Numerical Modeling and Parametric Optimization of Micromixer for Low Diffusivity Fluids
Numerical Modeling and Parametric Optimization of Micromixer for Low Diffusivity Fluids
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DOI：
10.1515/ijcre-2016-0231
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发表时间：
2018-03-01
影响因子：
1.6
通讯作者：
Sudharsan, N. M.
中科院分区：
文献类型：
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作者：
Karthikeyan, K.;Sujatha, L.;Sudharsan, N. M.
本文研究了用于医学诊断的芯片实验室（Lab on Chip，简称ICIC）中的微混合器的设计、分析和优化。由于流动是层流且横截面积是微尺度的，粘性力很强，导致流体以最小扩散的流线输送。设计微混合器的主要目标是以最小的通道长度和压降实现完全混合。在这项工作中，被动微混合器与两个入口和一个出口（Y形被动微混合器）的障碍物在不同的形状和尺寸的建模，以研究混合效果。在CFD分析之后，对3参数3（K）设计和4参数2（K）设计进行方差分析（ANOVA），以研究参数对混合指数（混合长度）和压力损失的影响。当改变参数时，混合长度和压力损失的响应之间存在负相关关系。这使得难以预测最佳配置。利用田口方法得到了克服这种负相关性的最佳构型。
This paper deals with the design, analysis and optimization of micro-mixer for fluids having very low diffusivity (in the order of 10(-12) m(2)/s) to be used in Lab on Chip (LOC) for medical diagnosis. As flow is laminar and the cross-sectional area is in microscale, the viscous forces are strong causing the fluids to be transported in streamline with minimum diffusion. The main objective in designing a micro mixer is to achieve complete mixing with minimum channel length and pressure drop. In this work a passive micro mixer with two inlets and one outlet (Y shaped passive micro mixer) with obstacles in various shapes and sizes is modelled, to study the effect of mixing. After a CFD analysis, Analysis of variance (ANOVA) of 3(K) design with 3 parameters as well as a 2(K) design with 4 parameters was performed to study the effect of parameters on mixing index (mixing length) and pressure loss. There is a negative correlation between the response obtained for mixing length and pressure loss while varying the parameters. This makes it difficult to predict the optimum configuration. Taguchi method is used to obtain an optimum configuration to overcome this negative correlatiozn.