Computational Fluid Dynamics

A Practical Approach

4th Edition - May 9, 2023
Authors: Jiyuan Tu, Guan Heng Yeoh, Chaoqun Liu, Yao Tao
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 3 9 3 8 - 6
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 3 9 3 9 - 3

Computational Fluid Dynamics: A Practical Approach, Fourth Edition is an introduction to computational fluid dynamics (CFD) fundamentals and commercial CFD software to solve engine… Read more

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Computational Fluid Dynamics: A Practical Approach, Fourth Edition is an introduction to computational fluid dynamics (CFD) fundamentals and commercial CFD software to solve engineering problems. The book is designed for a wide variety of engineering students new to CFD, but is also ideal 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.

Cover
Title page
Table of Contents
Copyright
Preface
Chapter 1: Introduction
Abstract
1.1: What is computational fluid dynamics
1.2: Advantages of computational fluid dynamics
1.3: Application of computational fluid dynamics
1.4: The future of computational fluid dynamics
1.5: Summary
Review questions
References
Chapter 2: CFD Solution Procedure – A Beginning
Abstract
2.1: Introduction
2.2: Problem setup – pre-process
2.3: Numerical solution – CFD solver
2.4: Result report and visualization – post-process
2.5: Summary
Review questions
References
Chapter 3: Governing Equations for CFD – Fundamentals
Abstract
3.1: Introduction
3.2: The continuity equation
Examples
3.3: The momentum equation
Examples
3.4: The energy equation
Examples
3.5: The additional equations for turbulent flow
Example
3.6: Generic form of the governing equations for CFD
Example
3.7: Physical boundary conditions of the governing equations
3.8: Summary
Review questions
References
Chapter 4: CFD Mesh Generation – A Practical Guideline
Abstract
4.1: Introduction
4.2: Types of meshes
4.3: Comments on mesh topology
4.4: Local mesh refinement
4.5: Overlapping mesh techniques
4.6: Adaptive mesh with solution
4.7: Moving meshes
4.8: Guidelines for mesh quality and mesh design
4.9: Summary
Review questions
References
Chapter 5: CFD Techniques – The Basics
Abstract
5.1: Introduction
5.2: Discretization of governing equations
Example
5.3: Converting governing equations to algebraic equation system
Example
5.4: Numerical solutions to algebraic equations
Example
Example
5.5: Pressure-velocity coupling – simple scheme
Example
5.6: Multigrid method
5.7: Summary
Review questions
References
Chapter 6: CFD Solution Analysis – Essentials
Abstract
6.1: Introduction
6.2: Consistency
Examples
6.3: Stability
Examples
6.4: Convergence
Example
Example
6.5: Accuracy
6.6: Efficiency
6.7: Case studies
6.8: Summary
Review questions
References
Chapter 7: Practical Guidelines for CFD Simulation and Analysis
Abstract
7.1: Introduction
7.2: Guidelines for Boundary Conditions
7.3: Guidelines for Turbulence Modeling
7.4: Other Practical Guidelines for CFD Users
7.5: Summary
Review questions
References
Chapter 8: Some Applications of CFD With Examples
Abstract
8.1: Introduction
8.2: To assist in design process – as a design tool
8.3: To enhance understanding – as a research tool
8.4: Other important applications
8.5: Summary
Review questions
References
Chapter 9: Some Advanced Topics in CFD
Abstract
9.1: Introduction
9.2: Early development of CFD algorithms
9.3: Advances in numerical methods and techniques
9.4: Advances in computational models
9.5: Other numerical approaches for computation of fluid dynamics
9.6: Summary
Review questions
References☆
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
E.1: Assignment 1
E.2: Assignment 2
E.3: Assignment 3
E.4: Project guideline
E.5: Example – CFD project proposal prepared by the student
E.6: Other topics for CFD projects
References
Appendix F: Other Numerical Methods and Techniques
F.1: Multigrid methods
References
References
Further Suggested Reading
Index

Jiyuan Tu

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.

Affiliations and expertise

Professor and Deputy Head, Research and Innovation, Department of Aerospace, Mechanical and Manufacturing Engineering, at Royal Melbourne Institute of Technology (RMIT) University, Australia.

Guan Heng Yeoh

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.

Affiliations and expertise

Professor, Mechanical Engineering (CFD), University of New South Wales, Sydney, Australian Nuclear Science and Technology Organisation, University of New South Wales, Australia

Chaoqun Liu

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.

Affiliations and expertise

Tenured and Distinguished Professor and the Director of Center for Numerical Simulation and Modeling at University of Texas at Arlington, Arlington, Texas, USA.

Yao Tao

Dr. Yao Tao is a research officer in the School of Engineering at RMIT University in Victoria, Australia.