Induced charge electro osmotic mixer: Obstacle shape optimization

被引:39
作者
Jain, Mranal [1 ]
Yeung, Anthony [1 ]
Nandakumar, K. [2 ]
机构
[1] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2V4, Canada
[2] Petr Inst, Chem Engn Program, Abu Dhabi, U Arab Emirates
来源
BIOMICROFLUIDICS | 2009年 / 3卷 / 02期
关键词
bioMEMS; electrophoresis; genetic algorithms; microchannel flow; osmosis; ON-A-CHIP; MICROFLUIDICS; FLOW; ELCTROOSMOSIS; SURFACE; MICROCHANNELS; PARTICLES; PAIR;
D O I
10.1063/1.3167279
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Efficient mixing is difficult to achieve in miniaturized devices due to the nature of low Reynolds number flow. Mixing can be intentionally induced, however, if conducting or nonconducting obstacles are embedded within the microchannel. In the case of conducting obstacles, vortices can be generated in the vicinity of the obstacle due to induced charge electro-osmosis (ICEO) which enhances mixing of different streams: the obstacle shape affects the induced zeta potential on the conducting surface, which in turn influences the flow profile near the obstacle. This study deals with optimization of the geometric shape of a conducting obstacle for the purpose of micromixing. The obstacle boundary is parametrically represented by nonuniform rational B-spline curves. The optimal obstacle shape, which maximizes the mixing for given operating conditions, is found using genetic algorithms. Various case studies at different operating conditions demonstrated that the near right triangle shape provides optimal mixing in the ICEO flow dominant regime, whereas rectangular shape is the optimal shape in diffusion dominant regime. The tradeoff between mixing and transport is examined for symmetric and nonsymmetric obstacle shapes.
引用
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页数:15
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