Photothermal modulated dielectric elastomer actuator for resilient soft robots

Soft robots need to be resilient to extend their operation under unpredictable environments. While utilizing elastomers that are tough and healable is promising to achieve this, mechanical enhancements often lead to higher stiffness that deteriorates actuation strains. This work introduces liquid me...

Full description

Saved in:
Bibliographic Details
Main Authors: Tan, Matthew Wei Ming, Bark, Hyunwoo, Thangavel, Gurunathan, Gong, Xuefei, Lee, Pooi See
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/168651
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-168651
record_format dspace
spelling sg-ntu-dr.10356-1686512023-07-14T15:46:32Z Photothermal modulated dielectric elastomer actuator for resilient soft robots Tan, Matthew Wei Ming Bark, Hyunwoo Thangavel, Gurunathan Gong, Xuefei Lee, Pooi See School of Materials Science and Engineering Engineering::Materials Liquid Nanocomposite Soft robots need to be resilient to extend their operation under unpredictable environments. While utilizing elastomers that are tough and healable is promising to achieve this, mechanical enhancements often lead to higher stiffness that deteriorates actuation strains. This work introduces liquid metal nanoparticles into carboxyl polyurethane elastomer to sensitize a dielectric elastomer actuator (DEA) with responsiveness to electric fields and NIR light. The nanocomposite can be healed under NIR illumination to retain high toughness (55 MJ m-3) and can be recycled at lower temperatures and shorter durations due to nanoparticle-elastomer interactions that minimize energy barriers. During co-stimulation, photothermal effects modulate the elastomer moduli to lower driving electric fields of DEAs. Bilayer configurations display synergistic actuation under co-stimulation to improve energy densities, and enable a DEA crawler to achieve longer strides. This work paves the way for a generation of soft robots that achieves both resilience and high actuation performance. Ministry of Education (MOE) Published version We acknowledge the financial support from the Singapore Ministry of Education, AcRF Tier 1 Grant RG63/20. 2023-06-13T05:41:41Z 2023-06-13T05:41:41Z 2022 Journal Article Tan, M. W. M., Bark, H., Thangavel, G., Gong, X. & Lee, P. S. (2022). Photothermal modulated dielectric elastomer actuator for resilient soft robots. Nature Communications, 13(1), 6769-. https://dx.doi.org/10.1038/s41467-022-34301-w 2041-1723 https://hdl.handle.net/10356/168651 10.1038/s41467-022-34301-w 36351948 2-s2.0-85141466603 1 13 6769 en RG63/20 Nature Communications © 2022 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Materials
Liquid
Nanocomposite
spellingShingle Engineering::Materials
Liquid
Nanocomposite
Tan, Matthew Wei Ming
Bark, Hyunwoo
Thangavel, Gurunathan
Gong, Xuefei
Lee, Pooi See
Photothermal modulated dielectric elastomer actuator for resilient soft robots
description Soft robots need to be resilient to extend their operation under unpredictable environments. While utilizing elastomers that are tough and healable is promising to achieve this, mechanical enhancements often lead to higher stiffness that deteriorates actuation strains. This work introduces liquid metal nanoparticles into carboxyl polyurethane elastomer to sensitize a dielectric elastomer actuator (DEA) with responsiveness to electric fields and NIR light. The nanocomposite can be healed under NIR illumination to retain high toughness (55 MJ m-3) and can be recycled at lower temperatures and shorter durations due to nanoparticle-elastomer interactions that minimize energy barriers. During co-stimulation, photothermal effects modulate the elastomer moduli to lower driving electric fields of DEAs. Bilayer configurations display synergistic actuation under co-stimulation to improve energy densities, and enable a DEA crawler to achieve longer strides. This work paves the way for a generation of soft robots that achieves both resilience and high actuation performance.
author2 School of Materials Science and Engineering
author_facet School of Materials Science and Engineering
Tan, Matthew Wei Ming
Bark, Hyunwoo
Thangavel, Gurunathan
Gong, Xuefei
Lee, Pooi See
format Article
author Tan, Matthew Wei Ming
Bark, Hyunwoo
Thangavel, Gurunathan
Gong, Xuefei
Lee, Pooi See
author_sort Tan, Matthew Wei Ming
title Photothermal modulated dielectric elastomer actuator for resilient soft robots
title_short Photothermal modulated dielectric elastomer actuator for resilient soft robots
title_full Photothermal modulated dielectric elastomer actuator for resilient soft robots
title_fullStr Photothermal modulated dielectric elastomer actuator for resilient soft robots
title_full_unstemmed Photothermal modulated dielectric elastomer actuator for resilient soft robots
title_sort photothermal modulated dielectric elastomer actuator for resilient soft robots
publishDate 2023
url https://hdl.handle.net/10356/168651
_version_ 1772825245604904960