AE

AE802B: Fundamentals of Computational Fluid Dynamics Syllabus for AE 8th Sem 2019-20 DBATU (Elective-VII)

Fundamentals of Computational Fluid Dynamics detailed syllabus scheme for Automobile Engineering (AE), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For 8th Sem Scheme of Automobile Engineering (AE), 2019-20 Onwards, do visit AE 8th Sem Scheme, 2019-20 Onwards. For the Elective-VII scheme of 8th Sem 2019-20 onwards, refer to AE 8th Sem Elective-VII Scheme 2019-20 Onwards. The detail syllabus for fundamentals of computational fluid dynamics is as follows.

Fundamentals of Computational Fluid Dynamics Syllabus for Automobile Engineering (AE) 4th Year 8th Sem 2019-20 DBATU

Fundamentals of Computational Fluid Dynamics

Pre-requisite:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Course outcomes:

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

  • Identify applications of finite volume and finite element methods to solve Navier-Stoke equations.
  • Evaluate solution of aerodynamic flows. Appraise and compare current CFD software. Simplif flow problems and solve them exactly.
  • Design and setup flow problem properly within CFD context, performing solid modeling usins CAD package and producing grids via meshing tool
  • Interpret both flow physics and mathematical properties of governing Navier-Stokes equation and define proper boundary conditions for solution.
  • Use CFD software to model relevant engineering flow problems. Analyse the CFD results Compare with available data, and discuss the findings

Unit I

Introduction to CFD
CFD – a research and design tool, CFD as third dimension of engineering supplementing theory and experiment, Steps in CFD solution procedure, strengths and weakness of CFD, Flow modelling using control volume – finite and infinitesimal control volumes, Concept of substantial derivative, divergence of velocity, Basic governing equations in integral and differential forms – conservation of mass, momentum and energy (No derivations), Physical interpretation of governing equations, Navier-Stokes model and Eulers model of equations.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit III

Two Dimensional Steady and unsteady heat conduction
Solution of two dimensional steady and unsteady heat conduction equation with Dirichlet, Neumann, Robbins and mixed boundary condition – solution by Explicit and Alternating Direction Implicit method (ADI Method), Approach for irregular boundary for 2D heat conduction problems.

Unit IV

Application of Numerical Methods to Convection – Diffusion system
Convection: first order wave equation solution with upwind, Lax-Wendroff, Mac Cormack scheme, Stability Criteria concept and physical interpretation Convection -Diffusion: 1D and 2D steady Convection Diffusion system – Central difference approach, Peclet Number, stability criteria, upwind difference approach, 1 D transient convection-diffusion system

Unit V

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit VI

CFD as Practical approach
Introduction to any CFD tool, steps in pre-processing, geometry creation, mesh generation, selection of physics and material properties, specifying boundary condition, Physical Boundary condition types such as no slip, free slip, rotating wall, symmetry and periodic, wall roughness, initialising and solution control for the solver, Residuals, analysing the plots of various parameters (Scalar and Vector contours such as streamlines, velocity vector plots and animation) Introduction to turbulence models. Reynolds Averaged Navier-Stokes equations (RANS), k-e, k-. Simple problems like flow inside a 2-D square lid driven cavity flow through the nozzle Texts/

Reference Books:

  1. Computational Fluid Dynamics, John D Anderson: The Basics with Applications, McGraw-Hill
  2. Computational Fluid Dynamics, J. Tu, G.-H. Yeoh and C. Liu: A practical approach, Elsevier.
  3. Introduction to Computational Fluid Dynamics, A. W. Date: Cambridge University Press
  4. Computer Simulation of Fluid flow and heat transfer, P.S.Ghoshdastidar: Tata McGraw-Hill.
  5. Numerical Simulation of internal and external flows, Vol. 1, C. Hirsch, Wiley
  6. Computational Fluid Mechanics and Heat transfer, Tannehill, Anderson, and Pletcher, CRC Press.

For detail syllabus of all subjects of Automobile Engineering (AE) 8th Sem 2019-20 onwards, visit AE 8th Sem Subjects of 2019-20 Onwards.

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