LEADER 00975nam0-22003251i-450- 001 990000508300403321 005 20071012140139.0 010 $a3-540-09402-4 035 $a000050830 035 $aFED01000050830 035 $a(Aleph)000050830FED01 035 $a000050830 100 $a20020821d1980----km-y0itay50------ba 101 0 $aeng 105 $aa-------001yy 200 1 $a<>Monte Carlo methods in atmospheric optics$fby G.I. Marchuk ... [et al.] 210 $aBerlin ; Heidelberg$cSpringer-Verlag$d1980 215 $a208 p.$cill.$d23 cm 225 1 $aSpringer series in optical sciences$v12 610 0 $aOttica meteorologica 610 0 $aMetodo Monte Carlo 676 $a551.527 702 1$aMarcuk,$bGurij Ivanovic 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000508300403321 952 $a10 B III 309$bL/191 CNR$fDINEL 959 $aDINEL 996 $aMonte Carlo methods in atmospheric optics$9330689 997 $aUNINA LEADER 04775nam 2200397 450 001 9910765841503321 005 20230323171322.0 010 $a3-03897-008-5 035 $a(CKB)5400000000000105 035 $a(NjHacI)995400000000000105 035 $a(EXLCZ)995400000000000105 100 $a20230323d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPassive micromixers /$fedited by Kwang-Yong Kim, Mubashshir A. Ansari, Arshad Afzal 210 1$aBasel, Switzerland :$cMDPI,$d[2018] 210 4$dİ2018 215 $a1 online resource (174 pages) $cillustrations 320 $aIncludes bibliographical references. 327 $aAbout the Special Issue Editors . vii -- Arshad Afzal, Mubashshir A. Ansari and Kwang-Yong Kim Editorial for the Special Issue on Passive Micromixers Reprinted from: Micromachines 2018, 9, 250, doi: 10.3390/mi9050250 . 1 -- Muhammad Usman Javaid, Taqi Ahmad Cheema and Cheol Woo Park Analysis of Passive Mixing in a Serpentine Microchannel with Sinusoidal Side Walls Reprinted from: Micromachines 2018, 9, 8, doi: 10.3390/mi9010008 3 -- Joshua Clark, Miron Kaufman and Petru S. Fodor Mixing Enhancement in Serpentine Micromixers with a Non-Rectangular Cross-Section Reprinted from: Micromachines 2018, 9, 107, doi: 10.3390/mi9030107 . 18 -- Mubashshir Ahmad Ansari, Kwang-Yong Kim and Sun Min Kim Numerical and Experimental Study on Mixing Performances of Simple and Vortex Micro T-Mixers Reprinted from: Micromachines 2018, 9, 204, doi: 10.3390/mi9050204 . 29 -- Dongyang Wang, Dechun Ba, Kun Liu, Ming Hao, Yang Gao, Zhiyong Wu and Qi Mei A Numerical Research of Herringbone Passive Mixer at Low Reynold Number Regime Reprinted from: Micromachines 2017, 8, 325, doi: 10.3390/mi8110325 . 43 -- Mahmut Burak Okuducu and Mustafa M. Aral Performance Analysis and Numerical Evaluation of Mixing in 3-D T-Shape Passive Micromixers Reprinted from: Micromachines 2018, 9, 210, doi: 10.3390/mi9050210 . 56 -- Nita Solehati, Joonsoo Bae and Agus P. Sasmito Optimization of Wavy-Channel Micromixer Geometry Using Taguchi Method ? Reprinted from: Micromachines 2018, 9, 70, doi: 10.3390/mi9020070 . 84 -- Wasim Raza, Sang-Bum Ma and Kwang-Yong Kim Multi-Objective Optimizations of a Serpentine Micromixer with Crossing Channels at Low and High Reynolds Numbers Reprinted from: Micromachines 2018, 9, 110, doi: 10.3390/mi9030110 . 98 -- Yuchen Guo, Yifan Xu, Yongbo Deng and Zhenyu Liu Topology Optimization of Passive Micromixers Based on Lagrangian Mapping Method Reprinted from: Micromachines 2018, 9, 137, doi: 10.3390/mi9030137 . 116 -- Chao Shan, Feng Chen, Qing Yang, Zhuangde Jiang and Xun Hou 3D Multi-Microchannel Helical Mixer Fabricated by Femtosecond Laser inside Fused Silica Reprinted from: Micromachines 2018, 9, 29, doi: 10.3390/mi9010029 . 131 -- Gaozhe Cai, Li Xue, Huilin Zhang and Jianhan Lin A Review on Micromixers Reprinted from: Micromachines 2017, 8, 274, doi: 10.3390/mi8090274 . 138. 330 $aMicro-total analysis systems and lab-on-a-chip platforms are widely used for sample preparation and analysis, drug delivery, and biological and chemical syntheses. A micromixer is an important component in these applications. Rapid and efficient mixing is a challenging task in the design and development of micromixers. The flow in micromixers is laminar, and, thus, the mixing is primarily dominated by diffusion. Recently, diverse techniques have been developed to promote mixing by enlarging the interfacial area between the fluids or by increasing the residential time of fluids in the micromixer. Based on their mixing mechanism, micromixers are classified into two types: active and passive. Passive micromixers are easy to fabricate and generally use geometry modification to cause chaotic advection or lamination to promote the mixing of the fluid samples, unlike active micromixers, which use moving parts or some external agitation/energy for the mixing. Many researchers have studied various geometries to design efficient passive micromixers. Recently, numerical optimization techniques based on computational fluid dynamic analysis have been proven to be efficient tools in the design of micromixers. The current Special Issue covers new mechanisms, design, numerical and/or experimental mixing analysis, and design optimization of various passive micromixers. 606 $aMixing 615 0$aMixing. 676 $a660.284292 702 $aKim$b Kwang-Yong 702 $aAnsari$b Mubashshir A. 702 $aAfzal$b Arshad 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910765841503321 996 $aPassive micromixers$93648001 997 $aUNINA