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Wireless bubble detection enabled by triboelectric discharge

Kejian Dong, Donglin Hu, Sina Li, Sihong He, Haoyu Wang, Yingtao Sun, Chaojie Chen, Jingtan Chen, Xin Xia, Yunlong Zi*, Jiyun Zhao*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Bubble detection plays a crucial role in various industrial applications. Precise bubble detection can help improve safety and prevent accidents, e.g., heat transfer deterioration, flow instability, and pernicious air injection. Herein, we proposed a self-powered wireless bubble detection strategy induced by triboelectric energy conversion, which exerted a negligible impact on bubble movement and did not require the elimination of the near-wall liquid film. The rotation free-standing triboelectric nanogenerator (RF-TENG) provided an alternating high-voltage source to activate the air breakdown between the tip-to-tip probe. The breakdown time when the bubble crossed the probe represented the bubble duration and length. The robust linear relationships among the detection parameters under stationary deionized water, solutions with varied viscosities, and flowing conditions were demonstrated. A wireless transmission performance with a long distance of over 8.3 m was achieved, illustrating the good adaptability of the bubble detection system in various complex environments. The proposed self-powered wireless bubble detection strategy shows promising potential applications in boiling two-phase system, chemical engineering industry, and biomedical system. © 2025 Elsevier Ltd.
Original languageEnglish
Article number111159
Number of pages9
JournalNano Energy
Volume142
Issue numberPart A
Online published23 May 2025
DOIs
Publication statusPublished - Sept 2025

Funding

The authors are grateful for the support of Natural Science Foundation of Guangdong Province, China, Grant/Award Number: 2020a15110753; Guangdong S&T Program, Grant/Award Number: 2021B0101250002, Guangdong Natural Science Foundation Outstanding Youth Fund (Project No. 2023B1515020074), and Guangzhou-HKUST(GZ) Joint Funding Project (Grant No. 2024A03J0466).

Research Keywords

  • Triboelectric discharge
  • Bubble detection
  • Wireless
  • Self-powered

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