A stretchable and transparent strain sensor based on sandwich-like PDMS/CNTs/PDMS composite containing an ultrathin conductive CNT layer
A stretchable and transparent strain sensor based on sandwich-like PDMS/CNTs/PDMS composite containing an ultrathin conductive CNT layer
复制标题
基于包含超薄导电 CNT 层的三明治状 PDMS/CNT/PDMS 复合材料的可拉伸透明应变传感器
DOI：
10.1016/j.compscitech.2019.107938
复制
发表时间：
2020-01-20
影响因子：
9.1
通讯作者：
Jiang, Wei
中科院分区：
文献类型：
--
作者：
Chen, Jianwen;Zhu, Yutian;Jiang, Wei
基于导电聚合物复合材料（cpc）的可拉伸和透明应变传感器在各种领域具有潜在的应用，包括电子皮肤，可穿戴电子产品和人体运动检测。然而，如何以低成本、简便、可扩展的制造方法制备具有良好透明度和宽传感范围的cpc应变传感器仍然是一个挑战。在此，我们报告了一种简单的喷雾沉积和转移方法，以三明治状聚二甲基硅氧烷(PDMS)/碳纳米管(CNTs)/PDMS复合材料为基础，制备了一种具有超薄均匀导电层的可拉伸透明应变传感器。所制备的应变传感器具有良好的拉伸性、良好的光学透明性和优异的传感性能，可以检测微小应变和大应变，具有良好的稳定性和重复性。例如，基于PDMS/CNTs/PDMS复合材料（导电层上含有0.16 mg/cm(2) CNTs）的应变传感器在550 nm处具有53.1%的良好透光率，超过130%的宽传感范围，并且能够监测面部表情的细微运动和人体关节的大运动，在人体运动检测、可穿戴电子产品和电子皮肤方面具有很大的应用潜力。
Stretchable and transparent strain sensors based on conductive polymer composites (CPCs) possess potential applications in a variety of fields, including electronic skin, wearable electronics, and human motion detection. However, it is still a challenge to prepare CPC-based strain sensors with both good transparency and broad sensing range by a low-cost, facile, and scalable fabrication method. Herein, we report a simple spray deposition and transfer method to fabricate a stretchable and transparent strain sensor based on the sandwich-like poly-dimethylsiloxane (PDMS)/carbon nanotubes (CNTs)/PDMS composite containing with an ultrathin and uniform conductive layer. The fabricated strain sensors exhibit superb stretchability, good optical transparency, and excellent sensing performances, which can detect both the subtle and large strains with outstanding stability and repeatability. For example, the strain sensor based on PDMS/CNTs/PDMS composite (containing 0.16 mg/cm(2) CNTs on the conductive layer) presents a good optical transmittance of 53.1% at 550 nm, broad sensing range of over 130%, and the ability to monitor both the subtle motions of facial expressions and the large motions of human joints, which has great potential applications in human motion detection, wearable electronics, and electronic skin.