and shared memory-programming models, MPI.

Course Content

Unit I: 6 lecture hours Introduction to High Performance Computing: Basics and Fundamentals of HPC, Comparison of Calculation Efficiencies ,Basics of Parallel Processing, Terminology, Parallel Processing Terminology, Modes for Parallel Computing, Overview of Parallel System Organization, Basics of Algorithm and Parallel Structures, PRAM Algorithm, Using of Workstations in Parallel Mode, Unit II: 7 lecture hours Multiprocessors and Architecture: Multicomputer, Flynn Taxanomy ,Speedup and Scaled Speedup, Introduction to Mapping and Scheduling, mapping data to processors on processor arrays and Multicomputer, Dynamic Load Balancing in Multicomputer, Static Scheduling on UMA Multiprocessors Unit III: 8 lecture hours Parallel Programming Languages: Programming with Parallel Computing, Fortran 90 Programmers Model for Parallel Computing. Use of Parallel Computing in Relaxation Techniques for Laplace Function, Functions and subroutine use in calculating convergence, Rungekutta technique theory, Crank-Nicholson Method, McCormack Technique for 2D and 3D Problems Unit IV: 7 lecture hours Enumeration Sort: Bitonic Merge, Parallel Branch and Bound Algorithms, Combinatorial Search Applications.Design of parallel programs: dat decomposition, Load balancing, communications and synchronization, Distributed memory and shared memory-programming models, MPI, Shared memory programming Unit V: 8 lecture hours Using adaptive software to compute reliable solutions to problems: Fundamental Real-life applications. Case Studies, General CFD Problems Using Programming in Parallel Applications. Text Books

1. Parallel Computing: Theory and Practice by Michale J. Quinn, Mc Graw Hill

Reference Books 1. Computational Methods for Fluid Dynamics, Ferziger, Springer, 1999 2. Advanced Computational Methods in Science and Engineering by Barry Koren






ESE

Weightage (%) 50 50



PO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PSO1 PSO2 CO1 2 - 2 - - - - - - - - 1 - CO2 3 2 3 - - 2 - - - - - 3 2 CO3 3 3 2 3 2 2 - - - - - 2 3 CO4 2 - 2 2 - - - - - - - 3 2 Average 2.5 2.5 2.25 2.5 2.0 2.0 0 0 0 0 0 2.25 2.33





Course Objectives

1. To help the students to understand the fundamental of CFD and various application in engineering domain in order to know the real life problem.

2. To empower students to design the turbomachinery for aero engine and analyse the flow physics through CFD tool.

3. To expose the students for aerodynamics analysis of automobile parts and visualize the flow through CFD tool.

4. To equip students with necessary engineering skills such as solving engineering problems in a chemical reactor, power plant, automobile by using commercial software and do an actual case analysis of aero engine to enhance the technical skill, team work and presentation skill in order to meet the industry requirement.

Course Outcomes On completion of this course, the students will be able to CO1. Catalog Description Computational fluid dynamics tool is widely used now a day due to its several advantages. Now a day’s researcher used CFD tool as a design tool for all the engineering application. Commercial software saves lots of time and cost for any design in the engineering field. Although it has some limitation but due to its wide range of application, its uses as basic tool for the design. Through the knowledge of CFD tool student can able to understand the flow physics of the turbomachinery as well as power plant equipment. this course will have taught to student how CFD tool is used in the field of turbomachinery, power plant, automotive etc. The course starts with fundamental of CFD, advantages and its application in engineering field. Further unit emphasis on the design of turbomachinery and its aero thermal analysis through CFD tool, automotive aerodynamic analysis through commercial software. At the end of the course student can able to design the turbomachinery and its aero thermal analysis through Ansys software, analyze the automotive parts aerodynamically through commercial software.

ASEG 8002 Usage of CFD in Multidisciplinary Applications

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Strong knowledge of computational fluid dynamics in terms of

numerical methods, schemes and solvers Hands on experience of some commercial software such as GAMBIT, Fluent, CFX etc. Basic awareness of writing code in MATLAB or FORTRAN

Co-requisites




Course Content

Unit I: 6 lecture hours Introduction: Fundamentals of CFD and various application in engineering domain, introduction and Basics of the CFD tools used in engineering field. Unit II: 8 lecture hours Turbomachinery machine Component: Introduction of turbomachinery, axial flow compressor, centrifugal compressor, turbines. Aerothermal analysis of the components and mathematical CFD tool used for the flow physics Unit III: 10 lecture hours Automotive Design and Analysis: Introduction of automobile parts and its aerodynamics design analysis. Advantages of the CFD used in automobile. Heavy vehicles, passenger vehicles, aerodynamics analysis and transient aerodynamics. HVAC cooling, brake cooling analysis and all related components thermal analysis. Unit IV: 6 lecture hours Power plant component analysis: Overview of the power plant equipment used in aircraft. CFD analysis of the power plant equipments. Unit V: 6 lecture hours Introduction of chemical reactors: uses and advantages of CFD tools. CFD application in Marine fields and its benefits Text Books

1. S.L. Dixon, Turbomachinery and Fluid Dynamics 2. Bhaskar roy, Aircraft propulsion, Elsevier Publication

Reference Books 1. Tutorial notes of various commercial software. 2. Journal of Finite Elements in Design and Analysis-Elsevier, Journal of Computational Fluid

Dynamics Computational, Science and Engineering Journals, ASME fluid Dynamics Journal Modes of Evaluation: Quiz/Assignment/ presentation/ extempore/ Written Examination Examination Scheme:

Components IA ESE Weightage (%) 50 50






CO1 1 0 0 0 0 0 0 0 1 0 0 0 0 CO2 2 2 1 2 0 0 0 1 1 0 1 2 2 CO3 3 2 2 1 2 1 0 1 1 0 1 2 1 CO4 3 2 2 2 2 1 0 1 1 1 1 2 2 CO5 2 2 3 2 3 2 1 1 1 1 1 3 2 Average 2.2 2 2 1.75 2.33 1.33 1 1 1 1 1 2.25 1.4





Course Objectives

1. To understand the concepts of Software Engineering and its processes. 2. To understand Software Requirements Analysis and specification. 3. To understand planning a software project on the basis of Cost, Schedule and Quality 4. To gain in-depth knowledge of the testing techniques and strategies deployed


CO1. Understand various software process models such as the waterfall and evolutionary

models.

CO2. Demonstrate effective project execution, quality control and risk management

techniques that result in successful projects.

CO3. Apply software models, techniques and technologies to bring out innovative and

novelistic solutions to engineering problems

CO4. Prioritize project-planning activities that accurately forecast project costs, timelines and

quality.

Catalog Description The Software Engineering educational programs tends to a full scope of programming exercises including

gathering customer prerequisites, planning and developing programming arrangements, testing

programming, and adjusting and expanding existing frameworks. The educational modules likewise

perceive that most programming is produced by groups, and understudies create abilities in venture

administration and group operation. Graduates are all around arranged to work as programming building

colleagues and furthermore advance toward programming designing administration. The center courses

ASEG 8001 Software Engineering and Project Management

L T P C

Version 2.0 3 0 0 3 Pre-requisites/Exposure Basic Knowledge of Data Structure and Object Oriented

Programing Co-requisites --




address programming and utilization of programming improvement instruments, detail and outline,

programming design, confirmation and approval, programming development, and group ventures.

Course Content

Unit I: 8 lecture hours INTRODUCTION TO SOFTWARE ENGINEERING: Software, Software Engineering, S/W Crisis, Project, Product, Customized Product, Project Team and Role & Responsibilities, Size of Project, Total Effort Devoted to Software, Distribution of Effort. Software Development Life Cycle (SDLC): Waterfall Model, Iterative Model, Spiral Model, V Model, Agile Model, RAD Mode and Prototype Model Unit II: 6 lecture hours REQUIREMENT ENGINEERING & TECHNIQUES: Requirement engineering, Process- Feasibility Study, Requirement Gathering, Process- Software Requirement Specification, Software Requirement Validation, Requirement Elicitation Process & Techniques, Software Requirements- Functional/Non-Functional, Characteristics of Software Requirement, User Interface UI Requirements, Software Metric & measures Unit III: 8 lecture hours SOFTWARE ANALYSIS, DESIGN & IMPLEMENTATION ISSUES: Software Design Levels, Modularization, Concurrency- Coupling & Cohesion, Analysis and Design Tools-DFD, Structure Chart, HIPO, Decision Table, ER Model, Data Dictionary, Structured, Function and Object Oriented Design, Software Design Approach-TOP DOWN and BOTTOM UP, Software Design Complexity- Halstead's Complexity Measures, Cyclomatic Complexity Measures, Function Point, Software Implementation- Structured Programing, Functional Programing, Programing Style, Implementations Issues Unit IV: 6 lecture hours SOFTWARE TESTING & MAINTENANCE: Verification & Validation, Black-Box & White-Box Testing, Testing Levels, Test Documents- SRS, Test Plan, Test Scenario, Test Case, QTS, Defect Report, Software Maintenance, Types of Maintenance, Maintenance Activity, Cost of Maintenance, Software Re-Engineering. Unit V: 8 lecture hours SOFTWARE PROJECT MANAGEMENT: Introduction, 4P's Concept- People, Product, Process, Project, Software Project, Need of Project Management, Software Project Management Activities, Software Project Estimation & Techniques, COCOMO Model, Delfi Cost Estimation, Project Scheduling, Risk Management, Configuration Management & Change Control, Software Project Management Tools- Gannt Chart, PERT Chart. Text Books

1. ROGER S PRESSMAN (2009), SOFTWARE ENGINEERING- APRACTITIONER'S APPROACH, McGraw-Hill Series ISBN: 0071267824

2. Bob Hughes and Mike Cotterell, Software Project Management McGraw-Hill, ISBN: 0077095057




Reference Books 1. Rajib Mall (2014), Fundamental of Software Engineering, Paperback. 2. Robert K. Wysocki (2006) Effective Software Project Management, Paperback. ISBN:

8126507861 Modes of Evaluation: Quiz/Assignment/ presentation/ extempore/ Written Examination Examination Scheme:

Components MSE ESE Weightage (%) 50 50



CO1 2 1 0 0 2 0 1 0 1 0 0 1 0 CO2 2 3 2 2 2 1 2 0 0 1 0 3 2 CO3 0 0 1 1 2 2 3 1 2 2 1 2 2

CO4 0 1 0 2 1 3 3 2 3 2 1 1 3 Average 2 1.66 1.5 1.66 1.75 2 2.25 1.5 2 1.66 1 1.75 2.33





The Lab will consist of using commercial CFD software such as Gambit, FLUENT, ANSYS, CFX,

Komsol Multiphysics and other available commercial software to analyze real life fluid dynamics

problems such as Boundary Layer Analysis, Flow over a Flat Plate, Supersonic Flow over a Wedge,

Compressible Flow inside a Nozzle, Subsonic Flow over a Venturi, Wind Tunnel Simulation Using

CFD, Chemical Combustion Analysis and Mixture in a simple Chemical Reactor

ASEG 8103 LAB-Commercial CFD software Applications

L T P C

Version 2.0 0 0 6 3 Pre-requisites/Exposure Basic Knowledge of Computational Fluid Dynamics Co-requisites --




Usage of CFD in a particular industrial application such as Aerospace, Automotive Design Engineering,

Turbomachinery, Chemical reactor Analysis. The student will do a project for the industry.

ASEG 8102 CFD Industrial Applications Project L T P C





Student Internship on a live project in a CFD related Industry for Six to nine weeks. Grades will be

awarded as per his performance report from the reporting manager. Program Coordinators need to take

care about performance and coordination with the Industry.

SIIB 8101 Summer Internship L T P C





Based on the work progressed in the Internship Period, A panel based evaluation will be carried out under

the direct supervision of head of the department and program coordinator. A Self compiled report need to

be submitted to the university.

SEMI 8101 Summer Internship Seminar L T P C







PROJ 8101 Project I L T P C










PROJ 8102 PROJECT-II L T P C
