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Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body
Here, inspired by mechanoreceptors in the human body, a self‐sensing ionic soft actuator is developed that precisely senses the bending motions during actuating utilizing a 3D graphene mesh electrode. The graphene mesh electrode has the permeability of mobile ions inside the ionic exchangeable polym...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891913/ https://www.ncbi.nlm.nih.gov/pubmed/31832318 http://dx.doi.org/10.1002/advs.201901711 |
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author | Tabassian, Rassoul Nguyen, Van Hiep Umrao, Sima Mahato, Manmatha Kim, Jaehwan Porfiri, Maurizio Oh, Il‐Kwon |
author_facet | Tabassian, Rassoul Nguyen, Van Hiep Umrao, Sima Mahato, Manmatha Kim, Jaehwan Porfiri, Maurizio Oh, Il‐Kwon |
author_sort | Tabassian, Rassoul |
collection | PubMed |
description | Here, inspired by mechanoreceptors in the human body, a self‐sensing ionic soft actuator is developed that precisely senses the bending motions during actuating utilizing a 3D graphene mesh electrode. The graphene mesh electrode has the permeability of mobile ions inside the ionic exchangeable polymer and shows low electrical resistance of 6.25 Ω Sq(−1), maintaining high electrical conductivity in large bending deformations of 180°. In this sensing system, the graphene woven mesh is embedded inside ionic polymer membrane to interact with mobile ions and to trace their movements. The migration of mobile ions inside the membrane induces an electrical signal on the mesh and provides the information regarding ion distribution, which is proven to be highly correlated with the bending deformation of the actuator. Using this integrated self‐sensing system, the responses of an ionic actuator to various input stimulations are precisely estimated for both direct current and alternating current inputs. Even though the generated displacement is extremely small around 300 µm at very low driving voltage of 0.1 V, high level accuracy (96%) of estimated deformations could be achieved using the self‐sensing actuator system. |
format | Online Article Text |
id | pubmed-6891913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68919132019-12-12 Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body Tabassian, Rassoul Nguyen, Van Hiep Umrao, Sima Mahato, Manmatha Kim, Jaehwan Porfiri, Maurizio Oh, Il‐Kwon Adv Sci (Weinh) Full Papers Here, inspired by mechanoreceptors in the human body, a self‐sensing ionic soft actuator is developed that precisely senses the bending motions during actuating utilizing a 3D graphene mesh electrode. The graphene mesh electrode has the permeability of mobile ions inside the ionic exchangeable polymer and shows low electrical resistance of 6.25 Ω Sq(−1), maintaining high electrical conductivity in large bending deformations of 180°. In this sensing system, the graphene woven mesh is embedded inside ionic polymer membrane to interact with mobile ions and to trace their movements. The migration of mobile ions inside the membrane induces an electrical signal on the mesh and provides the information regarding ion distribution, which is proven to be highly correlated with the bending deformation of the actuator. Using this integrated self‐sensing system, the responses of an ionic actuator to various input stimulations are precisely estimated for both direct current and alternating current inputs. Even though the generated displacement is extremely small around 300 µm at very low driving voltage of 0.1 V, high level accuracy (96%) of estimated deformations could be achieved using the self‐sensing actuator system. John Wiley and Sons Inc. 2019-10-11 /pmc/articles/PMC6891913/ /pubmed/31832318 http://dx.doi.org/10.1002/advs.201901711 Text en © 2019 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers Tabassian, Rassoul Nguyen, Van Hiep Umrao, Sima Mahato, Manmatha Kim, Jaehwan Porfiri, Maurizio Oh, Il‐Kwon Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body |
title | Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body |
title_full | Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body |
title_fullStr | Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body |
title_full_unstemmed | Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body |
title_short | Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body |
title_sort | graphene mesh for self‐sensing ionic soft actuator inspired from mechanoreceptors in human body |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891913/ https://www.ncbi.nlm.nih.gov/pubmed/31832318 http://dx.doi.org/10.1002/advs.201901711 |
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