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受人体机械感受器启发的用于自感应离子软致动器的石墨烯网

Graphene Mesh for Self-Sensing Ionic Soft Actuator Inspired from Mechanoreceptors in Human Body.

作者信息

Tabassian Rassoul, Nguyen Van Hiep, Umrao Sima, Mahato Manmatha, Kim Jaehwan, Porfiri Maurizio, Oh Il-Kwon

机构信息

Creative Research Initiative Center for Functionally Antagonistic Nano-Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro, Yuseong-gu Daejeon 34141 Republic of Korea.

Department of Mechanical and Aerospace Engineering Tandon School of Engineering New York University 6 MetroTech Center Brooklyn NY 11201 USA.

出版信息

Adv Sci (Weinh). 2019 Oct 11;6(23):1901711. doi: 10.1002/advs.201901711. eCollection 2019 Dec.

DOI:10.1002/advs.201901711
PMID:31832318
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6891913/
Abstract

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, 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.

摘要

在此，受人体机械感受器的启发，开发了一种自感应离子软致动器，它利用3D石墨烯网状电极在致动过程中精确感知弯曲运动。石墨烯网状电极在离子可交换聚合物内部具有移动离子的渗透性，并且显示出6.25Ω Sq的低电阻，在180°的大弯曲变形中保持高电导率。在这个传感系统中，石墨烯编织网嵌入离子聚合物膜内，与移动离子相互作用并追踪它们的运动。膜内移动离子的迁移在网格上感应出电信号，并提供有关离子分布的信息，事实证明该信息与致动器的弯曲变形高度相关。使用这种集成的自感应系统，可以精确估计离子致动器对直流和交流输入的各种输入刺激的响应。即使在0.1 V的极低驱动电压下产生的位移极小，约为300 µm，但使用自感应致动器系统仍可实现高水平的估计变形精度（96%）。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/6bcab09b398b/ADVS-6-1901711-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/7e42e46e1aad/ADVS-6-1901711-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/466172f432b7/ADVS-6-1901711-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/23fde501481c/ADVS-6-1901711-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/80e111323afa/ADVS-6-1901711-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/d3c7ea94d45e/ADVS-6-1901711-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/6bcab09b398b/ADVS-6-1901711-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/7e42e46e1aad/ADVS-6-1901711-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/466172f432b7/ADVS-6-1901711-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/23fde501481c/ADVS-6-1901711-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/80e111323afa/ADVS-6-1901711-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/d3c7ea94d45e/ADVS-6-1901711-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6926/6891913/6bcab09b398b/ADVS-6-1901711-g005.jpg

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