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Dynamically Tunable Friction via Subsurface Stiffness Modulation

Currently soft robots primarily rely on pneumatics and geometrical asymmetry to achieve locomotion, which limits their working range, versatility, and other untethered functionalities. In this paper, we introduce a novel approach to achieve locomotion for soft robots through dynamically tunable fric...

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Autores principales: Sharifi, Siavash, Rux, Caleb, Sparling, Nathaniel, Wan, Guangchao, Mohammadi Nasab, Amir, Siddaiah, Arpith, Menezes, Pradeep, Zhang, Teng, Shan, Wanliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281354/
https://www.ncbi.nlm.nih.gov/pubmed/34277718
http://dx.doi.org/10.3389/frobt.2021.691789
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author Sharifi, Siavash
Rux, Caleb
Sparling, Nathaniel
Wan, Guangchao
Mohammadi Nasab, Amir
Siddaiah, Arpith
Menezes, Pradeep
Zhang, Teng
Shan, Wanliang
author_facet Sharifi, Siavash
Rux, Caleb
Sparling, Nathaniel
Wan, Guangchao
Mohammadi Nasab, Amir
Siddaiah, Arpith
Menezes, Pradeep
Zhang, Teng
Shan, Wanliang
author_sort Sharifi, Siavash
collection PubMed
description Currently soft robots primarily rely on pneumatics and geometrical asymmetry to achieve locomotion, which limits their working range, versatility, and other untethered functionalities. In this paper, we introduce a novel approach to achieve locomotion for soft robots through dynamically tunable friction to address these challenges, which is achieved by subsurface stiffness modulation (SSM) of a stimuli-responsive component within composite structures. To demonstrate this, we design and fabricate an elastomeric pad made of polydimethylsiloxane (PDMS), which is embedded with a spiral channel filled with a low melting point alloy (LMPA). Once the LMPA strip is melted upon Joule heating, the compliance of the composite structure increases and the friction between the composite surface and the opposing surface increases. A series of experiments and finite element analysis (FEA) have been performed to characterize the frictional behavior of these composite pads and elucidate the underlying physics dominating the tunable friction. We also demonstrate that when these composite structures are properly integrated into soft crawling robots inspired by inchworms and earthworms, the differences in friction of the two ends of these robots through SSM can potentially be used to generate translational locomotion for untethered crawling robots.
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spelling pubmed-82813542021-07-16 Dynamically Tunable Friction via Subsurface Stiffness Modulation Sharifi, Siavash Rux, Caleb Sparling, Nathaniel Wan, Guangchao Mohammadi Nasab, Amir Siddaiah, Arpith Menezes, Pradeep Zhang, Teng Shan, Wanliang Front Robot AI Robotics and AI Currently soft robots primarily rely on pneumatics and geometrical asymmetry to achieve locomotion, which limits their working range, versatility, and other untethered functionalities. In this paper, we introduce a novel approach to achieve locomotion for soft robots through dynamically tunable friction to address these challenges, which is achieved by subsurface stiffness modulation (SSM) of a stimuli-responsive component within composite structures. To demonstrate this, we design and fabricate an elastomeric pad made of polydimethylsiloxane (PDMS), which is embedded with a spiral channel filled with a low melting point alloy (LMPA). Once the LMPA strip is melted upon Joule heating, the compliance of the composite structure increases and the friction between the composite surface and the opposing surface increases. A series of experiments and finite element analysis (FEA) have been performed to characterize the frictional behavior of these composite pads and elucidate the underlying physics dominating the tunable friction. We also demonstrate that when these composite structures are properly integrated into soft crawling robots inspired by inchworms and earthworms, the differences in friction of the two ends of these robots through SSM can potentially be used to generate translational locomotion for untethered crawling robots. Frontiers Media S.A. 2021-07-01 /pmc/articles/PMC8281354/ /pubmed/34277718 http://dx.doi.org/10.3389/frobt.2021.691789 Text en Copyright © 2021 Sharifi, Rux, Sparling, Wan, Mohammadi Nasab, Siddaiah, Menezes, Zhang and Shan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Sharifi, Siavash
Rux, Caleb
Sparling, Nathaniel
Wan, Guangchao
Mohammadi Nasab, Amir
Siddaiah, Arpith
Menezes, Pradeep
Zhang, Teng
Shan, Wanliang
Dynamically Tunable Friction via Subsurface Stiffness Modulation
title Dynamically Tunable Friction via Subsurface Stiffness Modulation
title_full Dynamically Tunable Friction via Subsurface Stiffness Modulation
title_fullStr Dynamically Tunable Friction via Subsurface Stiffness Modulation
title_full_unstemmed Dynamically Tunable Friction via Subsurface Stiffness Modulation
title_short Dynamically Tunable Friction via Subsurface Stiffness Modulation
title_sort dynamically tunable friction via subsurface stiffness modulation
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281354/
https://www.ncbi.nlm.nih.gov/pubmed/34277718
http://dx.doi.org/10.3389/frobt.2021.691789
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