Triboelectric Nanogenerator-Based Self-Powered Resonant Sensor for Non-Destructive Defect Detection

被引:15
|
作者
Chen, Jinkai [1 ]
Zhang, Chi [1 ]
Xuan, Weipeng [1 ]
Yu, Liyang [1 ]
Dong, Shurong [2 ]
Xie, Yuedong [3 ]
Yin, Wuliang [3 ]
Luo, Jikui [1 ,2 ,4 ]
机构
[1] Hangzhou Dianzi Univ, Minist Educ, Key Lab RF Circuits & Syst, Coll Elect & Informat, Hangzhou 310000, Zhejiang, Peoples R China
[2] Zhejiang Univ, Key Lab Adv Micro Nano Elect Devices & Smart Syst, Coll Informat Sci & Elect Engn, Hangzhou 310000, Zhejiang, Peoples R China
[3] Univ Manchester, Sch Elect & Elect Engn, Manchester M60 1QD, Lancs, England
[4] Univ Bolton, Inst Renewable Energy & Environm Technol, Deane Rd, Bolton BL3 5AB, England
基金
国家重点研发计划;
关键词
triboelectric; self-powered sensor; non-destructive testing; resonant; WIND ENERGY; GENERATOR;
D O I
10.3390/s19153262
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A triboelectric nanogenerator-based self-powered resonant sensor is proposed and investigated. By integrating an inductor and a microswitch with a triboelectric nanogenerator, a new type triboelectric nanogenerator is obtained, the pulse voltage output is converted to an oscillating signal with a very stable modulated resonant frequency, immune to the cross disturbance of contact-related variation (force, frequency, distance) and environmental variation, such as humidity and temperature. This is utilized for non-destructive defect detection. When the coil inductor scans the surface of a specimen with defects, varying resonant frequencies are obtained for different types of defects, showing excellent consistency between the experimental and simulated results. The results demonstrate the potential of the self-powered TENG-based resonant sensor to be a highly stable and sensitive magnetic sensor for the non-destructive defect detection applications.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Vibrational Triboelectric Nanogenerator-Based Multinode Self-Powered Sensor Network for Machine Fault Detection
    Li, Wenjian
    Liu, Yaoyao
    Wang, Shuwei
    Li, Wei
    Liu, Guoxu
    Zhao, Junqing
    Zhang, Xiaohan
    Zhang, Chi
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 25 (05) : 2188 - 2196
  • [2] A Triboelectric Nanogenerator-Based Wide Range Self-Powered Flexible Pressure Sensor
    Min, Guanbo
    Khandelwal, Gaurav
    Chirila, Radu
    Dahiya, Abhishek Singh
    Mulvihill, Daniel M.
    Dahiya, Ravinder S.
    IEEE Journal on Flexible Electronics, 2024, 3 (04): : 151 - 158
  • [3] A Self-Powered Multiphase Flow Detection Through Triboelectric Nanogenerator-Based Displacement Current
    Ma, Wenlong
    Wang, Peng
    Zhang, Baofeng
    Li, Xinyuna
    Gao, Yikui
    Zhao, Zhihao
    Liu, Di
    Li, Chengguo
    Wang, Jie
    ADVANCED ENERGY MATERIALS, 2024, 14 (18)
  • [4] Triboelectric Nanogenerator-Based Self-Powered Urinary Protein Detection Utilizing Triboelectric Material with Colorimetric Function
    Zhou, Qitao
    Xu, Wenxia
    Wang, Liang
    Wang, Suqi
    Pan, Jing
    Fang, Yimin
    Liang, Huageng
    Pan, Caofeng
    Xia, Fan
    ACS NANO, 2025, 19 (01) : 1566 - 1576
  • [5] Self-Powered Magnetic Sensor Based on a Triboelectric Nanogenerator
    Yang, Ya
    Lin, Long
    Zhang, Yue
    Jing, Qingshen
    Hou, Te-Chien
    Wang, Zhong Lin
    ACS NANO, 2012, 6 (11) : 10378 - 10383
  • [6] Reconfigurable Fiber Triboelectric Nanogenerator for Self-Powered Defect Detection
    Zhou, Liang
    Liu, Delei
    Ren, Lili
    Xue, Hao
    Li, Bo
    Niu, Shichao
    Liu, Qiang
    Han, Zhiwu
    Ren, Luquan
    ACS NANO, 2022, 16 (05) : 7721 - 7731
  • [7] Triboelectric Nanogenerator Based Self-Powered Tilt Sensor
    Iqbal, Faisal
    Shafi, Muhammad
    Khattak, Muhammad Irfan
    Nawaz, Aamir
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2018, 25 (02): : 325 - 328
  • [8] Self-Powered Humidity Sensor based on Triboelectric Nanogenerator
    Su, Yuanjie
    Xie, Guangzhong
    Wang, Si
    Tai, Huiling
    Zhang, Qiuping
    Du, Hongfei
    Du, Xiaosong
    Jiang, Yadong
    2017 IEEE SENSORS, 2017, : 1212 - 1214
  • [9] Machine learning-assisted triboelectric nanogenerator-based self-powered sensors
    Zhang, Renyun
    CELL REPORTS PHYSICAL SCIENCE, 2024, 5 (04):
  • [10] Triboelectric nanogenerator as self-powered impact sensor
    Garcia, Cristobal
    Trendafilova, Irina
    Guzman de Villoria, Roberto
    Sanchez del Rio, Jose
    INTERNATIONAL CONFERENCE ON ENGINEERING VIBRATION (ICOEV 2017), 2018, 148