Wave propagation in a basally-actuated robotic filament

ORAL

Abstract

Breaking of time-reversal symmetry is necessary for drag-based propulsion at low Reynolds number. Many eukaryotes self-propel using active filaments (particularly cilia), which propagate asymmetric beat patterns though the fluid due to the coordinated action of dynein motors. For a flexible passive filament however, purely basal actuation is generally thought to be insufficient to achieve the large-amplitude bending waves observed in biological cilia. However, in the context of engineering applications, the actuation of filaments via an applied oscillating torque at the proximal end is an effective and parsimonious design. Here we present a simple realisation of enhanced wave propagation in a macroscale robophysical model of a cilium. The artificial cilium, about 5cm in length, beats in a high viscosity fluid to recover low Reynolds number fluid mechanics. Building on previous designs (Diaz et al, 2021), our robotic cilium consists of multiple passive rigid segments connected by hinges and is symmetrically driven by a basal motor. By introducing mechanically asymmetrical hinges, we produce an asymmetrical beat pattern from purely symmetric basal driving. We investigate the effect of link-number on the beat pattern, and compare the resulting waveforms with predictions from a theoretical and computational model of a proximally-driven filament with differential bending stiffness. Finally, we investigate the hydrodynamic pairwise interaction of two cilia.

* Company of Biologists Travelling Fellowship (RNP). European Research Council under the European Union's Horizon 2020 research and innovation programme grant 853560 Evomotion (KYW).

Presenters

  • Rebecca N Poon

    University of Exeter

Authors

  • Rebecca N Poon

    University of Exeter

  • Clément Moreau

    Kyoto University

  • Benjamin Walker

    University of Bath

  • Daniel Soto

    Georgia Institute of Technology, Georgia Tech

  • Christopher J Pierce

    Georgia Institute of Technology

  • Eamonn Gaffney

    University of Oxford

  • Daniel I Goldman

    Georgia Tech

  • Kirsty Y Wan

    University of Exeter