Constructing Anisotropic Conductive Networks inside Hollow Elastic Fiber with High Sensitivity and Wide-Range Linearity by Cryo-spun Drying Strategy

IF 17.2 1区 工程技术 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Along Zheng, Kening Wan, Yuwen Huang, Yanyan Ma, Tao Ding, Yong Zheng, Ziyin Chen, Qichun Feng, Zhaofang Du
{"title":"Constructing Anisotropic Conductive Networks inside Hollow Elastic Fiber with High Sensitivity and Wide-Range Linearity by Cryo-spun Drying Strategy","authors":"Along Zheng, Kening Wan, Yuwen Huang, Yanyan Ma, Tao Ding, Yong Zheng, Ziyin Chen, Qichun Feng, Zhaofang Du","doi":"10.1007/s42765-024-00460-2","DOIUrl":null,"url":null,"abstract":"<p>Stretchable conductive fibers composed of conductive materials and elastic substrates have advantages such as braiding ability, electrical conductivity, and high resilience, making them ideal materials for fibrous wearable strain sensors. However, the weak interface between the conductive materials and elastic substrates restricts fibers flexibility under strain, leading to challenges in achieving both linearity and sensitivity of the as-prepared fibrous strain sensor. Herein, cryo-spun drying strategy is proposed to fabricate the thermoplastic polyurethane (TPU) fiber with anisotropic conductive networks (ACN@TPU fiber). Benefiting from the excellent mechanical properties of TPU, and the excellent interface among TPU, silver nanoparticles (AgNPs) and polyvinyl alcohol (PVA), the prepared ACN@TPU fiber exhibits an outstanding mechanical performance. The anisotropic conductive networks enable the ACN@TPU fiber to achieve high sensitivity (gauge factor, <span>\\(GF\\)</span> = 4.68) and excellent linearity within a wide working range (100% strain). Furthermore, mathematical model based on AgNPs is established and the resistance calculation equation is derived, with a highly matched fitting and experimental results (<span>\\(R^{2}\\)</span> = 0.998). As a conceptual demonstration, the ACN@TPU fiber sensor is worn on a mannequin to accurately and instantly detect movements. Therefore, the successful construction of ACN@TPU fiber with anisotropic conductive networks through the cryo-spun drying strategy provides a feasible approach for the design and preparation of fibrous strain sensing materials with high linearity and high sensitivity.</p><h3 data-test=\"abstract-sub-heading\">Graphical Abstract</h3>","PeriodicalId":459,"journal":{"name":"Advanced Fiber Materials","volume":"12 1","pages":""},"PeriodicalIF":17.2000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Fiber Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s42765-024-00460-2","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Stretchable conductive fibers composed of conductive materials and elastic substrates have advantages such as braiding ability, electrical conductivity, and high resilience, making them ideal materials for fibrous wearable strain sensors. However, the weak interface between the conductive materials and elastic substrates restricts fibers flexibility under strain, leading to challenges in achieving both linearity and sensitivity of the as-prepared fibrous strain sensor. Herein, cryo-spun drying strategy is proposed to fabricate the thermoplastic polyurethane (TPU) fiber with anisotropic conductive networks (ACN@TPU fiber). Benefiting from the excellent mechanical properties of TPU, and the excellent interface among TPU, silver nanoparticles (AgNPs) and polyvinyl alcohol (PVA), the prepared ACN@TPU fiber exhibits an outstanding mechanical performance. The anisotropic conductive networks enable the ACN@TPU fiber to achieve high sensitivity (gauge factor, \(GF\) = 4.68) and excellent linearity within a wide working range (100% strain). Furthermore, mathematical model based on AgNPs is established and the resistance calculation equation is derived, with a highly matched fitting and experimental results (\(R^{2}\) = 0.998). As a conceptual demonstration, the ACN@TPU fiber sensor is worn on a mannequin to accurately and instantly detect movements. Therefore, the successful construction of ACN@TPU fiber with anisotropic conductive networks through the cryo-spun drying strategy provides a feasible approach for the design and preparation of fibrous strain sensing materials with high linearity and high sensitivity.

Graphical Abstract

Abstract Image

通过冷冻纺丝干燥策略在中空弹性纤维内构建具有高灵敏度和宽范围线性度的各向异性导电网络
由导电材料和弹性基底组成的可拉伸导电纤维具有编织能力、导电性和高弹性等优点,是纤维可穿戴应变传感器的理想材料。然而,导电材料与弹性基底之间的界面较弱,限制了纤维在应变下的柔韧性,导致制备的纤维应变传感器在实现线性和灵敏度方面面临挑战。本文提出了低温纺丝干燥策略,以制造具有各向异性导电网络的热塑性聚氨酯(TPU)纤维(ACN@TPU 纤维)。得益于热塑性聚氨酯优异的机械性能,以及热塑性聚氨酯、银纳米粒子(AgNPs)和聚乙烯醇(PVA)之间良好的界面,所制备的 ACN@TPU 纤维表现出卓越的机械性能。各向异性的导电网络使 ACN@TPU 纤维在较宽的工作范围(100% 应变)内实现了高灵敏度(测量系数,\(GF\) = 4.68)和优异的线性度。此外,还建立了基于 AgNPs 的数学模型,并推导出电阻计算公式,其拟合结果与实验结果高度吻合((R^{2}\)= 0.998)。作为概念性演示,ACN@TPU 纤维传感器被佩戴在人体模型上,可以准确、即时地检测运动。因此,通过低温纺丝干燥策略成功构建了具有各向异性导电网络的ACN@TPU纤维,为设计和制备具有高线性度和高灵敏度的纤维应变传感材料提供了可行的方法。 图文摘要
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
18.70
自引率
11.20%
发文量
109
期刊介绍: Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al. Publishing on fiber or fiber-related materials, technology, engineering and application.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信