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Triboelectric microplasma powered by mechanical stimuli

Author

Listed:
  • Jia Cheng

    (Georgia Institute of Technology
    Tsinghua University)

  • Wenbo Ding

    (Georgia Institute of Technology)

  • Yunlong Zi

    (Georgia Institute of Technology
    The Chinese University of Hong Kong, Shatin, N.T.)

  • Yijia Lu

    (Tsinghua University)

  • Linhong Ji

    (Tsinghua University)

  • Fan Liu

    (Tsinghua University)

  • Changsheng Wu

    (Georgia Institute of Technology)

  • Zhong Lin Wang

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

Abstract

Triboelectric nanogenerators (TENGs) naturally have the capability of high voltage output to breakdown gas easily. Here we present a concept of triboelectric microplasma by integrating TENGs with the plasma source so that atmospheric-pressure plasma can be powered only by mechanical stimuli. Four classical atmospheric-pressure microplasma sources are successfully demonstrated, including dielectric barrier discharge (DBD), atmospheric-pressure non-equilibrium plasma jets (APNP-J), corona discharge, and microspark discharge. For these types of microplasma, analysis of electric characteristics, optical emission spectra, COMSOL simulation and equivalent circuit model are carried out to explain transient process of different discharge. The triboelectric microplasma has been applied to patterned luminescence and surface treatment successfully as a first-step evaluation as well as to prove the system feasibility. This work offers a promising, facile, portable and safe supplement to traditional plasma sources, and will enrich the diversity of plasma applications based on the reach of existing technologies.

Suggested Citation

  • Jia Cheng & Wenbo Ding & Yunlong Zi & Yijia Lu & Linhong Ji & Fan Liu & Changsheng Wu & Zhong Lin Wang, 2018. "Triboelectric microplasma powered by mechanical stimuli," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06198-x
    DOI: 10.1038/s41467-018-06198-x
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    Cited by:

    1. Bai, Shanming & Cui, Juan & Zheng, Yongqiu & Li, Gang & Liu, Tingshan & Liu, Yabing & Hao, Congcong & Xue, Chenyang, 2023. "Electromagnetic-triboelectric energy harvester based on vibration-to-rotation conversion for human motion energy exploitation," Applied Energy, Elsevier, vol. 329(C).
    2. Jianxiong Zhu & Shanling Ji & Zhihao Ren & Wenyu Wu & Zhihao Zhang & Zhonghua Ni & Lei Liu & Zhisheng Zhang & Aiguo Song & Chengkuo Lee, 2023. "Triboelectric-induced ion mobility for artificial intelligence-enhanced mid-infrared gas spectroscopy," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Zhao, Chaoyang & Hu, Guobiao & Li, Xin & Liu, Zicheng & Yuan, Weifeng & Yang, Yaowen, 2023. "Wide-bandwidth triboelectric energy harvester combining impact nonlinearity and multi-resonance method," Applied Energy, Elsevier, vol. 348(C).
    4. Zhang, Liufeng & Zhang, Feibin & Qin, Zhaoye & Han, Qinkai & Wang, Tianyang & Chu, Fulei, 2022. "Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring," Energy, Elsevier, vol. 238(PB).

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