推进
航空航天工程
航空学
工程类
计算机科学
物理
作者
Luca Berti,Mickaël Binois,François Alouges,Matthieu Aussal,Christophe Prud'Homme,Laetitia Giraldi
出处
期刊:Le Centre pour la Communication Scientifique Directe - HAL - Diderot
日期:2021-03-11
摘要
In this paper we are interested in optimizing the shape of multi-flagellated helical microswimmers. Mimicking the propagation of helical waves along the flagella, they self-propel by rotating their tails. The swimmer's dynamics is computed using the Boundary Element Method, implemented in the open source Matlab library $Gypsilab$. We exploit a Bayesian optimization algorithm to maximize the swimmer's speeds through their shape optimization. Our results show that the optimal tail shapes are helices with large wavelength, such that the shape periodicity is disregarded. Moreover, the best propulsion speed is achieved for elongated heads when the swimmer has one or two flagella. Surprisingly, a round head is obtained when more flagella are considered. Our results indicate that the position and number of flagella modify the propulsion pattern and play a significant role in the optimal design of the head. It appears that Bayesian optimization is a promising method for performance improvement in microswimming.
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