Hardcover. This book describes some newly developed computational techniques and modeling strategies for analyzing and predicting complex transport phenomena. It summarizes advances in the context of a pressure-based algorithm and discusses methods such as discretization schemes for treating convection and pressure, parallel computing, multigrid methods, and composite, multiblock techniques. The final chapter is devoted to practical applications that illustrate the advantages of various numerical and physical tools. The authors provide numerous examples throughout the text. Describes computational techniques and modelling strategies for mechanical, aerospace, chemical, and materials engineers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Computational Techniques for Complex Transport Phenomena (Hardcover)
Publisher: Cambridge University Press, Cambridge
Publication Date: 1997
Language: English
ISBN 10: 0521592682
ISBN 13: 9780521592680
Binding: Hardcover
Condition: new

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Synopsis

This book describes some newly developed computational techniques and modeling strategies for analyzing and predicting complex transport phenomena. It summarizes advances in the context of a pressure-based algorithm and discusses methods such as discretization schemes for treating convection and pressure, parallel computing, multigrid methods, and composite, multiblock techniques. The final chapter is devoted to practical applications that illustrate the advantages of various numerical and physical tools. The authors provide numerous examples throughout the text.

Book Description

Complex fluid flows are encountered widely in nature and in engineering practice. These flows often involve both geometric and dynamic complexity and present problems that are difficult to analyze.This book describes some newly developed computational techniques and modeling strategies for analyzing and predicting complex transport phenomena. It summarizes advances in the context of a pressure-based algorithm. Numerous examples are included, as well as practical applications that illustrate the advantages of various numerical and physical tools.

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