2019
DOI: 10.1007/s10404-019-2201-6
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Optimization of passive grooved micromixers based on genetic algorithm and graph theory

Abstract: This paper proposes a novel approach for fluid topology optimization using genetic algorithm. In this study, the enhancement of mixing in the passive micromixers is considered. The efficient mixing is achieved by the grooves attached on the bottom of the microchannel and the optimal configuration of grooves is investigated. The grooves are represented based on the graph theory. The mixing performance is analyzed by a CFD solver and the exploration by genetic algorithm is assisted by the Kriging model to reduce… Show more

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Cited by 28 publications
(7 citation statements)
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“…The present topology optimization treats each effective entry of the adjacent matrix as the ith design variable x i ( i = 1, 2, … , 68 ). Each design variable is defined in the range of 0 ≤ x i ≤ 1 , such that the corresponding edge is absent if 0 ≤ x i ≤ 0.2 and present if 0.2 < x i ≤ 1 according to Yoshimura et al (2019), who used the graph theory to optimize the groove structure of a flow micromixer. The present design variables need to be continuous for a surrogate model used in Bayesian optimization.…”
Section: Design Variables Via Graph Theorymentioning
confidence: 99%
“…The present topology optimization treats each effective entry of the adjacent matrix as the ith design variable x i ( i = 1, 2, … , 68 ). Each design variable is defined in the range of 0 ≤ x i ≤ 1 , such that the corresponding edge is absent if 0 ≤ x i ≤ 0.2 and present if 0.2 < x i ≤ 1 according to Yoshimura et al (2019), who used the graph theory to optimize the groove structure of a flow micromixer. The present design variables need to be continuous for a surrogate model used in Bayesian optimization.…”
Section: Design Variables Via Graph Theorymentioning
confidence: 99%
“…For example, Hossain et al [ 19 ] optimized a micromixer with staggered herringbone grooves on the top and bottom walls using the mixing index and friction factor as objective functions. Yoshimura et al [ 20 ] used a topology optimization method with a surrogate-assisted genetic algorithm and applied it to a staggered herringbone micromixer. They evaluated how the combination of grooves with different geometric aspects and the number of grooves affected the mixing performance.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the driving force for mixing, the micromixers can be of an active or a passive type. The advantages of passive type mixers are that their fabrication is relatively simple and they do not require any external means for moving or agitating the fluids [6,10,11]. In passive mixers, laminar flow conditions usually prevail and the molecular diffusion, in addition to the mass convection, is an important mechanism that governs mixing.…”
Section: Introductionmentioning
confidence: 99%