Liquid metal enabled elastic conductive fibers for self-powered wearable sensors

Realizing stretchable conductive fibers with a trade-off between stretchability and conductivity is important for wearables. Fibrous triboelectric nanogenerators (FTENGs) represent a promising device for wearable power sources and self-powered sensors. However, the relationship between conductivity...

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Main Authors: Zhang, Yue, Zhang, Desuo, Chen, Yuyue, Lin, Hong, Zhou, Xinran, Zhang, Yufan, Xiong, Jiaqing
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/166411
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1664112023-04-24T08:44:13Z Liquid metal enabled elastic conductive fibers for self-powered wearable sensors Zhang, Yue Zhang, Desuo Chen, Yuyue Lin, Hong Zhou, Xinran Zhang, Yufan Xiong, Jiaqing School of Materials Science and Engineering Engineering::Materials Elastic Conductive Fiber Liquid Metal Realizing stretchable conductive fibers with a trade-off between stretchability and conductivity is important for wearables. Fibrous triboelectric nanogenerators (FTENGs) represent a promising device for wearable power sources and self-powered sensors. However, the relationship between conductivity and triboelectric outputs of FTENG remains unfathomed. Herein, a simple strategy for fabricating stretchable conductive fibers with binary rigid-soft conductive components and dynamic compensation conductive capability is reported. Wet-spun thermoplastic polyurethane (TPU)/silver flakes (AgFKs) (TA) composite fiber is fabricated and coated by a water-borne polyurethane (WPU) thin layer, bridging the subsequent liquid metal (LM) coating to obtain TPU/AgFKs/WPU/LM (TAWL) fibers. The TAWL fiber shows outstanding elongation (~600% strain), electrical conductivity of ~2 Ω cm−1 (~3125 S cm−1), and reversible resistance response within 70% tensile strain. Encapsulated by polydimethylsiloxane (PDMS), the TAWL fiber is demonstrated as single electrode FTENG with the maximum output voltage, current, and transferred charge of 7.5 V, 167 nA, and 3.2 nC, respectively. The FTENG shows 150% stretchability without output dropping, demonstrating the superiority of TAWL fibers to sustain large deformation and conductivity degradation but maintain stable triboelectric outputs. As self-powered sensors, the FTENG can detect joint bending such as for fingers, elbows, and knees, as well as for pressure and location identification. This work was supported by Key Laboratory of Textile Science & Technology (Donghua University), Ministry of Education (2232022G-01), and National Natural Science Foundation of China (52103254, 52273244). 2023-04-24T08:44:13Z 2023-04-24T08:44:13Z 2023 Journal Article Zhang, Y., Zhang, D., Chen, Y., Lin, H., Zhou, X., Zhang, Y. & Xiong, J. (2023). Liquid metal enabled elastic conductive fibers for self-powered wearable sensors. Advanced Materials Technologies. https://dx.doi.org/10.1002/admt.202202030 2365-709X https://hdl.handle.net/10356/166411 10.1002/admt.202202030 2-s2.0-85147215151 en Advanced Materials Technologies © 2023 Wiley-VCH GmbH. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Materials
Elastic Conductive Fiber
Liquid Metal
spellingShingle Engineering::Materials
Elastic Conductive Fiber
Liquid Metal
Zhang, Yue
Zhang, Desuo
Chen, Yuyue
Lin, Hong
Zhou, Xinran
Zhang, Yufan
Xiong, Jiaqing
Liquid metal enabled elastic conductive fibers for self-powered wearable sensors
description Realizing stretchable conductive fibers with a trade-off between stretchability and conductivity is important for wearables. Fibrous triboelectric nanogenerators (FTENGs) represent a promising device for wearable power sources and self-powered sensors. However, the relationship between conductivity and triboelectric outputs of FTENG remains unfathomed. Herein, a simple strategy for fabricating stretchable conductive fibers with binary rigid-soft conductive components and dynamic compensation conductive capability is reported. Wet-spun thermoplastic polyurethane (TPU)/silver flakes (AgFKs) (TA) composite fiber is fabricated and coated by a water-borne polyurethane (WPU) thin layer, bridging the subsequent liquid metal (LM) coating to obtain TPU/AgFKs/WPU/LM (TAWL) fibers. The TAWL fiber shows outstanding elongation (~600% strain), electrical conductivity of ~2 Ω cm−1 (~3125 S cm−1), and reversible resistance response within 70% tensile strain. Encapsulated by polydimethylsiloxane (PDMS), the TAWL fiber is demonstrated as single electrode FTENG with the maximum output voltage, current, and transferred charge of 7.5 V, 167 nA, and 3.2 nC, respectively. The FTENG shows 150% stretchability without output dropping, demonstrating the superiority of TAWL fibers to sustain large deformation and conductivity degradation but maintain stable triboelectric outputs. As self-powered sensors, the FTENG can detect joint bending such as for fingers, elbows, and knees, as well as for pressure and location identification.
author2 School of Materials Science and Engineering
author_facet School of Materials Science and Engineering
Zhang, Yue
Zhang, Desuo
Chen, Yuyue
Lin, Hong
Zhou, Xinran
Zhang, Yufan
Xiong, Jiaqing
format Article
author Zhang, Yue
Zhang, Desuo
Chen, Yuyue
Lin, Hong
Zhou, Xinran
Zhang, Yufan
Xiong, Jiaqing
author_sort Zhang, Yue
title Liquid metal enabled elastic conductive fibers for self-powered wearable sensors
title_short Liquid metal enabled elastic conductive fibers for self-powered wearable sensors
title_full Liquid metal enabled elastic conductive fibers for self-powered wearable sensors
title_fullStr Liquid metal enabled elastic conductive fibers for self-powered wearable sensors
title_full_unstemmed Liquid metal enabled elastic conductive fibers for self-powered wearable sensors
title_sort liquid metal enabled elastic conductive fibers for self-powered wearable sensors
publishDate 2023
url https://hdl.handle.net/10356/166411
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