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具有褶皱微结构的超灵敏线性电容压力传感器,用于触觉感知。

Ultrasensitive Linear Capacitive Pressure Sensor with Wrinkled Microstructures for Tactile Perception.

机构信息

State Key Laboratory of Precision Measuring Technology and Instrument, School of Precision Instrument and Opto-electronics Engineering, Tianjin, 300072, P. R. China.

College of Artificial Intelligence, Nankai University, Tianjin, 300350, P. R. China.

出版信息

Adv Sci (Weinh). 2023 May;10(14):e2206807. doi: 10.1002/advs.202206807. Epub 2023 Mar 15.

Abstract

Ultrasensitive flexible pressure sensors with excellent linearity are essential for achieving tactile perception. Although microstructured dielectrics have endowed capacitive sensors with ultrahigh sensitivity, the compromise of sensitivity with increasing pressure is an issue yet to be resolved. Herein, a spontaneously wrinkled MWCNT/PDMS dielectric layer is proposed to realize the excellent sensitivity and linearity of capacitive sensors for tactile perception. The synergistic effect of a high dielectric constant and wrinkled microstructures enables the sensor to exhibit linearity up to 21 kPa with a sensitivity of 1.448 kPa and a detection limit of 0.2 Pa. Owing to these merits, the sensor monitors subtle physiological signals such as various arterial pulses and respiration. This sensor is further integrated into a fully multimaterial 3D-printed soft pneumatic finger to realize material hardness perception. Eight materials with different hardness values are successfully discriminated, and the capacitance of the sensor varies linearly (R > 0.975) with increasing hardness. Moreover, the sensitivity to the material hardness can be tuned by controlling the inflation pressure of the soft finger. As a proof of concept, the finger is used to discriminate pork fats with different hardness, paving the way for hardness discrimination in clinical palpation.

摘要

具有优异线性度的超灵敏柔性压力传感器对于实现触觉感知至关重要。尽管微结构化电介质赋予了电容传感器超高的灵敏度,但随着压力的增加而牺牲灵敏度仍然是一个尚未解决的问题。在此,提出了一种自发皱的 MWCNT/PDMS 介电层,以实现用于触觉感知的电容传感器的优异灵敏度和线性度。高介电常数和皱缩微结构的协同效应使传感器在 21 kPa 的压力下表现出线性度,灵敏度为 1.448 kPa,检测限为 0.2 Pa。由于这些优点,该传感器可以监测各种动脉脉冲和呼吸等微妙的生理信号。该传感器进一步集成到完全多材料 3D 打印软气动手指中,以实现材料硬度感知。成功区分了 8 种具有不同硬度值的材料,并且传感器的电容随硬度的增加呈线性变化(R>0.975)。此外,通过控制软指的充气压力可以调整对材料硬度的灵敏度。作为概念验证,该手指用于区分具有不同硬度的猪肉脂肪,为临床触诊中的硬度区分铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9508/10190589/7c88a59791f0/ADVS-10-2206807-g004.jpg

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