4.7 Article

A low-Reynolds-number actuator driven by instability: rotating or oscillating

期刊

NONLINEAR DYNAMICS
卷 106, 期 3, 页码 2005-2019

出版社

SPRINGER
DOI: 10.1007/s11071-021-06846-w

关键词

Self-oscillation; Electro-hydrodynamic instability; Quincke rotation; bifurcation; Hysteresis; Fluid-structure interaction

资金

  1. National University of Singapore [R265-000-696-133]
  2. BUA-NUS Strategic Research Partnership for Global Health Initiative [R-265-000-A35-133]
  3. Ministry of Education of Singapore [RG143/20]

向作者/读者索取更多资源

Due to an electro-hydrodynamic instability, a dielectric spherical particle can exhibit steady rotation in an electric field. Recent works have shown that using an elastic structure can generate self-oscillations through elasto-electrohydrodynamic instability. Simulations of a low-Reynolds number actuator demonstrate multiple behaviors depending on various factors, with a reduced-order model capturing the dynamics. Linear stability analysis predicts instability onset in agreement with numerical results.
Due to an electro-hydrodynamic instability, a dielectric spherical particle immersed in a dielectric viscous solvent can exhibit steady rotation spontaneously (Quincke rotation) in a uniform steady electric field of sufficient strength. The recent works [Zhu and Stone, Phys Rev Fluids, 4(6):061701, 2019; Thu and Stone, J Fluid Mech, p 888, 2020; Han et al., Proc Nail Acad Sci USA, 118(29), 2021] have demonstrated using an elastic structure to tune that instability for generating self-oscillation via an elasto-electrohydrodynamic instability. Inspired by these studies, here, we use simulations to conceive a low-Reynoldsnumber actuator made of a dielectric spherical particle attached to an anchor via a flexible filament. We show that the actuator displays multiple behaviors: stationary, two modes of steady rotation, and a selfoscillatory motion, depending on the ratio (mu) over bar of the viscous over elastic forces, slenderness of the filament, and the strength of the electric field. The complex dependence is illustrated by bifurcation diagrams revealing multiple features of the dynamical system. We then develop a reduced-order model that captures the main features of the dynamics revealed by the full model. A linear stability analysis is also performed to predict the onset of instability of the model system, which agrees well with the numerical results.

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