A template-stripped carbon nanofiber/poly(styrene-butadiene-styrene) compound for high-sensitivity pressure and strain sensing

Soft science Pub Date : 2022-01-01 DOI:10.20517/ss.2022.12
Yaoxu Xiong, Zhiqiang Lin, Zeyu Zhao, Yadong Xu, Y. Wan, Pengli Zhu, Yougen Hu, Rong Sun
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引用次数: 0

Abstract

Materials selection and microstructural design of the sensing part of flexible pressure sensors are of great significance in improving their performance. However, achieving synergy between the sensing material and the microstructure of the flexible sensors remains a challenge. Herein, compressible and stretchable sensors based on a carbon nanofiber/poly(styrene-butadiene-styrene) (CNF/SBS) compound are demonstrated with a template-stripped method for detecting various human motions, including pulses, finger bending and pressure distributions. Benefiting from the adjustable fingerprint microstructure and mass fraction of CNFs, the as-designed flexible pressure sensor dramatically achieves a high sensitivity of 769.2 kPa-1, a low detection limit of 5 Pa and high reliability of over 1000 cycles. Moreover, the flexible sensor based on CNF/SBS can be stretched due to the outstanding tensile properties of SBS. The enhanced stretchable sensor remarkably possesses a high gauge factor of 105.6 with a stretch range of 0%-300% and up to 600% elongation. Importantly, the proposed pressure and tension strain sensors are investigated to monitor vigorous human motion, revealing their tremendous potential for applications in flexible compressible and stretchable wearable electronics.
一种用于高灵敏度压力应变传感的模板剥离碳纳米纤维/聚(苯乙烯-丁二烯-苯乙烯)化合物
柔性压力传感器传感部分的材料选择和微结构设计对提高柔性压力传感器的性能具有重要意义。然而,实现传感材料与柔性传感器微观结构之间的协同作用仍然是一个挑战。在此,基于碳纳米纤维/聚苯乙烯-丁二烯-苯乙烯(CNF/SBS)化合物的可压缩和可拉伸传感器通过模板剥离方法进行了演示,用于检测各种人体运动,包括脉冲,手指弯曲和压力分布。利用可调节的指纹结构和CNFs的质量分数,设计的柔性压力传感器具有769.2 kPa-1的高灵敏度,5 Pa的低检测限和超过1000次循环的高可靠性。此外,由于SBS优异的拉伸性能,基于CNF/SBS的柔性传感器可以被拉伸。增强的可拉伸传感器具有105.6的高测量因子,拉伸范围为0%-300%,伸长率高达600%。重要的是,所提出的压力和张力应变传感器被研究用于监测剧烈的人体运动,揭示了它们在柔性可压缩和可拉伸可穿戴电子产品中的巨大应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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