Hydrodynamic Impedance of Bacteria and Bacteria-Inspired Micro-Swimmers: A New Strategy to Predict Power Consumption of Swimming Micro-Robots for Real-Time Applications


Tabak A. F.

Advanced Theory and Simulations, cilt.1, sa.4, 2018 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 1 Sayı: 4
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1002/adts.201700013
  • Dergi Adı: Advanced Theory and Simulations
  • Derginin Tarandığı İndeksler: Scopus
  • Anahtar Kelimeler: bio-inspired robotics, computational fluid dynamics, fluid-structure interactions, hydrodynamic impedance, resistive force theory
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

Power supply is one of the key issues with bio-inspired micro-robots for therapeutic applications. There have been different approaches to predict the hydrodynamic behavior of such systems, most of which are based on the low-Reynolds-number approximation of the surrounding flow field, also known as the Stokes flow. However, it has been long debated that the Stokes-flow approach without corrections for hydrodynamic interactions is inadequate in explaining the dynamics of a particle, even a blunt sphere, following a non-trivial path subject to spatial and temporal variations. A cargo being towed by a rotating helical tail presents an even more complicated problem which can only be appreciated by numerical solutions of time-dependent Navier–Stokes equations incorporated with rigid-body dynamics. In this study, such a solution scheme is presented for the six degrees of freedom motion of both bacteria and bacteria-inspired micro-robots, swimming in backward or forward direction. Furthermore, the analysis is extended to characterize the impedance coefficients via parameterized wave geometry. Thus, it is demonstrated that the resistive force theory can be improved to predict time-dependent fluid resistance acting on bio-inspired micro-swimmers via hydrodynamic impedance-based corrections, allowing accurate calculation of required power to achieve desired actuation strategies.