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Printable wet-resistive textile strain sensors using bead-blended composite ink for robustly integrative wearable electronics
Composites Part B: Engineering ( IF 13.1 ) Pub Date : 2021-02-03 , DOI: 10.1016/j.compositesb.2021.108674
Siyeon Jang , Ja Yun Choi , Eui Sang Yoo , Dae Young Lim , Jun Young Lee , Jung Kyu Kim , Changhyun Pang

With an increased demand for integrative wearable devices for various smart healthcare systems, highly deformable textile strain sensors have attracted significant attention in recent years. For real application as wearable devices, the primary challenge is developing outperforming textile strain sensors with mechanical robustness and high operational stability under both dry and wet conditions. Here a printable micro-structured textile strain sensor with high sensitivity and mechanical durability is proposed for these integrative wearable devices. A composite ink, composed of a conductive mixture with elastic microbeads and conducting polymer, is incorporated into the sensor via a simple printing process. These conducting polymer-encapsulated elastic microbeads provide a microcrack structure on the textile strain sensor, yielding sensitivity with a maximum gauge factor of 57. The conformally printed textile strain sensor allows integrative devices to retain their high sensing performances with a wide sensing range (∼130%), excellent repeatability (>10,000 cycles), and waterproof capability (contact angle ∼112°). To demonstrate its high versatility in practical application, the printable textile strain sensor is applied to an integrative user-interface device, monitoring respiration and arm motion signals in real time under both dry and wet environments.



中文翻译:

可印刷的耐湿纺织品应变传感器,采用珠粒混合油墨,可牢固集成到可穿戴电子设备中

随着对用于各种智能医疗系统的集成可穿戴设备的需求增加,近年来,高度可变形的纺织品应变传感器引起了广泛的关注。对于可穿戴设备的实际应用,主要挑战是开发性能出众的纺织品应变传感器,该传感器在干燥和潮湿条件下均具有机械坚固性和高操作稳定性。在此,针对这些一体式可穿戴设备提出了一种具有高灵敏度和机械耐久性的可印刷微结构纺织品应变传感器。通过简单的印刷过程,将由导电混合物与弹性微珠和导电聚合物组成的复合墨水掺入传感器中。这些导电聚合物封装的弹性微珠在织物应变传感器上提供了微裂纹结构,°)。为了在实际应用中证明其高度的多功能性,可打印的纺织品应变传感器应用于集成的用户界面设备,可在干燥和潮湿环境下实时监测呼吸和手臂运动信号。

更新日期:2021-02-03
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