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Accurately predicting the behaviour of multiphase flows is a problem of immense industrial and scientific interest. Modern computers can now study the dynamics in great detail and these simulations yield unprecedented insight. This book provides a comprehensive introduction to direct numerical simulations of multiphase flows for researchers and graduate students. After a brief overview of the context and history the authors review the governing equations. A particular emphasis is placed on the 'one-fluid' formulation where a single set of equations is used to describe the entire flow field and interface terms are included as singularity distributions. Several applications are discussed, showing how direct numerical simulations have helped researchers advance both our understanding and our ability to make predictions. The final chapter gives an overview of recent studies of flows with relatively complex physics, such as mass transfer and chemical reactions, solidification and boiling, and includes extensive references to current work.
- Sales Rank: #2722667 in Books
- Published on: 2011-04-25
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .83" w x 5.98" l, 1.70 pounds
- Binding: Hardcover
- 338 pages
Review
"This book provides a comprehensive introduction to direct numerical simulations of multiphase flows. It is useful for researchers and graduate students in computational engineering science who are interested in the development and application of numerical simulation methods for multiphase incompressible flows."
Arnold Reusken, Mathematical Reviews
About the Author
Gr�tar Tryggvason is a Professor and Head of the Mechanical Engineering Department at the Worcester Polytechnic Institute, Massachusetts.
Ruben Scardovelli is an Associate Professor in the Dipartimento di Ingegneria Energetica, Nucleare e del Controllo Ambientale (DIENCA) of the Universit... degli Studi di Bologna.
St�phane Zaleski is Professor of Mechanics at the University Pierre et Marie Curie (UPMC) in Paris and Head of the Jean Le Rond d'Alembert Institute (CNRS UMR 7190).
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