纺织学报 ›› 2024, Vol. 45 ›› Issue (12): 225-233.doi: 10.13475/j.fzxb.20231104702

• 综合述评 • 上一篇    下一篇

纺织基可穿戴柔性应变传感器的研究进展

张曼1, 权英1, 冯宇2(), 李甫1, 张爱琴1, 刘淑强1   

  1. 1.太原理工大学 轻纺工程学院, 山西 晋中 030600
    2.太原理工大学 省部共建煤基能源清洁高效利用国家重点实验室, 山西 太原 030008
  • 收稿日期:2023-11-22 修回日期:2024-03-25 出版日期:2024-12-15 发布日期:2024-12-31
  • 通讯作者: 冯宇(1991—),男,副教授,博士。主要研究方向为功能性纺织品。E-mail:fengyu@tyut.edu.cn
  • 作者简介:张曼(1991—),女,讲师,博士。主要研究方向为纺织基柔性传感器。
  • 基金资助:
    山西省基础研究计划面上项目(202303021211072);山西省重点研发计划项目(202302040201009)

Advances in textile-based wearable flexible strain sensors

ZHANG Man1, QUAN Ying1, FENG Yu2(), LI Fu1, ZHANG Aiqin1, LIU Shuqiang1   

  1. 1. College of Textile Engineering, Taiyuan University of Technology, Jinzhong, Shanxi 030600, China
    2. State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology, Taiyuan, Shanxi 030008, China
  • Received:2023-11-22 Revised:2024-03-25 Published:2024-12-15 Online:2024-12-31

摘要:

为推进智能可穿戴纺织品的研发和应用,基于纺织基应变传感器的研究现状,从纤维、纱线、织物3个结构尺度介绍了柔性应变传感器的设计思路和制备方法。概述了纺丝法、表面涂层和炭化改性制备纤维基应变传感器的关键问题及优缺点,总结了螺旋纱、皮芯结构复合纱等特殊纱线结构在应变传感器中的应用,对比了不同织物结构作为应变传感器基材的传感机制和性能特征。最后讨论了纺织基柔性应变传感器发展过程存在的问题和挑战:通过纺织结构设计实现传感器高灵敏度和大应变范围的要求;建立多尺度结构与传感性能之间的理论关系,充分发挥纺织材料的结构和性能优势;进一步推动纺织基应变传感器在可穿戴电子领域的实际应用。

关键词: 柔性应变传感器, 纺织结构, 纤维, 纱线, 织物, 智能纺织品

Abstract:

Significance Wearable flexible strain sensors can facilitate all-round monitoring of human activities and thus have broad application prospects in fields such as healthcare, public health and human-computer interaction. Compared with traditional embedded rigid strain sensors, textile structures become an ideal structural platform for flexible strain sensors with the advantages of flexibility, comfort and hyperbolic effect. However, since the raw materials used in traditional textiles generally have electrical insulating properties, they should be modified into electrically sensitive materials before being used to construct flexible strain sensors. In addition, the textile structure design is targeted on the basis of the strain sensing mechanism. Although there are some basic researches on the application of textile technology in the field of smart wearables, it is still in its infancy in the actual market application. In order to further promote the development and application of smart wearable textiles and make full use of the textile structural advantages, this paper summarizes the design concepts and preparation methods of flexible textile-based strain sensors based on the current research progress. The paper is organized on progress made in fibers, yarns and fabrics.

Progress For fiber-based strain sensors, integrating fibers with electrically sensitive materials to achieve conductive fiber preparation is the primary issue which needs to be addressed in the preparation of strain sensors. Currently, there are three mainstream technologies to prepare fiber materials with good electrical conductivity which are fiber spinning, fiber surface coating and carbonization modification of fibers. Compared to fiber-based strain sensors, yarn-based sensors pay more attention to the macroscopic structural design to assemble multiple functional materials, achieving multi-dimensional upgrading of sensing performance. Yarn spinning technology, on the other hand, is an effective way to integrate functional fibers into yarns to achieve a good combination of structure and function. Spiral yarn and core-spun yarn are two commonly used yarn structures in strain sensors. Different fabric structures have their own advantages and disadvantages for creating strain sensors. Knitted fabrics have high stretchability, which can meet the size change ability required for strain sensors, but the structural stability is relatively poor. In comparison, woven fabrics have stable structure but the deformation is limited. The most common method for preparing strain sensors with braided structure is to use elastic yarns as core and conductive yarns as the braided sheath. Nonwoven structures provide an ideal template for the deposition of conductive materials, which can effectively construct three-dimensional interconnected conductive paths. The disadvantage however is that the strength is low and thus nonwoven fabrics are rarely used as a separate substrate for strain sensor. Finally, embedding flexible conductive yarn into textiles through the sewing process is also one way to prepare textile-based strain sensors. In principle, it can be embedded anywhere in clothing, providing preparation flexibility and potentially reducing costs.

Conclusion and Prospect Although significant progress has been made in the research of textile-based strain sensors, there are still some key issues that need to be further investigated in terms of structural design, mechanism analysis, and performance optimization before academic research can be used for practical applications. 1) In order to meet the requirements of high sensitivity and large strain range of sensors, the design concept is that any slight deformation will cause changes in the conductive network inside the material, and the conductive network is always connected under different strain levels. At the same time, the interfacial properties of the conductive filler and the substrate need to be improved to ensure the repeatability and stability of the sensor. 2)The inherent insulation, viscoelasticity, and complexity of the multi-scale structure make the mechanism study of textile-based strain sensors very complex. Establishing a theoretical relationship between the multi-scale structure and the sensing performance is a necessary foundation for optimization design and performance improvement of textile-based strain sensors. 3) The performance improvement of materials in terms of washability, comfort, and adaptability with the human body is an important research direction. It is also a key issue to fully leverage the structural and performance advantages of textile materials, and consequently promoting the practical application of textile sensors in the field of wearable electronics.

Key words: flexible strain sensor, textile structure, fiber, yarn, fabric, smart textile

中图分类号: 

  • TS101.3

表1

纺丝技术所制备纤维基应变传感器性能汇总"

导电填料 柔性
基体
纺丝技术 最高灵
敏系数
应变范
围/%
参考
文献
CNT SBS 湿法纺丝 2 889 >260 [5]
CNT TPU 湿法纺丝 5 200 约565 [6]
CNT SEBS 湿法纺丝 368 约471 [7]
AgNP+ GNP PU 湿法纺丝 约150 [8]
AgNW TPU 湿法纺丝 约766 [9]
CNT TPE 同轴湿法纺丝 425 约100 [10]
CNT SBS 同轴湿法纺丝 25 832.77 约44 [11]
MXene PU 同轴湿法纺丝 104+ >150 [12]
液态金属 PU 同轴湿法纺丝 1.55 约600 [13]
AuNW SEBS 干法纺丝 约380 [14]
CNT PC 熔融纺丝 16 约5.5 [15]
PEDOT:PSS-
PVP
PMDS 静电纺丝 360 约4 [16]

表2

表面涂层法柔性应变传感器性能汇总"

导电涂层 柔性基体 封装材料 涂层技术 最高灵敏系数 应变范围/% 参考文献
CB 聚酯纤维 TPU 浸渍涂层 217 约8 [17]
AgNW + CNT 镓铟合金/TPU纤维 Ecoflex® 浸渍涂层 7 336.1 0.5~500 [18]
氧化锌纳米线 PU纤维 浸渍涂层+水热反应 15.2 约150 [19]
AgNP + GNP PU纤维 PDMS 浸渍涂层+磁控溅射 490.2 约50 [20]
金膜 PDMS纤维 磁控溅射 25 125 [21]
石墨薄片 蚕丝纤维 Ecoflex® 迈耶棒涂层 14.5 约15 [22]
铜膜 PDMS纤维 聚合物辅助金属沉积 约40 [23]
聚乙撑二氧噻吩(PEDOT) 涤纶纤维 PMMA 原位聚合 0.76 约70 [24]
AgNP PU纤维 原位还原 9.3×105 约450 [25]
CB PU纤维 天然橡胶 层层自组装 39 0.1~5 [1]
AgNP SEBS/凯夫拉编织丝 原位还原法 8.14 约200 [26]
GNP TPU非织造布 浸渍涂层 23 600 约98 [27]
还原氧化石墨烯 玻璃纤维织物 硅树脂 浸渍涂层 113 约1.4 [28]
还原氧化石墨烯 涤纶针织物 浸渍涂层 26 约15 [29]
还原氧化石墨烯 锦纶/PU针织物 浸渍涂层 18.5 约18 [30]
CNTs 棉针织物 超声波包覆 6 约20 [31]
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