LEADER 03131nam 22005775 450 001 9910483639403321 005 20251113185143.0 010 $a981-334-291-9 024 7 $a10.1007/978-981-33-4291-0 035 $a(CKB)4100000011645130 035 $a(DE-He213)978-981-33-4291-0 035 $a(MiAaPQ)EBC6421909 035 $a(PPN)252515838 035 $a(EXLCZ)994100000011645130 100 $a20201207d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and Design Optimization of Micromixers /$fby Arshad Afzal, Kwang-Yong Kim 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (X, 65 p. 41 illus., 20 illus. in color.) 225 1 $aSpringerBriefs in Computational Mechanics,$x2191-5350 311 08$a981-334-290-0 327 $a1. Mixing at Microscale -- 2. Active and Passive micromixers. -3. Computational analysis of flow and mixing in micromixers. -4. Design optimization of micromixers -- 5. Conclusion. 330 $aThis book illustrates the computational framework based on knowledge of flow and mass transfer together with optimization techniques to solve problems relevant to micromixing technology. The authors provide a detailed analysis of the different numerical techniques applied to the design of micromixers. Flow and mixing analysis is based on both the Eulerian and Lagrangian approaches; relative advantages and disadvantages of the two methods and suitability to different types of mixing problems are analysed. The book also discusses the various facets of numerical schemes subjected to discretization errors and computational grid requirements. Since a large number of studies are based on commercial computational fluid dynamics (CFD) packages, relevant details of these packages to the mixing problem using them are presented. Numerical optimization techniques coupled with CFD analysis of flow and mixing have proved to be an important tool for micromixers design, and therefore, are animportant part of the book. These techniques are presented briefly, and focus is on surrogate modeling and optimization applied to design of micromixers. 410 0$aSpringerBriefs in Computational Mechanics,$x2191-5350 606 $aSoft condensed matter 606 $aFluid mechanics 606 $aContinuum mechanics 606 $aSoft and Granular Matter 606 $aEngineering Fluid Dynamics 606 $aContinuum Mechanics 615 0$aSoft condensed matter. 615 0$aFluid mechanics. 615 0$aContinuum mechanics. 615 14$aSoft and Granular Matter. 615 24$aEngineering Fluid Dynamics. 615 24$aContinuum Mechanics. 676 $a660.284292 700 $aAfzal$b Arshad$01230140 702 $aKim$b Kwang-yo?ng 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483639403321 996 $aAnalysis and design optimization of micromixers$92855480 997 $aUNINA