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    Harnessing random low Reynolds number flow for net migration

    Takeru Morita1, Toshihiro Omori1, Yohei Nakayama2, Shoichi Toyabe2, and Takuji Ishikawa1,3,*

    • 1Department of Fine Mechanics, Graduate School of Engineering, Tohoku University 6-6-01 Aoba, Aramaki, Aoba-ku, Sendai 980–8579, Japan
    • 2Department of Applied Physics, Graduate School of Engineering, Tohoku University 6-6-05 Aoba, Aramaki, Aoba-ku, Sendai 980–8579, Japan
    • 3Graduate School of Biomedical Engineering, Tohoku University 6-6-01 Aoba, Aramaki, Aoba-ku, Sendai 980–8579, Japan

    • *Corresponding author: ishikawa@bfsl.mech.tohoku.ac.jp

    Phys. Rev. E 101, 063101 – Published 3 June, 2020

    DOI: https://doi.org/10.1103/PhysRevE.101.063101

    Abstract

    Random noise in low Reynolds number flow has rarely been used to obtain net migration of microscale objects. In this study, we numerically show that net migration of a microscale object can be extracted from random directional fluid forces in Stokes flow, by introducing deformability and inhomogeneous density into the object. We also developed a mathematical framework to describe the deformation-induced migration caused by noise. These results provide a basis for understanding the noise-induced migration of a microswimmer and are useful for harnessing energy from low Reynolds number flow.

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