장애물을 이용한 Y-채널 마이크로믹서의 최적설계

초록

Mixing between independent fluids is of significant importance in microfluidics applications. However, efficient mixing is hampered by comparatively slow molecular diffusion process at this micro-scale. In the present study, in order to enhance the mixing efficiency, the configuration of obstacles in the Y-channel micromixer is optimized using an approximate optimization technique. Before optimization, mixing characteristics is analyzed by an unstructured grid CFD simulation. The meta model of the mixer configurations is proposed using the analysis method and neural network theory. Sequential Quadratic Programming(SQP) method is applied to the optimization procedure. Through these procedures, the parameters of configuration such as the radii and locations of obstacles are optimized.

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