The aim of writing in this monograph is to introduce a wider audience to the use of adaptive finite element methods with particular emphasis on practical engineering applications to computational fluid dynamics (CFD) design approaches for microfluidics. Nowadays, microfluidic applications spread out even widely throughout research and development activities for various types of MEMS, BioMEMS, or lab-on-a-chip devices. This monograph is to highlight three numerical modeling strategies of microfluidic devices through adaptive finite element methods and parallel computing. Although adaptive finite elements in general have been mature subject within their numerical and mathematical aspects, the techniques are still in its infant stage of addressing CFD design approaches for microfluidics. Hence, this monograph is to take a practical engineering approach to attack CFD design of microfluidics. The adaptive finite element methods, which is main topic in this monograph, naturally produce error estimations of its underlying numerical simulation and further improve numerical solutions by adapting meshes efficiently based on local error indicators given by their error estimations.
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The aim of writing in this monograph is to introduce a wider audience to the use of adaptive finite element methods with particular emphasis on practical engineering applications to computational fluid dynamics (CFD) design approaches for microfluidics. Nowadays, microfluidic applications spread out even widely throughout research and development activities for various types of MEMS, BioMEMS, or lab-on-a-chip devices. This monograph is to highlight three numerical modeling strategies of microfluidic devices through adaptive finite element methods and parallel computing. Although adaptive finite elements in general have been mature subject within their numerical and mathematical aspects, the techniques are still in its infant stage of addressing CFD design approaches for microfluidics. Hence, this monograph is to take a practical engineering approach to attack CFD design of microfluidics. The adaptive finite element methods, which is main topic in this monograph, naturally produce error estimations of its underlying numerical simulation and further improve numerical solutions by adapting meshes efficiently based on local error indicators given by their error estimations.
Dr. Hae-Won Choi received his Ph.D. degree from Mechanical Engineering at University of Toronto, Canada in 2005. Since 2001, he has conducted his research in fields of computational fluid dynamics (CFD), numerical modeling of microfluidics and high performance computing. Recently, he has extended his research interests to fuel cell technologies.
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Taschenbuch. Zustand: Neu. Neuware -The aim of writing in this monograph is to introduce a wider audience to the use of adaptive finite element methods with particular emphasis on practical engineering applications to computational fluid dynamics (CFD) design approaches for microfluidics. Nowadays, microfluidic applications spread out even widely throughout research and development activities for various types of MEMS, BioMEMS, or lab-on-a-chip devices. This monograph is to highlight three numerical modeling strategies of microfluidic devices through adaptive finite element methods and parallel computing. Although adaptive finite elements in general have been mature subject within their numerical and mathematical aspects, the techniques are still in its infant stage of addressing CFD design approaches for microfluidics. Hence, this monograph is to take a practical engineering approach to attack CFD design of microfluidics. The adaptive finite element methods, which is main topic in this monograph, naturally produce error estimations of its underlying numerical simulation and further improve numerical solutions by adapting meshes efficiently based on local error indicators given by their error estimations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 232 pp. Englisch. Artikel-Nr. 9783838302805
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Paperback. Zustand: Brand New. 232 pages. 8.66x5.91x0.53 inches. In Stock. Artikel-Nr. 383830280X
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