Research on a friction-electromagnetic hybrid self-powered vibration sensor for geological drilling

Vibration signals of the drill string during drilling are crucial for optimizing drilling process parameters. However, existing downhole vibration sensors have limitations in power supply, which reduces drilling efficiency and increases drilling costs. This study proposes a friction-electromagnetic hybrid vibration sensor with self-powering capability based on the principles of triboelectric nanogenerators and electromagnetic generators. It utilizes vibration-induced triboelectric generation and electromagnetic generation and measures vibration frequency based on the pulse of the triboelectric generation output signal. Experimental results show that the sensor’s operating frequency range is 0–10 Hz, the operating temperature is less than 150°C, the operating humidity is less than 90%, and the measurement error is less than 3.8%. When external loads of 10 MΩ and 700 Ω are connected in series with the triboelectric generation unit and the electromagnetic generation unit of the sensor, respectively, the maximum output power generation is 16.9 μW and 36.2 mW, respectively. Compared with traditional downhole vibration sensors, this sensor has the function of power generation, and the redundant structure of the measurement unit effectively improves the reliability of the sensor, making it more suitable for actual downhole conditions.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-11-14
DOI
https://doi.org/10.1177/09544062251392095
Primary Topic
Innovative Energy Harvesting Technologies
Type
article
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article

Research on a friction-electromagnetic hybrid self-powered vibration sensor for geological drilling

Jia Yan, Chuan Wu, Xianhong Shen, Yanjun Feng et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Innovative Energy Harvesting Technologies
article

Research on a friction-electromagnetic hybrid self-powered vibration sensor for geological drilling

Jia Yan, Chuan Wu, Xianhong Shen, Yanjun Feng, Z.H. Zuo
article en

Abstract

Vibration signals of the drill string during drilling are crucial for optimizing drilling process parameters. However, existing downhole vibration sensors have limitations in power supply, which reduces drilling efficiency and increases drilling costs. This study proposes a friction-electromagnetic hybrid vibration sensor with self-powering capability based on the principles of triboelectric nanogenerators and electromagnetic generators. It utilizes vibration-induced triboelectric generation and electromagnetic generation and measures vibration frequency based on the pulse of the triboelectric generation output signal. Experimental results show that the sensor’s operating frequency range is 0–10 Hz, the operating temperature is less than 150°C, the operating humidity is less than 90%, and the measurement error is less than 3.8%. When external loads of 10 MΩ and 700 Ω are connected in series with the triboelectric generation unit and the electromagnetic generation unit of the sensor, respectively, the maximum output power generation is 16.9 μW and 36.2 mW, respectively. Compared with traditional downhole vibration sensors, this sensor has the function of power generation, and the redundant structure of the measurement unit effectively improves the reliability of the sensor, making it more suitable for actual downhole conditions.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 240(3)
China University of Geosciences (CN), China University of Geosciences (Beijing) (CN), CCTEG Shenyang Research Institute (CN), Tiandi Science & Technology (China) (CN), China Coal Technology and Engineering Group Corp (China) (CN), China Coal Research Institute (China) (CN)
Openalex Percentile: Top 64%
Innovative Energy Harvesting Technologies
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Research on a friction-electromagnetic hybrid self-powered vibration sensor for geological drilling — Jia Yan, Chuan Wu, et al. · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2025) | TGRS Research Map | TGRS