基于不锈钢织物蜂巢组织结构设计及传感性能研究

卞莹1, 刘丹宇2, 李杰1, 郝艺2, 魏取福2, 吕鹏飞2*

化工新型材料 ›› 2026, Vol. 54 ›› Issue (1) : 266 -270.

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化工新型材料 ›› 2026, Vol. 54 ›› Issue (1) : 266-270. DOI: 10.19817/j.cnki.issn1006-3536.2026.01.042
开发与应用

基于不锈钢织物蜂巢组织结构设计及传感性能研究

    卞莹1, 刘丹宇2, 李杰1, 郝艺2, 魏取福2, 吕鹏飞2*
作者信息 +

Design and sensing properties of stainless-steel fabric with honeycomb structure

  • Bian Ying1, Liu Danyu2, Li Jie1, Hao Yi2, Wei Qufu2, Lv Pengfei2
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摘要

柔性传感器因其灵活性、适应性和可穿戴性而被广泛应用于智能可穿戴设备领域。其中织物传感器与其他柔性传感器相比,能够无缝集成到服装和其他纺织品中,进行连续、实时的监测,同时确保佩戴者的舒适度。通过采用不锈钢纱线作为基材,结合蜂巢组织结构,制备出高性能不锈钢纱线织物传感器。结果表明:该传感器不仅具有优异的机械性能,而且由于蜂巢组织的结构设计,还具有出色的应力分散能力,确保了在复杂应力条件下的结构稳定性。同时,传感器还具备快速的响应时间和出色的可重复性,确保了在动态环境中提供精确可靠的数据输出。尤其在监测人体关节运动时,传感器展现了精准的实时响应能力,证明其在健康监测领域的巨大潜力。

Abstract

Flexible sensors are extensively utilized in the domain of smart wearable devices owing to their flexibility,adaptability and wearability.Compared with other flexible sensors,Fabric sensors have the capacity to seamlessly integrate into garments and other textiles for continuous,real-time monitoring while ensuring wearer comfort.In this study,researchers prepared a high-performance stainless steel yarn fabric sensor by utilizing stainless steel yarn as a substrate and incorporating a honeycomb structure.Experimental findings demonstrated that the sensor exhibited not only exceptional mechanical properties but also outstanding stress dispersion capability,attributable to the honeycomb structural design,which guaranteed structural stability under complex stress conditions.The sensor also exhibited a rapid response time and excellent repeatability,ensuring accurate and reliable data output in dynamic environments.Notably,the sensors demonstrated precise real-time responses during the monitoring of human joint movements,thereby substantiating their considerable potential in health monitoring applications.

关键词

柔性传感器 / 不锈钢纱线 / 蜂巢组织 / 拉伸传感

Key words

flexible sensor / stainless-steel yarn / honeycomb organization / stretch sensing

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基于不锈钢织物蜂巢组织结构设计及传感性能研究[J]. 化工新型材料, 2026, 54(1): 266-270 DOI:10.19817/j.cnki.issn1006-3536.2026.01.042

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基金资助

国家自然科学基金(52473275);江苏省市场监督管理局项目(KJ2024013)

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