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s3311036

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Abstract       
Microfluidic mixing is an essential part of the process of microfluidic chip technology in the analysis, and micromixer has also become the key components of microfluidic chip analysis system. For DNA hybridization, protein folding and enzyme reaction, some biochemical processes need to react quickly to achieve on analysis and research has the vital significance. This study proposes a new fast design of the micromixer. In order to improve the mixing efficiency of the micromixer, a splitting and recombination (SAR) concept was employed to reduce the diffusion distance of the species. Moreover, diamond-like micropillar were introduced to this concept to increase the mixing performance of micromixer. We simulated the species mixing in a micromixer with diamond-like micropillar and traditional T-type micromixer in a laminar flow regime with COMSOL multiphysics 3.5a for computational fluid dynamics (CFD). The diamond-like micropillar was optimized by coupling artificial neural network (ANN) and CFD. Numerical results illustrate that the micromixer with SAR diamond-like concept achieves a very high mixing efficiency than T-type micromixer. Numerical results also show that the mixing efficiency of the SAR micromixer with diamond-like micropillar can be up to 99%, and that efficiency can reach rapidly 90% in a short channel distance.
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