Computational Fluid Dynamics Courses Online

Will you please provide me the information about the Computational Fluid Dynamics Courses Online?

[Raman Vij]

Computational Fluid Dynamics (CFD) is a technology. It is based on a fast and reliable computational methodology for solving complex fluid flow and heat transfer problems. This course enables the product design team to reduce their risks of potential design failures, optimize their engineering design, and, could therefore; provide them with that illusive competitive advantage in the marketplace.

Who Should Attend
This course is aimed at engineers, scientists, designers and managers who would like to gain an insight into this technology and some of its vast range of capabilities.

Special Requirement
Participants must obtain their own licensed copies of ANSYS Fluent®.
Course Type: Online Instructor-Led Course
Course Number: EL513
Language: English

Date & Location Member Price List Price Qty

Online
Aug 25, 2014 - Oct 6, 2014 $595.00 $695.00 1

Online
Oct 20, 2014 - Dec 1, 2014 $595.00 $695.00 1

Online
Dec 8, 2014 - Jan 19, 2015 $595.00 $695.00 1

Online
Jan 26, 2015 - Mar 9, 2015 $595.00 $695.00 1

Please supply me the syllabus for the Computational Fluid Dynamics Courses Online as I have misplaced my copy?

[Raman Vij]

Computational Fluid Dynamics Course is an preliminary course in CFD. In this course, students will be exposed to fundamentals of CFD. Students will achieve knowledge on FD/ FV strategy, formulation of the problem and solution techniques.

The syllabus for the Computational Fluid Dynamics Course Online is as follows:

Week1

Module1: Introduction
Module 2: Review of basic fluid mechanics
Module 3: Review of equations and importance of terms
Module 4: Review of equations (contd.) and non-dimensionalization
Module 5: Vorticity-Stream function equation, classification of equation and the solution nature
Module 6: Classification of equations (contd.), types of boundary conditions and
description about standard test cases.

Week2

Module 1: Steps involved in CFD, Information about Computational domain and grid with illustration
Module 2: Information about grid (contd.); Taylor’s series expansion
Module 3: Taylor’s series expansion, CD / FD / BD for first & second derivative;
Module 4: FD formula for non-uniform mesh; mixed derivative
Module 5: Derivation for higher derivative; FD formula by Polynomial procedure

Week3

Module 1: Different Approximation Methods
Module 2: Properties associated with discretization
Module 3: Errors due to approximation and their analysis – consistency, convergence
Module 4: Stability analysis
Module 5: FD formulation for model equations and explanation

Week 4

Module 1: FV formulation for diffusion equation – 1D
Module 2: Example and extension to 2D and 3D
Module 3: FV formulation for convection and diffusion equation
Module 4 & 5: Treatment of convective terms - different interpolations

Week 5

Module 1 & 2: Illustration on the performance by different approximation for convection terms
Module 3: Time integration methods
Module 4: Arrangement of variables; Introduction to Pressure velocity coupling, MAC
Module 5: SIMPLE
Module 6: Variants of SIMPLE, Projection Method

Week 6

Module 1: Introduction to Turbulent flows
Module 2: Deriving governing equations
Module 3: Reynolds stresses, modeling strategy
Module 4 & 5: Introduction to Standard models and explanation

Week 7

Module 1: Matrix inversion – Direct, Iterative procedure
Module 2: Direct solver / Iterative solver
Module 3 - 5: Iterative solver

Week 8

Module 1 - 5: Demonstration of a test case with a display of working CFD code and details