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

机译:石墨烯滤网用于自感应离子软执行器的启发,从人体中的机械感受

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摘要

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−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.
机译:摘要在这里,由人体中的机械感受器的启发,开发了一种自感应离子软致动器,其在利用3D石墨烯网电极的致动期间精确地感测弯曲运动。石墨烯网电极具有离子可交换聚合物内的移动离子的渗透性,并且显示出6.25ΩSQ-1的低电阻,在大的弯曲变形中保持高电导率为180°。在该感测系统中,石墨烯编织网嵌入内部的离子聚合物膜中以与移动离子相互作用并追踪它们的运动。膜内的移动离子迁移在网格上引起电信号,并提供关于离子分布的信息,这被证明与致动器的弯曲变形高度相关。使用该集成的自感应系统,精确地估计了离子致动器对各种输入刺激的响应,用于直流和交流输入。尽管在非常低的驱动电压下产生的位移大约300μm,但是使用自感致动器系统可以实现估计变形的高电平精度(96%)。

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