Harnessing random low Reynolds number flow for net migration

Takeru Morita, Toshihiro Omori, Yohei Nakayama, Shoichi Toyabe, and Takuji Ishikawa
Phys. Rev. E 101, 063101 – Published 3 June 2020
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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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  • Received 29 June 2019
  • Accepted 18 May 2020

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

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsPolymers & Soft MatterPhysics of Living Systems

Authors & Affiliations

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

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Issue

Vol. 101, Iss. 6 — June 2020

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