材料科学
摩擦电效应
碳纳米管
复合材料
数码产品
极限抗拉强度
热稳定性
消散
纤维素
纳米复合材料
柔性电子器件
热导率
工作(物理)
复合数
纳米技术
机械能
航空航天
结构刚度
纤维素乙醇
刚度(电磁)
结构材料
热的
机械工程
可穿戴技术
聚合物
比强度
拉伸试验
电导率
织物
桥接(联网)
变形(气象学)
稳健性(进化)
纳米管
纤维素纤维
作者
Yanhua Liu,Jin-Long Wang,Saichao Cao,Yicheng Li,Tao Liu,Mingchao Chi,Bin Luo,Song Zhang,Chenchen Cai,Manjing Wang,Shuangxi Nie
标识
DOI:10.1002/adfm.202525097
摘要
Abstract Developing high‐performance, wearable electronics that operate reliably in extreme environments is crucial for ensuring life safety, as well as for aerospace and industrial applications. However, existing sensing materials face a trade‐off between mechanical performance and high‐temperature robustness, limiting their performance gains and stability under heat. This study introduces a thermomechanically robust cellulosic triboelectric material with interfacial nano‐bridging that forms a heat‐conducting network. Heat‐conducting nanosheets and nanotubes intertwine with cellulose through noncovalent interactions. A very small amount of carbon nanotubes (2 wt.%) acts as bridging segments that connect the heat‐conducting nanosheets, forming a strong hydrogen‐bond network with cellulose to resist energy dissipation during tensile loading. This yields both high mechanical strength (169 MPa) and high thermal conductivity (12.9 W m −1 K −1 ). The performance far exceeds that of most reported polymer composite sensing materials. As a result, self‐powered devices based on triboelectric materials maintained stable operation at 230 °C, and achieved a high output power of 2.72 W m − 2 . When integrated into wearable self‐powered sensing systems with machine learning, the system achieved a 97% accuracy in motion pose recognition. This work presents a strategy to balance the thermomechanical stability trade‐off and provides a general design pathway for sensing materials suitable for complex operating conditions.
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