Computational Fluid Dynamics detail syllabus for Aerospace Engineering (As), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17AS72/1 7AE72), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other as 7th sem syllabus for be 2017 scheme vtu you can visit AS 7th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for computational fluid dynamics is as follows.
Course Objectives:
This course will enable students to
- Know the basic equations of fluid dynamics, boundary layer and discretization.
- Understand the source and vortex panel method.
- Know about FDM, FVM and FEM.
Module 1
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Module 2
Mathematical Behaviour of Partial Differential Equations: Classification of partial differential equations. Cramer Rule and Eigen value methods for classification. Hyperbolic, parabolic, and elliptic forms of equations. Impact of classification on physical and computational fluid dynamics. Case studies: steady inviscid supersonic flow, unsteady inviscid flow, steady boundary layer flow, and unsteady thermal conduction, steady subsonic inviscid flow.
Module 3
Grid Generation and Adaptive Grids: Need for grid generation and Body-fitted coordinate system. Structured Grids-essential features. Structured Grid generation techniques- algebraic and numerical methods. Unstructured Grids-essential features. Unstructured Grid generation techniques- Delaunay-Voronoi diagram, advancing front method. Surface grid generation, multi-block grid generation, and meshless methods. Grid quality and adaptive grids. Structured grids adaptive methods and unstructured grids adaptive methods.
Module 4
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Module 5
Finite Volume Technique and Some Applications: Spatial discretisation- cell centered and cell vertex techniques (overlapping control volume, duel control volume). Temporal discretisation- Explicit time stepping, and implicit time stepping. Time step calculation. Upwind scheme and high resolution scheme. Flux vector splitting, approximate factorisation. Artificial dissipation and flux limiters. Unsteady flows and heat conduction problems. Upwind biasing.
Course Outcomes:
After studying this course, students will be able to:
- Differentiate the FDM, FVM and FEM
- Perform the flow, structural and thermal analysis.
- Utilize the discretization methods according to the application.
Graduate Attributes (as per NBA):
- Engineering Knowledge.
- Problem Analysis.
- Design / development of solutions
- Interpretation of data
Question paper pattern:
- The question paper will have ten questions.
- Each full question consists of 16 marks.
- There will be 2 full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Fletcher, C.A.J., “Computational Techniques for Fluid Dynamics”, Springer, Berlin,2nd edition, 2002,ISBN-13: 978-3540543046
- John D. Anderson, “Computational Fluid Dynamics, McGraw Hill, 2013, ISBN-13: 978-0070016859.
Reference Books:
- John F. Wendt, “Computational Fluid Dynamics – An Introduction”, Springer , 3rd edition,2013
- Charles Hirsch, “Numerical Computation of Internal and External Flows”,Elsevier,1st edition, 2007,ISBN-13: 978-9381269428.
- Klaus A Hoffmann and Steve T. Chiang. “Computational Fluid Dynamics for Engineers”, Vols. I & II Engineering Education System, P.O. Box 20078, W. Wichita, K.S., 67208 – 1078 USA, 1993.
For detail syllabus of all other subjects of BE As, 2017 scheme do visit As 7th Sem syllabus for 2017 scheme.
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