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Research Article

Woven fabric triboelectric nanogenerators for human–computer interaction and physical health monitoring

Yu Miao1,2,§, Mengjuan Zhou2,§, Jia Yi3, Yanyan Wang1, Guangjin Tian1, Hongxia Zhang1, Wenlong Huang1,2, Wenhao Wang1, Ronghui Wu2( ), Liyun Ma1,4( )
College of Textile and Clothing, Xinjiang University, Urumqi 830046, China
College of Textiles, Donghua University, Shanghai 201620, China
College of Physics, Xiamen University, Xiamen 201620, China
Department of Bioengineering, Imperial College London, London SW7 2AZ, UK

§ Yu Miao and Mengjuan Zhou contributed equally to this work.

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Abstract

Triboelectric nanogenerator (TENG) converts mechanical energy into valuable electrical energy, offering a solution for future energy needs. As an indispensable part of TENG, textile TENG (T-TENG) has incredible advantages in harvesting biomechanical energy and physiological signal monitoring. However, the application of T-TENG is restricted, partly because the fabric structure parameter and structure on T-TENG performance have not been fully exploited. This study comprehensively investigates the effect of weaving structure on fabric TENGs (F-TENGs) for direct-weaving yarn TENGs and post-coating fabric TENGs. For direct-weaving F-TENGs, a single-yarn TENG (Y-TENG) with a core–sheath structure is fabricated using conductive yarn as the core layer yarn and polytetrafluoroethylene (PTFE) filaments as the sheath yarn. Twelve fabrics with five different sets of parameters were designed and investigated. For post-coating F-TENGs, fabrics with weaving structures of plain, twill, satin, and reinforced twill were fabricated and coated with conductive silver paint. Overall, the twill F-TENGs have the best electrical outputs, followed by the satin F-TENGs and plain weave F-TENGs. Besides, the increase of the Y-TENG gap spacing was demonstrated to improve the electrical output performance. Moreover, T-TENGs are demonstrated for human–computer interaction and self-powered real-time monitoring. This systematic work provides guidance for the future T-TENG’s design.

Graphical Abstract

Fabric parameters, such as yarn amounts, yarn parallel spacing gaps, and weaving structures, have a substantial impact on the electric outputs and applications of textile triboelectric nanogenerators (T-TENGs). The experiments and data analysis presented in this article offer guidance for future T-TENG structure design, which is demonstrated for human-computer interaction and self-powered real-time monitoring.

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Nano Research
Pages 5540-5548

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Cite this article:
Miao Y, Zhou M, Yi J, et al. Woven fabric triboelectric nanogenerators for human–computer interaction and physical health monitoring. Nano Research, 2024, 17(6): 5540-5548. https://doi.org/10.1007/s12274-024-6410-2
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Received: 22 August 2023
Revised: 02 November 2023
Accepted: 12 December 2023
Published: 29 January 2024
© Tsinghua University Press 2024