Self-Powered Speed Sensor for Turbodrills Based on Triboelectric Nanogenerator

被引:10
|
作者
Wu, Chuan [1 ,2 ,3 ]
Fan, Chenxing [1 ]
Wen, Guojun [1 ]
机构
[1] China Univ Geosci Wuhan, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R China
[2] Cent S Univ, Key Lab Metallogen Predict Nonferrous Met & Geol, Minist Educ, Changsha 410012, Hunan, Peoples R China
[3] Univ Duisburg Essen, Chair Mech & Robot, D-47057 Duisburg, Germany
基金
中国博士后科学基金;
关键词
speed sensor; triboelectric nanogenerator (TENG); turbodrills; self-powered;
D O I
10.3390/s19224889
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Turbodrills play an important role in underground energy mining. The downhole rotational speed of turbodrills is one of the key parameters for controlling the drilling technology. Therefore, it is necessary to measure the rotational speed of the turbodrills in real time. However, there is no dedicated speed sensor for the working environment of turbodrills at present. Therefore, based on the working principle of triboelectric nanogenerator (TENG), a self-powered speed sensor which can measure the speed of the turbodrills is proposed in this study. Besides, since the sensor is self-powered, it can operate without power supply. According to the laboratory test results, the measurement error of the sensor is less than 5%. In addition, the self-powered performance of the sensor was also explored in this study. The test shows that the maximum generating voltage of the sensor is about 27 V, the maximum current is about 7 mu A, the maximum power is about 2 x 10(-4) W, and the generated electricity can supply power for ten LED (light-emitting diode), which not only meets the power supply requirements of the sensor itself, but also makes it possible to further power other underground instruments.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Self-Powered Multifunctional Sensor of Positive Displacement Motor Based on Triboelectric Nanogenerator
    Kong, Lingrong
    Wang, Yu
    Wu, Chuan
    Yang, Shuo
    IEEE SENSORS JOURNAL, 2021, 21 (17) : 18593 - 18600
  • [32] Self-Powered Downhole Drilling Tools Vibration Sensor Based on Triboelectric Nanogenerator
    Liu, Jinrun
    Huang, He
    Zhou, Qing
    Wu, Chuan
    IEEE SENSORS JOURNAL, 2022, 22 (03) : 2250 - 2258
  • [33] Fabrication and characterization of self-powered active hydrogen sensor based on triboelectric nanogenerator
    Iftekhar, A. S. M.
    Chung, Gwiy-Sang
    PROCEEDINGS OF THE 30TH ANNIVERSARY EUROSENSORS CONFERENCE - EUROSENSORS 2016, 2016, 168 : 239 - 242
  • [34] Self-powered ammonia nanosensor based on the integration of the gas sensor and triboelectric nanogenerator
    Cui, Siwen
    Zheng, Youbin
    Zhang, Tingting
    Wang, Daoai
    Zhou, Feng
    Liu, Weimin
    NANO ENERGY, 2018, 49 : 31 - 39
  • [35] A wide range self-powered flexible pressure sensor based on triboelectric nanogenerator
    Min, Guanbo
    Dahiya, Abhishek Singh
    Mulvihill, Daniel M.
    Dahiya, Ravinder
    PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON FLEXIBLE AND PRINTABLE SENSORS AND SYSTEMS (FLEPS), 2021,
  • [36] A self-powered vibration sensor based on the coupling of triboelectric nanogenerator and electromagnetic generator
    Fang, Lin
    Zheng, Qiwei
    Hou, Wenchi
    Zheng, Li
    Li, Hexing
    NANO ENERGY, 2022, 97
  • [37] A Self-Powered Sport Sensor Based on Triboelectric Nanogenerator for Fosbury Flop Training
    Geng, Fengjie
    Huo, Xiaoliang
    JOURNAL OF SENSORS, 2022, 2022
  • [38] A self-powered wearable sensor for infant fall detection based on triboelectric nanogenerator
    Hu, Luoke
    Meng, Hui
    Xu, Zhonggui
    Wang, Yong
    APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2025, 131 (03):
  • [39] Research on Self-powered Low Frequency Vibration Sensor Based on Triboelectric Nanogenerator
    Wei, Bin
    Pang, Hongchen
    Yang, Fang
    Zhao, Zhiqiang
    Zhong, Yinghao
    Huang, Xili
    Lin, Fang
    Pan, Xinxiang
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2022, 58 (20): : 158 - 165
  • [40] Self-powered pressure sensors based on triboelectric nanogenerator
    Xu, Mengfei
    Tao, Kai
    Chen, Zhensheng
    Chen, Hao
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 3498 - 3501