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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.
- Includes a new chapter on practical guidelines for mesh generation
- Provides full coverage of high-pressure fluid dynamics and the meshless approach to provide a broader overview of the application areas where CFD can be used
- Includes online resources with a new bonus chapter featuring detailed case studies and the latest developments in CFD
Senior level undergraduate and graduate students of mechanical, aerospace, civil, chemical, environmental and marine engineering. Beginner users of commercial CFD software tools
2. CFD Solution Procedure – A Beginning
3. Governing Equations for CFD – Fundamentals
4. CFD Mesh Generation – A Practical Guideline (new)
5. CFD Techniques - The Basics
6. CFD Solution Analysis – Essentials
7. Practical Guidelines for CFD Simulation and Analysis
8. Some Applications of CFD with Examples
9. Some Advanced Topics in CFD
10. Cased Studies and Latest Developments on Applications of CFD (new online bonus chapter)
- No. of pages:
- © Butterworth-Heinemann 2019
- 26th January 2018
- Paperback ISBN:
- eBook ISBN:
Professor and Deputy Head, Research and Innovation, Department of Aerospace, Mechanical and Manufacturing Engineering, Royal Melbourne Institute of Technology (RMIT) University, Australia
RMIT University, Australia, University of New South Wales, Australia, Tsinghua University, P.R. China
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.
Mechanical Engineering (CFD), University of New South Wales, Sydney, Australian Nuclear Science and Technology Organisation, University of New South Wales, Australia
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. As PI, he has been awarded by NASA, US Air Force and US Navy with 50 federal research grants of over 5.7106 US dollars in the United States.. 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
Center for Numerical Simulation and Modeling, University of Texas at Arlington, Arlington, Texas, USA
"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
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