A novel study on a micromixer with Cantor fractal obstacle through grey relational analysis

This paper proposes a multi-objective optimization method for a micromixer with Cantor fractal baffles through grey relational analysis, and evaluates the comprehensive performance of the micromixer through two aspects. The height of the baffle (h), the distance of the baffle (p), the width of the microchannel (L) and the height of the microchannel (H) are selected as design variables, and the orthogonal experiment table L-16 (4(4)) is obtained. The optimized performance characteristics take into account the mixing index and Poiseuille number. Numerical simulations are used to obtain the results of each experimental design group. We use the grey relational degree as an index to evaluate the comprehensive performance of the multi-objective of the micromixer, and optimize to find a set of optimal design variables. Finally, we judge the influence of the four design variables on the two performance characteristics respectively, so as to obtain the importance of different design variables. The results show that the optimized micromixer, namely CFM-11, has a maximum increase of 23.75% in mixing index and a maximum decrease in Poiseuille number of 34.40%. Among all the parameters, the h and the L have a greater impact on the performance characteristics. This work can provide a good analysis method for multi-objective research and structural optimization related to micromixers. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

This paper presents a multi-objective optimization method for a micromixer with Cantor fractal baffles using grey relational analysis. The comprehensive performance of the micromixer is evaluated through two aspects. Design variables are selected, and an orthogonal experiment table is obtained. The optimized micromixer shows significant improvements in both mixing index and Poiseuille number.