Computational Fluid Dynamics

Computational Fluid Dynamics: A Practical Approach, Third Edition, is an introduction to CFD fundamentals and commercial CFD software to solve engineering problems. The book is designed for a wide variety of engineering students new to CFD, and for practicing engineers learning CFD for the first time. Combining an appropriate level of mathematical background, worked examples, computer screen shots, and step-by-step processes, this book walks the reader through modeling and computing, as well as interpreting CFD results. This new edition has been updated throughout, with new content and improved figures, examples and problems.

Contents

Chapter 1 Introduction

Chapter 2 CFD Solution Procedure: A Beginning

Chapter 3 Governing Equations for CFD : Fundamentals

Chapter 4 CFD Mesh Generation: A Practical Guideline

Chapter 5 CFD Techniques: The Basics

Chapter 6 CFD Solution Analysis: Essentials

Chapter 7 Practical Guidelines for CFD Simulation and Analysis

Chapter 8 Some Applications of CFD With Examples

Chapter 9 Some Advanced Topics in CFD

Chapter e1 CFD Case Studies

Appendix A Full Derivation of Conservation Equations

Appendix B Upwind Schemes

Appendix C Explicit and Implicit Methods

Appendix D Learning Program

Appendix E CFD Assignments and Guideline for CFD Project

Review

“It is very useful for those who use CFD software and want to get a better understanding of the inner workings of the equations used by software developers and want to create more accurate simulations. …A very good book indeed, especially for those who use CFD modeling software to develop models for improving engineering designs or for basic scientific studies that need to model turbulance in their simulation.” –IEEE Electrical Insulation Magazine

Review

A robust introduction to computational fluid dynamics (CFD) and its many practical applications for solving engineering problems

About the Author

Jiyuan Tu is Professor and Deputy Head, Research and Innovation, Department of Aerospace, Mechanical and Manufacturing Engineering, at Royal Melbourne Institute of Technology (RMIT) University, Australia. Professor Tu’s research interests are in the areas of computational fluid dynamics (CFD) and numerical heat transfer (NHT), computational and experimental modelling of multiphase flows, fluid-structure interaction, optimal design of drug delivery devices, and simulation of blood flow in arteries.

Guan Heng Yeoh is a professor at the School of Mechanical and Manufacturing Engineering, UNSW, and a principal research scientist at ANSTO. He is the founder and editor of the Journal of Computational Multiphase Flows and the group leader of Computational Thermal-Hydraulics of OPAL Research Reactor, ANSTO. He has approximately 250 publications including 10 books, 12 book chapters, 156 journal articles and 115 conference papers with an H-index of 33 and over 4490 citations. His research interests are computational fluid dynamics (CFD); numerical heat and mass transfer; turbulence modelling using Reynolds averaging and large eddy simulation; combustion, radiation heat transfer, soot formation and oxidation, and solid pyrolysis in fire engineering; fundamental studies in multiphase flows: free surface, gas-particle, liquid-solid (blood flow and nanoparticles), and gas-liquid (bubbly, slug/cap, churn-turbulent, and subcooled nucleate boiling flows); computational modelling of industrial systems of single-phase and multiphase flows.

Dr. Chaoqun Liu received both BS (1968) and MS (1981) from Tsinghua University, Beijing, China and PhD (1989) from University of Colorado at Denver, USA. He is currently the Tenured and Distinguished Professor and the Director of Center for Numerical Simulation and Modeling at University of Texas at Arlington, Arlington, Texas, USA. He has worked on high order direct numerical simulation (DNS) and large eddy simulation (LES) for flow transition and turbulence for over 30 years since 1989. He has published 11 professional books, 120 journal papers and 145 conference papers. He is the founder and major contributor of the third generation of vortex identification methods including the Omega, Liutex/Rortex, Liutex-Omega, Modified Liutex-Omega, Liutex Core Line methods, RS vorticity decomposition and R-NR velocity gradient decomposition.