Enhancing Swimming Performance by Optimizing Structure of Helical Swimmers

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

  • Jiaqi Miao
  • Xiaolong Li
  • Bo Liang
  • Jiongzhe Wang
  • Xiaofei Xu

Detail(s)

Original languageEnglish
Article number494
Journal / PublicationSensors
Volume21
Issue number2
Online published12 Jan 2021
Publication statusPublished - Jan 2021
Externally publishedYes

Link(s)

Abstract

Untethered microrobots provide the prospect for performing minimally invasive surgery and targeted delivery of drugs in hard-to-reach areas of the human body. Recently, inspired by the way the prokaryotic flagella rotates to drive the body forward, numerous studies have been carried out to study the swimming properties of helical swimmers. In this study, the resistive force theory (RFT) was applied to analyze the influence of dimensional and kinematical parameters on the propulsion performance of conventional helical swimmers. The propulsion efficiency index was applied to quantitatively evaluate the swimming performance of helical swimmers. Quantitative analysis of the effect of different parameters on the propulsion performance was performed to optimize the design of structures. Then, RFT was modified to explore the tapered helical swimmers with the helix radius changing uniformly along the axis. Theoretical results show that the helical swimmer with a constant helix angle exhibits excellent propulsion performance. The evaluation index was found to increase with increased tapering, indicating that the tapered structures can produce more efficient motion. Additionally, the analysis method extended from RFT can be used to analyze the motion of special-shaped flagella in microorganisms.

Research Area(s)

  • biomimetic robots, resistive force theory (RFT), structure optimization, flagellar motion

Citation Format(s)

Enhancing Swimming Performance by Optimizing Structure of Helical Swimmers. / Miao, Jiaqi; Li, Xiaolong; Liang, Bo; Wang, Jiongzhe; Xu, Xiaofei.

In: Sensors, Vol. 21, No. 2, 494, 01.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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