IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-16642-6.html
   My bibliography  Save this article

Shape adaptable and highly resilient 3D braided triboelectric nanogenerators as e-textiles for power and sensing

Author

Listed:
  • Kai Dong

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xiao Peng

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Jie An

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Aurelia Chi Wang

    (Georgia Institute of Technology)

  • Jianjun Luo

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Baozhong Sun

    (Donghua University)

  • Jie Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Zhong Lin Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Georgia Institute of Technology)

Abstract

Combining traditional textiles with triboelectric nanogenerators (TENGs) gives birth to self-powered electronic textiles (e-textiles). However, there are two bottlenecks in their widespread application, low power output and poor sensing capability. Herein, by means of the three-dimensional five-directional braided (3DB) structure, a TENG-based e-textile with the features of high flexibility, shape adaptability, structural integrity, cyclic washability, and superior mechanical stability, is designed for power and sensing. Due to the spatial frame-column structure formed between the outer braided yarn and inner axial yarn, the 3DB-TENG is also endowed with high compression resilience, enhanced power output, improved pressure sensitivity, and vibrational energy harvesting ability, which can power miniature wearable electronics and respond to tiny weight variations. Furthermore, an intelligent shoe and an identity recognition carpet are demonstrated to verify its performance. This study hopes to provide a new design concept for high-performance textile-based TENGs and expand their application scope in human-machine interfacing.

Suggested Citation

  • Kai Dong & Xiao Peng & Jie An & Aurelia Chi Wang & Jianjun Luo & Baozhong Sun & Jie Wang & Zhong Lin Wang, 2020. "Shape adaptable and highly resilient 3D braided triboelectric nanogenerators as e-textiles for power and sensing," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16642-6
    DOI: 10.1038/s41467-020-16642-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-16642-6
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-020-16642-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Changjun Jia & Yongsheng Zhu & Fengxin Sun & Yuzhang Wen & Qi Wang & Ying Li & Yupeng Mao & Chongle Zhao, 2022. "Gas-Supported Triboelectric Nanogenerator Based on In Situ Gap-Generation Method for Biomechanical Energy Harvesting and Wearable Motion Monitoring," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
    2. Sijing Zhu & Zheng Fan & Baoquan Feng & Runze Shi & Zexin Jiang & Ying Peng & Jie Gao & Lei Miao & Kunihito Koumoto, 2022. "Review on Wearable Thermoelectric Generators: From Devices to Applications," Energies, MDPI, vol. 15(9), pages 1-27, May.
    3. Hyung Woo Choi & Dong-Wook Shin & Jiajie Yang & Sanghyo Lee & Cátia Figueiredo & Stefano Sinopoli & Kay Ullrich & Petar Jovančić & Alessio Marrani & Roberto Momentè & João Gomes & Rita Branquinho & Um, 2022. "Smart textile lighting/display system with multifunctional fibre devices for large scale smart home and IoT applications," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Shaomei Lin & Weifeng Yang & Xubin Zhu & Yubin Lan & Kerui Li & Qinghong Zhang & Yaogang Li & Chengyi Hou & Hongzhi Wang, 2024. "Triboelectric micro-flexure-sensitive fiber electronics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    5. Xun Zhao & Yihao Zhou & Jing Xu & Guorui Chen & Yunsheng Fang & Trinny Tat & Xiao Xiao & Yang Song & Song Li & Jun Chen, 2021. "Soft fibers with magnetoelasticity for wearable electronics," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    6. Yijie Liu & Xiaodong Wang & Shuaihang Hou & Zuoxu Wu & Jian Wang & Jun Mao & Qian Zhang & Zhiguo Liu & Feng Cao, 2023. "Scalable-produced 3D elastic thermoelectric network for body heat harvesting," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16642-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.