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Titlebook: Computational Fluid Dynamics for Engineers and Scientists; Sreenivas Jayanti Textbook 2018 Springer Science+Business Media B.V. 2018 CFD a

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书目名称Computational Fluid Dynamics for Engineers and Scientists
编辑Sreenivas Jayanti
视频video
概述Offers a comprehensive treatment of all aspects of CFD focusing on concepts.Includes discussion of derivation of equations, grid generation and solution algorithms for compressible, incompressible and
图书封面Titlebook: Computational Fluid Dynamics for Engineers and Scientists;  Sreenivas Jayanti Textbook 2018 Springer Science+Business Media B.V. 2018 CFD a
描述.This book offers a practical, application-oriented introduction to computational fluid dynamics (CFD), with a focus on the concepts and principles encountered when using CFD in industry...Presuming no more knowledge than college-level understanding of the core subjects, the book puts together all the necessary topics to give the reader a comprehensive introduction to CFD. It includes discussion of the derivation of equations, grid generation and solution algorithms for compressible, incompressible and hypersonic flows. The final two chapters of the book are intended for the more advanced user. In the penultimate chapter, the special difficulties that arise while solving practical problems are addressed. Distinction is made between complications arising out of geometrical complexity and those arising out of the complexity of the physics (and chemistry) of the problem. The last chapter contains a brief discussion of what can be considered as the Holy Grail of CFD, namely, finding the optimal design of a fluid flow component. A number of problems are given at the end of each chapter to reinforce the concepts and ideas discussed in that chapter..CFD has come of age and is widely used
出版日期Textbook 2018
关键词CFD and energy applications; CFD case studies; Computation of non-isothermal, multiphase flows; Computa
版次1
doihttps://doi.org/10.1007/978-94-024-1217-8
isbn_softcover978-94-024-1511-7
isbn_ebook978-94-024-1217-8
copyrightSpringer Science+Business Media B.V. 2018
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Application to Signal Processing,dequately accurate. We have also seen that implicit schemes have higher stability and these are invariably used in the algorithms such as the Beam-Warming method (Sect. .) and the SIMPLE scheme (Sect. .) for the solution of Navier-Stokes equations.
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Nonconvex Optimization and Its ApplicationsIn this chapter, we derive the basic equations that govern the flow of fluids. We examine the nature of these equations and discuss appropriate boundary and initial conditions that are needed to complete the mathematical description of fluid flow.
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