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Flexible capacitive pressure sensor with sensitivity and linear measuring range enhanced based on porous composite of carbon conductive paste and polydimethylsiloxane

机译:基于碳导电浆料的多孔复合材料,具有灵敏度和线性测量范围的柔性电容式压力传感器,增强了碳导电浆料和聚二甲基硅氧烷

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摘要

In recent years, the development of electronic skin and smart wearable body sensors has put forward high requirements for flexible pressure sensors with high sensitivity and large linear measuring range. However, it turns out to be difficult to increase both of them simultaneously. In this paper, a flexible capacitive pressure sensor based on a porous carbon conductive paste-polydimethylsiloxane composite is reported, the sensitivity and the linear measuring range of which were developed using multiple methods including adjusting the stiffness of the dielectric layer material, fabricating a microstructure and increasing the dielectric permittivity of the dielectric layer. The capacitive pressure sensor reported here has a relatively high sensitivity of 1.1 kPa(-1) and a large linear measuring range of 10 kPa, making the product of the sensitivity and linear measuring range 11, which is higher than that of the most reported capacitive pressure sensors to our best knowledge. The sensor has a detection of limit of 4 Pa, response time of 60 ms and great stability. Some potential applications of the sensor were demonstrated, such as arterial pulse wave measuring and breath measuring, which shows it as a promising candidate for wearable biomedical devices. In addition, a pressure sensor array based on the material was also fabricated and it could identify objects in the shape of different letters clearly, which shows promising application in future electronic skins.
机译:近年来,电子皮肤和智能可穿戴体传感器的开发提出了对具有高灵敏度和大线性测量范围的柔性压力传感器的高要求。然而,事实证明很难同时增加两个。本文报道了一种基于多孔碳导电浆料 - 聚二甲基硅氧烷复合材料的柔性电容压力传感器,其灵敏度和线性测量范围是使用多种方法开发的,包括调节介电层材料的刚度,制造微观结构和增加介电层的介电常数。此处报告的电容式压力传感器具有相对高的1.1kPa(-1)的灵敏度和10kPa的大线性测量范围,使得灵敏度和线性测量范围11的乘积高于最报道的电容性压力传感器对我们最好的知识。该传感器的检测为4Pa的限制,响应时间为60 ms,稳定性大。对传感器的一些潜在应用进行了说明,例如动脉脉搏波测量和呼吸测量,其将其显示为可穿戴生物医学装置的有希望的候选者。此外,还制造了一种基于材料的压力传感器阵列,并且可以清楚地识别不同字母形状的物体,这在未来的电子皮肤中显示出有希望的应用。

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