材料科学
聚二甲基硅氧烷
石墨烯
标度系数
纳米技术
表面粗糙度
应变计
基质(水族馆)
灵敏度(控制系统)
光电子学
表面光洁度
可穿戴计算机
复合材料
制作
计算机科学
电子工程
嵌入式系统
病理
工程类
替代医学
地质学
海洋学
医学
作者
Jialin Duan,Jiayao Liu,Chaolun Wang,Chunhua Cai,Liangjian Lyu,Litao Sun,Xing Wu,Hengchang Bi
标识
DOI:10.1002/admt.202300776
摘要
Abstract Wearable strain sensors are widely used in bionic robots and wearable electronic devices. However, such devices inevitably work in degradative environments such as under wet conditions and contaminants, deteriorating the sensing performance and stability. In this work, a stretch‐tolerant superhydrophobic, self‐cleaning graphene‐based strain sensor with high sensitivity, is reported using prestretching strategy. The stretch‐tolerant superhydrophobic surface of the sensor is prepared by attaching carbon black nanoparticles to the Ecoflex substrate for constructing surface roughness and modifying with polydimethylsiloxane for achieving low surface energy under stretched condition (50% strain), which endow the sensors with an outstanding self‐cleaning performance for various contaminants. Moreover, the sensor retains excellent super‐hydrophobicity even under stretching. The sensor is also insensitive to common liquids in daily life including water, such as tea, milk, and coffee. Furthermore, the proposed strain sensor achieves wide sensing ranges (strain over 100%) and has a superior sensitivity (gauge factor up to 653.4 at 90% stretching), which shows great promising in accurate human motions monitoring both in the air and underwater. Besides, by placing the strain sensor on a bridge, the number of vehicles on the bridge can be detected, which exhibits an ideal platform for real‐time traffic flow monitoring.
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