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Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers
This study investigates the motion characteristics of soft alginate microrobots in complex fluidic environments utilizing wireless magnetic fields for actuation. The aim is to explore the diverse motion modes that arise due to shear forces in viscoelastic fluids by employing snowman-shaped microrobo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301232/ https://www.ncbi.nlm.nih.gov/pubmed/37374794 http://dx.doi.org/10.3390/mi14061209 |
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author | Kararsiz, Gokhan Duygu, Yasin Cagatay Wang, Zhengguang Rogowski, Louis William Park, Sung Jea Kim, Min Jun |
author_facet | Kararsiz, Gokhan Duygu, Yasin Cagatay Wang, Zhengguang Rogowski, Louis William Park, Sung Jea Kim, Min Jun |
author_sort | Kararsiz, Gokhan |
collection | PubMed |
description | This study investigates the motion characteristics of soft alginate microrobots in complex fluidic environments utilizing wireless magnetic fields for actuation. The aim is to explore the diverse motion modes that arise due to shear forces in viscoelastic fluids by employing snowman-shaped microrobots. Polyacrylamide (PAA), a water-soluble polymer, is used to create a dynamic environment with non-Newtonian fluid properties. Microrobots are fabricated via an extrusion-based microcentrifugal droplet method, successfully demonstrating the feasibility of both wiggling and tumbling motions. Specifically, the wiggling motion primarily results from the interplay between the viscoelastic fluid environment and the microrobots’ non-uniform magnetization. Furthermore, it is discovered that the viscoelasticity properties of the fluid influence the motion behavior of the microrobots, leading to non-uniform behavior in complex environments for microrobot swarms. Through velocity analysis, valuable insights into the relationship between applied magnetic fields and motion characteristics are obtained, facilitating a more realistic understanding of surface locomotion for targeted drug delivery purposes while accounting for swarm dynamics and non-uniform behavior. |
format | Online Article Text |
id | pubmed-10301232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103012322023-06-29 Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers Kararsiz, Gokhan Duygu, Yasin Cagatay Wang, Zhengguang Rogowski, Louis William Park, Sung Jea Kim, Min Jun Micromachines (Basel) Article This study investigates the motion characteristics of soft alginate microrobots in complex fluidic environments utilizing wireless magnetic fields for actuation. The aim is to explore the diverse motion modes that arise due to shear forces in viscoelastic fluids by employing snowman-shaped microrobots. Polyacrylamide (PAA), a water-soluble polymer, is used to create a dynamic environment with non-Newtonian fluid properties. Microrobots are fabricated via an extrusion-based microcentrifugal droplet method, successfully demonstrating the feasibility of both wiggling and tumbling motions. Specifically, the wiggling motion primarily results from the interplay between the viscoelastic fluid environment and the microrobots’ non-uniform magnetization. Furthermore, it is discovered that the viscoelasticity properties of the fluid influence the motion behavior of the microrobots, leading to non-uniform behavior in complex environments for microrobot swarms. Through velocity analysis, valuable insights into the relationship between applied magnetic fields and motion characteristics are obtained, facilitating a more realistic understanding of surface locomotion for targeted drug delivery purposes while accounting for swarm dynamics and non-uniform behavior. MDPI 2023-06-07 /pmc/articles/PMC10301232/ /pubmed/37374794 http://dx.doi.org/10.3390/mi14061209 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kararsiz, Gokhan Duygu, Yasin Cagatay Wang, Zhengguang Rogowski, Louis William Park, Sung Jea Kim, Min Jun Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers |
title | Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers |
title_full | Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers |
title_fullStr | Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers |
title_full_unstemmed | Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers |
title_short | Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers |
title_sort | navigation and control of motion modes with soft microrobots at low reynolds numbers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301232/ https://www.ncbi.nlm.nih.gov/pubmed/37374794 http://dx.doi.org/10.3390/mi14061209 |
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