An Introduction to Computational Fluid Dynamics (CFD)

An Introduction to Computational Fluid Dynamics (CFD), available at $54.99, has an average rating of 4.15, with 42 lectures, based on 179 reviews, and has 1142 subscribers.

You will learn about The basics of computational fluid dynamics using the finite volume method. This course is ideal for individuals who are Upper division undergraduate and beginning graduate level engineering, mathematics, and science students. Engineers and scientists working in industry who would like an introduction to CFD. It is particularly useful for Upper division undergraduate and beginning graduate level engineering, mathematics, and science students. Engineers and scientists working in industry who would like an introduction to CFD.

Enroll now: An Introduction to Computational Fluid Dynamics (CFD)

Summary

Title: An Introduction to Computational Fluid Dynamics (CFD)

Price: $54.99

Average Rating: 4.15

Number of Lectures: 42

Number of Published Lectures: 41

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 46

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

The basics of computational fluid dynamics using the finite volume method.

Who Should Attend

Upper division undergraduate and beginning graduate level engineering, mathematics, and science students. Engineers and scientists working in industry who would like an introduction to CFD.

Target Audiences

Upper division undergraduate and beginning graduate level engineering, mathematics, and science students. Engineers and scientists working in industry who would like an introduction to CFD.

This course will cover the basics of the finite volume method for incompressible flows on two-dimensional Cartesian grids. Topics include the discretization procedure, interpolation techniques, boundary conditions, flow visualization using ParaView, and CFD errors and uncertainty. Students will write three codes; the first code solves a pure diffusion problem, the second solves a pure convection problem, and the third solves the Navier-Stokes equations using the SIMPLE pressure-velocity coupling procedure. The Navier-Stokes solver will be used to solve the “driven cavity” problem, and a problem involving the developing flow in a channel. These three codes are also available for download to, for instance, study the solution procedure, or help in debugging a student written code. (Both Fortran and Python versions of the codes are available for students to download.) Upon completion of the course students will be familiar with the basics of the finite volume method, enabling a more effective use of a commercial CFD solver, and possess the background necessary to study more advanced CFD techniques. To get the most benefit from the course, a student should be familiar with fluid dynamics as taught at the university undergraduate level, and be comfortable working with Fortran, Python, or a comparable scientific programming language.

Course Curriculum

Chapter 1: Introduction

Lecture 1: A Brief Introduction to CFD and what we will cover in this course.

Lecture 2: Some representative, low-cost CFD results.

Chapter 2: A review of Finite Difference Approximations and Iterative Methods.

Lecture 1: Derivation of FInite Difference Approximations

Lecture 2: Basic Iterative Solvers

Chapter 3: Finite Volume Method for Diffusion Problems

Lecture 1: Discretization of Diffusion Terms: Part 1

Lecture 2: Discretization of Diffusion Terms: Part 2

Lecture 3: Discretization of Diffusion Terms: Boundary Conditions

Lecture 4: An Example Problem

Lecture 5: Fortran (and Python) Code for Example Diffusion Problem

Lecture 6: Section of Fortran Code to Write .csv FIle for ParaView

Lecture 7: Visualization Using ParaView

Chapter 4: Finite Volume Method for Convection Problems

Lecture 1: Discretization of Convection Terms

Lecture 2: Interpolation Methods: Central "Differencing"

Lecture 3: Interpolation Methods: 1st Order Upwinding

Lecture 4: Deferred Correction to "Blend" Interpolation Schemes

Lecture 5: An Example Problem: Description

Lecture 6: Upwinding Component Boundary Conditions for Example Problem

Lecture 7: Central Differencing Component Boundary Conditions for Example Problem

Lecture 8: Corner Cell Coefficients

Lecture 9: Fortran (and Python) Code for Example Convection Problem

Lecture 10: Results

Lecture 11: Other Interpolation Schemes

Lecture 12: Interpolation Scheme Truncation Errors

Lecture 13: Generalization of Interpolation Schemes

Lecture 14: Desirable Properties of Discretization Schemes

Lecture 15: Stability of Combined Convection/Diffusion Problems

Chapter 5: Finite Volume Method for the Navier-Stokes Equations

Lecture 1: The Navier-Stokes Equations

Lecture 2: Staggered Grid Arrangement of Variables

Lecture 3: The SIMPLE Procedure for Pressure-Velocity Coupling

Lecture 4: Discretization of the X-Momentum Equation: Part 1

Lecture 5: Underrelaxation of the Momentum Equations

Lecture 6: The Velocity Correction Equations

Lecture 7: The Discretized Continuity Equation

Lecture 8: Index Notation for Navier-Stokes Solver (Code) on Staggered Grid

Lecture 9: Fortran (and Python) Code for Navier-Stokes Solver

Lecture 10: Description of Driven Cavity and Developing Flow in a Channel Problems

Lecture 11: Driven Cavity Results Using ParaView

Lecture 12: Channel Flow Results Using ParaView

Lecture 13: Other Boundary Conditions

Lecture 14: Driven Cavity Streamlines Using Paraview

Chapter 6: Errors and Uncertainy in CFD

Lecture 1: CFD Errors and Uncertainty

Instructors

Robert Spall
Mechanical and Aerospace Engineering

Rating Distribution

1 stars: 5 votes
2 stars: 4 votes
3 stars: 22 votes
4 stars: 68 votes
5 stars: 80 votes

Frequently Asked Questions

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