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Modeling Approaches and Computational Methods for Particle-laden Turbulent Flows (Paperback) Loot Price: R4,171
Discovery Miles 41 710
Modeling Approaches and Computational Methods for Particle-laden Turbulent Flows (Paperback): Shankar Subramaniam, S....

Modeling Approaches and Computational Methods for Particle-laden Turbulent Flows (Paperback)

Shankar Subramaniam, S. Balachandar

Series: Computation and Analysis of Turbulent Flows

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Loot Price R4,171 Discovery Miles 41 710 | Repayment Terms: R391 pm x 12*

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Modelling Approaches and Computational Methods for Particle-laden Turbulent Flows introduces the principal phenomena observed in applications where turbulence in particle-laden flow is encountered while also analyzing the main methods for analyzing numerically. The book takes a practical approach, providing advice on how to select and apply the correct model or tool by drawing on the latest research. Sections provide scales of particle-laden turbulence and the principal analytical frameworks and computational approaches used to simulate particles in turbulent flow. Each chapter opens with a section on fundamental concepts and theory before describing the applications of the modelling approach or numerical method. Featuring explanations of key concepts, definitions, and fundamental physics and equations, as well as recent research advances and detailed simulation methods, this book is the ideal starting point for students new to this subject, as well as an essential reference for experienced researchers.

General

Imprint: Academic Press Inc
Country of origin: United Kingdom
Series: Computation and Analysis of Turbulent Flows
Release date: October 2022
First published: 2023
Editors: Shankar Subramaniam • S. Balachandar
Dimensions: 229 x 152mm (L x W)
Format: Paperback
Pages: 586
ISBN-13: 978-0-323-90133-8
Categories: Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
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LSN: 0-323-90133-6
Barcode: 9780323901338

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