Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)

In article number https://doi.org/10.1002/advs.201901711, Il‐Kwon Oh and co‐workers propose a new sensing mechanism for measuring the actuation displacement of ionic actuators using a graphene mesh. Inspired by the mechanoreceptor in the human body, a graphene mesh is embedded inside the actuator me...

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Autores principales: Tabassian, Rassoul, Nguyen, Van Hiep, Umrao, Sima, Mahato, Manmatha, Kim, Jaehwan, Porfiri, Maurizio, Oh, Il‐Kwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Cover Picture
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891895/
http://dx.doi.org/10.1002/advs.201970137
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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 In article number https://doi.org/10.1002/advs.201901711, Il‐Kwon Oh and co‐workers propose a new sensing mechanism for measuring the actuation displacement of ionic actuators using a graphene mesh. Inspired by the mechanoreceptor in the human body, a graphene mesh is embedded inside the actuator membrane to record the change of electrical potential due to ion movement during actuation. This signal is then correlated with the movement of the actuator which also caused by ion migration inside the membrane. [Image: see text]
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spelling pubmed-68918952019-12-12 Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019) Tabassian, Rassoul Nguyen, Van Hiep Umrao, Sima Mahato, Manmatha Kim, Jaehwan Porfiri, Maurizio Oh, Il‐Kwon Adv Sci (Weinh) Cover Picture In article number https://doi.org/10.1002/advs.201901711, Il‐Kwon Oh and co‐workers propose a new sensing mechanism for measuring the actuation displacement of ionic actuators using a graphene mesh. Inspired by the mechanoreceptor in the human body, a graphene mesh is embedded inside the actuator membrane to record the change of electrical potential due to ion movement during actuation. This signal is then correlated with the movement of the actuator which also caused by ion migration inside the membrane. [Image: see text] John Wiley and Sons Inc. 2019-12-04 /pmc/articles/PMC6891895/ http://dx.doi.org/10.1002/advs.201970137 Text en © 2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Cover Picture
Tabassian, Rassoul
Nguyen, Van Hiep
Umrao, Sima
Mahato, Manmatha
Kim, Jaehwan
Porfiri, Maurizio
Oh, Il‐Kwon
Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)
title Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)
title_full Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)
title_fullStr Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)
title_full_unstemmed Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)
title_short Self‐Sensing Actuators: Graphene Mesh for Self‐Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body (Adv. Sci. 23/2019)
title_sort self‐sensing actuators: graphene mesh for self‐sensing ionic soft actuator inspired from mechanoreceptors in human body (adv. sci. 23/2019)
topic Cover Picture
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891895/
http://dx.doi.org/10.1002/advs.201970137
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