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Analysis and design optimization of ...

Kim, Kwang-Yong.

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Analysis and design optimization of micromixers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis and design optimization of micromixers/ by Arshad Afzal, Kwang-Yong Kim.
Author:	Afzal, Arshad.
other author:	Kim, Kwang-Yong.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	x, 65 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Mixing at Microscale -- 2. Active and Passive micromixers. -- 3. Computational analysis of flow and mixing in micromixers. -- 4. Design optimization of micromixers -- 5. Conclusion.
Contained By:	Springer Nature eBook
Subject:	Mixing. -
Online resource:	https://doi.org/10.1007/978-981-33-4291-0
ISBN:	9789813342910

Analysis and design optimization of micromixers
Afzal, Arshad.

Analysis and design optimization of micromixers[electronic resource] /by Arshad Afzal, Kwang-Yong Kim. - Singapore :Springer Singapore :2021. - x, 65 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational mechanics,2191-5342. - SpringerBriefs in applied sciences and technology.Computational mechanics..

1. Mixing at Microscale -- 2. Active and Passive micromixers. -- 3. Computational analysis of flow and mixing in micromixers. -- 4. Design optimization of micromixers -- 5. Conclusion.

This book illustrates the computational framework based on knowledge of flow and mass transfer together with optimization techniques to solve problems relevant to micromixing technology. The authors provide a detailed analysis of the different numerical techniques applied to the design of micromixers. Flow and mixing analysis is based on both the Eulerian and Lagrangian approaches; relative advantages and disadvantages of the two methods and suitability to different types of mixing problems are analysed. The book also discusses the various facets of numerical schemes subjected to discretization errors and computational grid requirements. Since a large number of studies are based on commercial computational fluid dynamics (CFD) packages, relevant details of these packages to the mixing problem using them are presented. Numerical optimization techniques coupled with CFD analysis of flow and mixing have proved to be an important tool for micromixers design, and therefore, are an important part of the book. These techniques are presented briefly, and focus is on surrogate modeling and optimization applied to design of micromixers.

ISBN: 9789813342910

Standard No.: 10.1007/978-981-33-4291-0doiSubjects--Topical Terms:

620078
Mixing.

LC Class. No.: TA357.5.M59

Dewey Class. No.: 620.1064

Analysis and design optimization of micromixers
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100 1 $a Afzal, Arshad. $3 3488390
245 1 0 $a Analysis and design optimization of micromixers $h [electronic resource] / $c by Arshad Afzal, Kwang-Yong Kim.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a x, 65 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology. Computational mechanics, $x 2191-5342
505 0 $a 1. Mixing at Microscale -- 2. Active and Passive micromixers. -- 3. Computational analysis of flow and mixing in micromixers. -- 4. Design optimization of micromixers -- 5. Conclusion.
520 $a This book illustrates the computational framework based on knowledge of flow and mass transfer together with optimization techniques to solve problems relevant to micromixing technology. The authors provide a detailed analysis of the different numerical techniques applied to the design of micromixers. Flow and mixing analysis is based on both the Eulerian and Lagrangian approaches; relative advantages and disadvantages of the two methods and suitability to different types of mixing problems are analysed. The book also discusses the various facets of numerical schemes subjected to discretization errors and computational grid requirements. Since a large number of studies are based on commercial computational fluid dynamics (CFD) packages, relevant details of these packages to the mixing problem using them are presented. Numerical optimization techniques coupled with CFD analysis of flow and mixing have proved to be an important tool for micromixers design, and therefore, are an important part of the book. These techniques are presented briefly, and focus is on surrogate modeling and optimization applied to design of micromixers.
650 0 $a Mixing. $3 620078
650 0 $a Flow chemistry. $3 2147715
650 0 $a Mass transfer. $3 551830
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Soft and Granular Matter, Complex Fluids and Microfluidics. $3 1067106
650 2 4 $a Engineering Fluid Dynamics. $3 891349
650 2 4 $a Fluid- and Aerodynamics. $3 1066670
700 1 $a Kim, Kwang-Yong. $3 3488391
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a SpringerBriefs in applied sciences and technology. $p Computational mechanics. $3 1566033
856 4 0 $u https://doi.org/10.1007/978-981-33-4291-0
950 $a Chemistry and Materials Science (SpringerNature-11644)