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Models, Methods, and Materials for Untethered Swimming Robots at Low...
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Models, Methods, and Materials for Untethered Swimming Robots at Low Reynolds Number

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 2109

Special Issue Editors

Prof. Dr. Inés Tejado

E-Mail Website
Chief Guest Editor
Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain
Interests: fractional order control; flexible robotics; bioengineering applications
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Blas M. Vinagre

E-Mail Website
Guest Editor
Industrial Engineering School, University of Extremadura, Av. Elvas s/n, 06006 Badajoz, Spain
Interests: fractional calculus; control theory and applications; mobile and flexible robotics; microrobotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The study of nano/micro-scale swimmers has attracted considerable attention in recent years because of their potential applications in a wide range of research fields, such as targeted drug delivery, minimally invasive surgery, biosensors, medical imaging, and environmental remediation. However, working at such scales involves many challenges with respect to functionality, manipulation, biocompatibility, biodegradability, and fabrication efficiency, among others.

This Special Issue seeks to showcase research articles addressing significant issues and contributing towards the development of new models, methods, and materials for untethered swimming robots navigating at low Reynolds number environments. Review articles describing the current state-of-the-art are also welcome.

Potential topics include but are not limited to the following:

  • Navigation at low Reynolds number;
  • Purcell-type nano/microswimmers;
  • Helical-type nano/microswimmers;
  • New propulsion methods or control for untethered swimming robots;
  • New fabrication methods for untethered swimming robots;
  • New materials for untethered swimming robots;
  • Propulsion efficiency.

Prof. Dr. Inés Tejado
Prof. Dr. Blas M. Vinagre
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Swimming robots
  • Microrobotics
  • Nanorobotics
  • Microtechnology
  • Nanotechnology
  • Biomedical
  • Low Reynolds number

Published Papers (1 paper)

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Research

17 pages, 1722 KiB  
Article
Purcell’s Three-Link Swimmer: Assessment of Geometry and Gaits for Optimal Displacement and Efficiency
by Cristina Nuevo-Gallardo, José Emilio Traver, Inés Tejado and Blas M. Vinagre
Mathematics 2021, 9(10), 1088; https://doi.org/10.3390/math9101088 - 12 May 2021
Cited by 2 | Viewed by 1738
Abstract
This paper studies the displacement and efficiency of a Purcell’s three-link microswimmer in low Reynolds number regime, capable of moving by the implementation of a motion primitive or gait. An optimization is accomplished attending to the geometry of the swimmer and the motion [...] Read more.
This paper studies the displacement and efficiency of a Purcell’s three-link microswimmer in low Reynolds number regime, capable of moving by the implementation of a motion primitive or gait. An optimization is accomplished attending to the geometry of the swimmer and the motion primitives, considering the shape of the gait and its amplitude. The objective is to find the geometry of the swimmer, amplitude and shape of the gaits which make optimal the displacement and efficiency, in both an individual way and combined (the last case will be referred to as multiobjective optimization). Three traditional gaits are compared with two primitives proposed by the authors and other three gaits recently defined in the literature. Results demonstrate that the highest displacement is obtained by the Tam and Hosoi optimal velocity gait, which also achieves the best efficiency in terms of energy consumption. The rectilinear and Tam and Hosoi optimal efficiency gaits are the second optimum primitives. Regarding the multiobjective optimization and considering the two criteria with the same weight, the optimum gaits turn out to be the rectilinear and Tam and Hosoi optimal efficiency gaits. Thus, the conclusions of this study can help designers to select, on the one hand, the best swimmer geometry for a desired motion primitive and, on the other, the optimal method of motion for trajectory tracking for such a kind of Purcell’s swimmers depending on the desired control objective. Full article
(This article belongs to the Special Issue Models, Methods, and Materials for Untethered Swimming Robots at Low Reynolds Number)
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