Dome-Structure Array from Pre-Strained Extendable Mesh for Tactile Sensing Without Crosstalk and Lateral Strain Interference.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2025-01-16 DOI:10.1002/smtd.202401730
Kyubin Bae, Minhyeong Kim, Sangjun Sim, Yunsung Kang, Jongbaeg Kim
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Abstract

Flexible tactile sensors have received significant attention for use in wearable applications such as robotics, human-machine interfaces, and health monitoring. However, conventional tactile sensors face challenges in accurately measuring pressure because vertical deformation is induced by Poisson's ratio in situations where lateral strain is applied. This study shows a strain-insensitive flexible tactile sensor array without the crosstalk effect using a highly stretchable mesh. This sensor is fabricated by assembling a sensing layer in which sensing cells form in each hole of an elastomer mesh and liquid-metal-based stretchable electrode layers. Stretching deforms the soft mesh layer with little effect on the rigid sensing cell array, which results in the sensor being insensitive to uniaxial strain. In addition, each sensing cell is formed in a dome shape, which resulted in a sensor exhibiting high sensitivity (7.80 kPa-1) over a wide sensing range (<160 kPa). The proposed design also allows each sensing cell to be electrically separated, enabling the pressure measurements without cell-to-cell crosstalk. Based on these characteristics, strain-insensitive pressure monitoring is demonstrated to prevent carpal/cubital tunnel syndrome by attaching the device to the joints, which suggests its potential application in healthcare.

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无串扰和侧向应变干扰的触觉传感预应变可扩展网格穹顶结构阵列。
柔性触觉传感器在机器人、人机界面和健康监测等可穿戴应用中得到了极大的关注。然而,在施加侧向应变的情况下,由于泊松比引起垂直变形,传统的触觉传感器在精确测量压力方面面临挑战。本研究提出了一种应变不敏感的柔性触觉传感器阵列,该阵列采用高度可拉伸的网格结构,没有串扰效应。该传感器是通过在弹性体网格的每个孔中形成传感细胞的传感层和基于液体金属的可拉伸电极层组装而成的。拉伸使软网格层变形,但对刚性传感单元阵列影响不大,导致传感器对单轴应变不敏感。此外,每个传感单元形成一个圆顶形状,这使得传感器在宽的传感范围内具有高灵敏度(7.80 kPa-1)。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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