Sensitive, Robust, Wide-Range, and High-Consistency Capacitive Tactile Sensors with Ordered Porous Dielectric Microstructures

材料科学 制作 电容感应 电介质 稳健性(进化) 多孔性 微观结构 压力传感器 电容 触觉传感器 可穿戴计算机 灵敏度(控制系统) 声学 复合材料 光电子学 纳米技术 电子工程 电极 机械工程 人工智能 计算机科学 嵌入式系统 物理化学 基因 物理 医学 生物化学 操作系统 病理 化学 工程类 替代医学 机器人
作者
Zhikang Li,Kang Zhao,Jiaxiang Wang,Bin Wang,Jijian Lu,B. Jia,Tian Ji,Xiangguang Han,Guoxi Luo,Yilin Yu,Lu Wang,Min Li,Zhengjin Wang,Libo Zhao
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:16 (6): 7384-7398 被引量:15
标识
DOI:10.1021/acsami.3c15368
摘要

Flexible capacitive tactile sensors show great promise in personalized healthcare monitoring and human–machine interfaces, but their practical application is normally hindered because they rarely possess the required comprehensive performance, that is, high pressure sensitivity and fast response within a broad pressure range, high structure robustness, performance consistency, etc. This paper aims to engineer flexible capacitive pressure sensors with highly ordered porous dielectric microstructures and a 3D-printing-based fully solution-processable fabrication process. The proposed dielectric layer with uniformly distributed interior microporous can not only increase its compressibility and dynamic response within an extended pressure range but also enlarge its contact area with electrodes, contributing to a simultaneous improvement in the sensitivity, response speed, detection range, and structure robustness. Meanwhile, owing to its superior abilities in complex structure manufacturing and dimension controlling, the proposed 3D-printing-based fabrication process enables the consistent fabrication of the porous microstructure and thus guarantees device consistency. As a result, the prepared pressure sensors exhibit a high sensitivity of 0.21 kPa–1, fast response and relaxation times of 112 and 152 ms, an interface bonding strength of more than 455.2 kPa, and excellent performance consistency (≤5.47% deviation among different batches of sensors) and tunability. Encouraged by this, the pressure sensor is further integrated with a wireless readout circuit and realizes wireless wearable monitoring of various biosignals (pulse waves and heart rate) and body movements (from slight finger touch to large knee bending). Finally, the influence law of the feature parameters of the porous microstructure on device performance is established by the finite element method, paving the way for sensor optimization. This study motivates the development of flexible capacitive pressure sensors toward practical application.
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