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Applied Computational Fluid Dynamics Techniques: An Introduction Based on Finite Element Methods
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Product Description
Computational fluid dynamics (CFD) is concerned with the efficient numerical solution of the partial differential equations that describe fluid dynamics. CFD techniques are commonly used in the many areas of engineering where fluid behavior is an important factor. Traditional fields of application include aerospace and automotive design, and more recently, bioengineering and consumer and medical electronics. With Applied Computational Fluid Dynamics Techniques, 2nd edition, Rainald Löhner introduces the reader to the techniques required to achieve efficient CFD solvers, forming a bridge between basic theoretical and algorithmic aspects of the finite element method and its use in an industrial context where methods have to be both as simple but also as robust as possible.
This heavily revised second edition takes a practice-oriented approach with a strong emphasis on efficiency, and offers important new and updated material on;
- Overlapping and embedded grid methods
- Treatment of free surfaces
- Grid generation
- Optimal use of supercomputing hardware
- Optimal shape and process design
Applied Computational Fluid Dynamics Techniques, 2nd edition is a vital resource for engineers, researchers and designers working on CFD, aero and hydrodynamics simulations and bioengineering. Its unique practical approach will also appeal to graduate students of fluid mechanics and aero and hydrodynamics as well as biofluidics.
Product Details
- Amazon Sales Rank: #745645 in Books
- Published on: 2008-04-17
- Original language: English
- Binding: Hardcover
- 544 pages
Editorial Reviews
Review
?This book has a good concept und gives a compact description of applied CFD.? (ZAMM, October 2009)
From the Back Cover
Computational fluid dynamics (CFD) is concerned with the efficient numerical solution of the partial differential equations that describe fluid dynamics. CFD techniques are commonly used in the many areas of engineering where fluid behavior is an important factor. Traditional fields of application include aerospace and automotive design, and more recently, bioengineering and consumer and medical electronics. With Applied Computational Fluid Dynamics Techniques, 2nd edition, Rainald Löhner introduces the reader to the techniques required to achieve efficient CFD solvers, forming a bridge between basic theoretical and algorithmic aspects of the finite element method and its use in an industrial context where methods have to be both as simple but also as robust as possible.
This heavily revised second edition takes a practice-oriented approach with a strong emphasis on efficiency, and offers important new and updated material on;
Overlapping and embedded grid methods
Treatment of free surfaces
Grid generation
Optimal use of supercomputing hardware
Optimal shape and process design
Applied Computational Fluid Dynamics Techniques, 2nd edition is a vital resource for engineers, researchers and designers working on CFD, aero and hydrodynamics simulations and bioengineering. Its unique practical approach will also appeal to graduate students of fluid mechanics and aero and hydrodynamics as well as biofluidics.
Excerpt
Preface
This monograph has its roots in several short courses that were held at the Boeing company, Seattle, in 1988; the IBM Short Course in CFD, held in Monterey in 1990; and the AGARD Special Course on Unstructured Grid Methods for Advection Dominated Flows, held at the von Karman Institute in Brussels and the NASA Ames Research Center in 1992. Moreover, large portions of this text were taken from the author's publications in scientific journals, books, and conference proceedings. In much the same way as object-oriented programming, the use of computers has made it a simple matter to compile and edit the material from these publications.
The aim of this book is to provide an introduction to the techniques used in, applied computational fluid dynamics (CFD). No attempt has been made to provide a comprehensive treatise of all possible methods and algorithms. Given the high rate of innovations and the constant stream of new ideas and publications, such an undertaking would be imprudent at the present time. The emphasis is placed on well-established techniques that have proven their worth in practical applications. In an era that seems more concerned with originality than quality and reliability, this emphasis seems more than justified.
It is my great pleasure to acknowledge die input and stimulus provided by the many colleagues with whom I had the honour to work over the years. From my university team: Drs. Jean Cabello, Dorothee Martin, Helen Rudd, Benoit Petitjean, Eric Mestreau, Jean Favre, Alexander Shostko, Chi Yang, Juan Cebral, Makoto Nagaoka, Eric Darve, Jarek Tuzsinsky, Fernando Cameffi, Jacob Waltz, and Orlando Soto. From the Naval Research Laboratory/Berkeley Research Associates/SAIC/NASA-GSFC teams: Drs. Steven Zalesak, Joseph Baum, Jay Boris, David Book, Richard DeVore, John Ambrosiano, Gopal Patnaik, Ravi Ramamurti, Eric Loth, Hong Luo, and Dmitri Sharov. From the NASA LARC/Vigyan team: Drs. Manuel Salas, Clyde Gumbert, Paresh Parikh and Shaiar Prizadeh. From the Swansea/Imperial College/MIT Teams: Profs. Olgierd Zienkiewicz, Kenneth Morgan, Jaime Peraire, and Dr. Mehdi Vahdati. From the ESI Group: Drs. Ming Zhu, Philippe Ravier, Jean Roger, Ali Tabbal, Daniel Vinteler, Eberhard Haug, and Jan Clinkemaille. From the CIMNE/UPC team: Prof. Eugenio Onate, Sergio Idelssohm, and Drs. Ramon Ribo, Julio Carcia, and Carlos Sacco.
The work compiled here would not have been possible without the steady support received by the author and his colleagues from such organizations as the Air Force Office of Scientific Research, the Defense Nuclear Agency, the Defense Advanced Research Projects Agency, NASA, and the Office of Naval Research. It is my hope that we have served the taxpayers’ well by developing the techniques described. It takes years to develop a new field. These organizations have shown time and again that they are willing to be patient and optimistic.
I would also like to take the opportunity to thank Cray Research, Inc. for providing many free hours on their machines over the years and IBM for providing me with RISC workstations for private use at home. CFD would never have been the same without this support.
Dr David Book undertook the difficult task of reading the first draft of this book and provided many comments and suggestions.
Finally, to those unnamed or unreferenced (and there will be always be those) – my apoligies. You know who you are.
