可扩展制造的三电面料传感器用于在人体活动期间绘制压力分布图
Qingyun Tao1, Cong Zheng1, Ruihua Wang1
1Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, China.
ACS applied materials & interfaces
|September 17, 2025
概括
本研究介绍了一种可扩展的,高灵敏度的织物压力传感器,使用交织的 triboelectric 线. 优化的编织密度和新型电路模型使可穿戴健康监测的精确,无交叉声压力映射成为可能.
科学领域:
- 材料科学 材料科学 材料科学
- 织工程 织工程 织工程
- 传感器技术 传感器技术
背景情况:
- 可扩展制造全织电压传感器,用于高灵敏度和无交叉压力测绘是一个重大挑战.
- 现有的方法往往在集成,可扩展性和传感器阵列干扰方面扎.
研究的目的:
- 开发一个可扩展的 triboelectric 织物压力映射传感器,具有高灵敏度,没有交叉声.
- 建立基于织物参数的传感器输出预测模型.
- 展示传感器在实时健康监测中的实际应用.
主要方法:
- 在工业织机上直接交织聚四乙烯/不钢 (PTFE-SS) 和聚胺66/不钢 (PA66-SS) 编织线成普通衍生织物.
- 研究曲线/织物密度对电力输出的影响,并开发了第一个等效电路模型 (FO-ECM) 来进行预测.
- 通过分析边缘电场来设计具有结构间距的 triboelectric 织物传感器阵列 (TFSA),以消除交叉声.
主要成果:
- 减少曲线/织物密度显著提高了电力输出,优化的参数实现了高灵敏度 (2.942 V·kPa−1,0-1 kPa).
- 在不同编织密度下,FO-ECM实现了0.978的适配系数来预测输出,从而实现了数字参数设计.
- 开发的TFSA证明了无干扰,高空间分辨率的压力映射,通过监测人体活动来验证.
结论:
- 一种简单的,集成的方法使得高性能 triboelectric 织物压力传感器的可扩展制造成为可能.
- 优化的传感器设计和预测建模推动了可穿戴,自动供电的健康监测系统的发展.
- 消除交叉声和高灵敏度为先进的实时压力分布绘图铺平了道路.
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