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Numerical Analysis On The Influence Factors Of Velocity Profile In Microfluidic

Posted on:2007-12-30Degree:MasterType:Thesis
Country:ChinaCandidate:H ChenFull Text:PDF
GTID:2178360212471528Subject:Biomedical engineering
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Microfluidic chips technology is becoming a hotspot study ofμTAS. We can group Microfluidic chips into separator, detector, reactor, mixer according to function. The capability of microfluidic chips is close with velocity profile of microfluidic. Various factors influence on micro fluidic velocity profile. As for Microchannel, there are three important factors, the size of Microchannel and the shape of cross-section, the crook of Microchannel, the roughness of Microchannel surface. The paper presents the factors influence on Microfluidic velocity profile through numeric simulation.1. Influence of the Microchannel size and cross-section shape: Chiefly analyses influence of different sizes of Microchannel, and the distinction of velocity profile in square, circular, and equilateral triangle shaped Microchannel. The result shows that acuity appears from 15μm to 30μm, depending on the Microchannel cross-section, not on the Microchannel size. And the velocity boundary will be fastest in equilateral triangle shaped Microchannel.2. Influence of the Microchannel crook: Simulate the difference of velocity profile between different angles and diameters. In this paper, we optimized the control of velocity through change the electroosmosis power. Reversely jointing two crooks with same angle can produce better result of velocity profile.3. Influence of the surface roughness inside the Microchannel: Chiefly analyses influence of semicircular and triangle granule on Microfluidic velocity profile. The distance between granules less than 5μm can influence velocity profile obviously.In brief, Microfluidic velocity profile is a focus in Microfluidic study. This paper studies on the influence factors of Microfluidic velocity profile from three aspects, the size of Microchannel and the shape of cross-section, the crook of Microchannel, the roughness of Microchannel surface through numerical simulation. Through the simulation we find that equilateral triangle Microchannel produce greatest affection on Microfluidic momentum. In single crook we change the density of charge in crook to adjust the velocity profile. Otherwise we joint two reverse crooks also can get better velocity profile. Triangle granules in rough Microchannel produce less affection on Microfluidic than semi-circle granules. Those conclusions afford benefit for designing of Microchannel and operation of experiment.
Keywords/Search Tags:Microfluidic chips, velocity profile, crook, roughness, Microchannel
PDF Full Text Request
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