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Numerical simulation of the efficiency of mixing in heterogeneous microchannels with patterned surface potentials

Numerical simulation of the efficiency of mixing in heterogeneous microchannels with patterned surface potentials

作     者:ZHANG Kai~1, LIN Jianzhong~ 1,2 ** and LI Huijun~1(1. State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China 2. China Jiliang University, Hangzhou 310018, China) 

作者机构:State Key Laboratory of Fluid Power Transmission and Control Zhejiang University Hangzhou 310027 China China Jiliang University Hangzhou 310018 China 

出 版 物:《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))

年 卷 期:2006年第16卷第12期

页      面:1322-1328页

核心收录:

学科分类:080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学(可授工学、理学学位)] 

基  金:Supported by National Natural Science Foundation of China (Grant No .10372090) 

主  题:microchannel mixing efficiency electroosmosis numerical simulation. 

摘      要:The mixing of samples in heterogeneous microchannels with a periodically stepwise surface potential was analyzed numerically using the control volume method. The equations describing the wall potential and external potential were solved first to get the distribution of wall potential and external potential, respectively, then the momentum equation was solved to get the developed flow field. Finally, the mass transport equation was solved to get the concentration field. The simulation results show that the distribution of samples at the inlet of the microchannel determines its theoretical value of concentration, therefore, the pattern of the distribution of samples at the inlet and its corresponding velocity can be changed to get the desirable concentration of solute. The heterogeneous wall potential almost has no effect on the mixing of samples in two-inlet microfluidic devices. For three-inlet microfluidic devices, the comprehensive ability of transportation and mixing has an optimization when the ratio of periodic length of wall potential to the height of the microchannel is about 4.88. The above conclusions are helpful to the optimization of the design of microfluidic devices.

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