Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/166411
Title: | Liquid metal enabled elastic conductive fibers for self-powered wearable sensors | Authors: | Zhang, Yue Zhang, Desuo Chen, Yuyue Lin, Hong Zhou, Xinran Zhang, Yufan Xiong, Jiaqing |
Keywords: | Engineering::Materials | Issue Date: | 2023 | Source: | 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 | Journal: | Advanced Materials Technologies | Abstract: | 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. | URI: | https://hdl.handle.net/10356/166411 | ISSN: | 2365-709X | DOI: | 10.1002/admt.202202030 | Schools: | School of Materials Science and Engineering | Rights: | © 2023 Wiley-VCH GmbH. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | MSE Journal Articles |
SCOPUSTM
Citations
20
16
Updated on May 2, 2025
Page view(s)
199
Updated on May 2, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.