Bamboo-inspired mechanically flexible and electrically conductive polydimethylsiloxane foam materials with designed hierarchical pore structures for ultra-sensitive and reliable piezoresistive pressure sensor

压阻效应 聚二甲基硅氧烷 材料科学 导电体 压力传感器 可靠性(半导体) 复合材料 灵敏度(控制系统) 纳米纤维 灵活性(工程) 纳米技术 电子工程 机械工程 功率(物理) 工程类 物理 统计 量子力学 数学
作者
Shou-Wei Dai,Yun Gu,Li Zhao,Wei Zhang,Chuanhua Gao,Yuling Wu,Shi-Chang Shen,Chao Zhang,Tingting Kong,Yutong Li,Lei Gong,Guodong Zhang,Long‐Cheng Tang
出处
期刊:Composites Part B-engineering [Elsevier]
卷期号:225: 109243-109243 被引量:89
标识
DOI:10.1016/j.compositesb.2021.109243
摘要

Flexible pressure-sensing materials with high sensitivity and good mechanical reliability are highly required to meet the long-time and accurate detecting requirement for wide-stress motions. Herein, we describe a bamboo-inspired design approach to fabricate mechanically flexible and electrically conductive carbon nanofiber/polydimethylsiloxane foam composites with unique and designed hierarchical pore structures. The optimized multi-level pore structures not only show outstanding mechanical flexibility and reliability, but also possess high sensitivity at a relatively wide stress range. Typically, the hierarchical pore structures (i.e. large-size pore structure of several hundreds of micrometers, hollow structure of several micrometers, micro-/nano-irregular pores on the hollow skeleton) are sensitive to tiny pressures to construct additional conductive paths and thus achieve high sensitivity of ~0.6 kPa−1 at 0–1 kPa. Further, such hierarchical structures easily form highly interconnected conductive network induced by the serious deformation of large pores and sinking of hollow-structure, thus providing the extremely sensitive sensing behavior for a relatively large pressure level as large as 20 kPa. Moreover, the optimized sensor presents good repeatability and excellent reliability after 10000 compressive cycles, which can satisfactorily meet the critical requirements of subtle vital signs, human motions monitoring and so on. Clearly, this work offers a route to design and development of the multifunctional advanced pressure-sensor for potential artificial intelligence application.
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