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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Request a sales quoteComputational 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.
- Updated throughout, with new case studies, examples, references, and corrections according to readers’ and reviewers’ feedback
- Delivers the latest developments in CFD including the high-order and reduced-order modeling approach, machine learning–accelerated CFD, full coverage of high-speed fluid dynamics, and the meshless approaches to provide a broader overview of the application areas where CFD can be used
- Reorganized and rewritten to better meet the needs of CFD instructors and students
- Online resources include all lecturing and guest lecturing PPTs, computer lab practicing with step-by-step and screenshot guidelines, assignment and course project details, answers for review questions in each chapter, a new bonus chapter featuring detailed case studies, and result discussion
Senior level undergraduate and graduate students of mechanical, aerospace, civil, chemical, environmental and marine engineering needing to take an upper level CFD course / beginner users of commercial CFD software tools
- 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
- No. of pages: 560
- Language: English
- Edition: 4
- Published: May 9, 2023
- Imprint: Butterworth-Heinemann
- Paperback ISBN: 9780323939386
- eBook ISBN: 9780323939393
JT
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.GY
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, AustraliaCL
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.YT
Yao Tao
Dr. Yao Tao is a research officer in the School of Engineering at RMIT University in Victoria, Australia.
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