| Literature DB >> 36014655 |
Xili Huang1, Cheng Zhang2, Hongchen Pang2, Zhiqiang Zhao1, Qianxi Zhang2, Xiaoning Li2, Xianzhang Wang2, Fang Lin1, Bo Li1, Xinxiang Pan1.
Abstract
Vibration measurement and analysis play an important role in diagnosing mechanical faults, but existing vibration sensors are limited by issues such as dependence on external power sources and high costs. To overcome these challenges, the use of triboelectric nanogenerator (TENG)-based vibration sensors has recently attracted attention. These vibration sensors measure a small range of vibration frequencies and are not suitable for measuring high-frequency vibrations. Herein, a self-powered vibration sensor based on an elastic steel triboelectric nanogenerator (ES-TENG) is proposed. By optimizing the elastic steel sheet structure and combining time-frequency transformation and filtering processing methods, the measurement of medium- and high-frequency vibrations is achieved. These results demonstrate that the ES-TENG can perform vibration measurements in the range of 2-10,000 Hz, with a small average error (~0.42%) between the measured frequency and external vibration frequency values. Therefore, the ES-TENG can be used as a self-powered, highly-accurate vibration sensor for intelligent machinery monitoring.Entities:
Keywords: condition monitoring; high-frequency; triboelectric-nanogenerator; vibration sensor
Year: 2022 PMID: 36014655 PMCID: PMC9415981 DOI: 10.3390/nano12162790
Source DB: PubMed Journal: Nanomaterials (Basel) ISSN: 2079-4991 Impact factor: 5.719
The conditions and performance of different TENG-based vibration sensors.
| Ref. | Frequency Range/Hz | Amplitude Range/mm | Maximum Voltage/V | Maximum Current/μA | Maximum Charges/nC | Maximum Power Density |
|---|---|---|---|---|---|---|
| [ | 1–8 | - | 70 | 33 | 2.9 | - |
| [ | 10–50 | 1–8 | 32.5 | 1.6 | 3.5 | 3 W/m2 |
| [ | 1–15 | 0–16 | 165 | 2.0 | - | 17 mW/m2 |
| [ | 0–1200 | - | 200 | 0.9 | - | - |
| This Work | 2–10,000 | 0–5 | 15 | 0.9 | 4.8 | - |
Figure 1Application scenario and specific structure of the elastic steel triboelectric nanogenerator (ES−TENG) sensor. (a) Application scenario of ES−TENG; (b) explosive view of ES−TENG; (c) photograph of ES−TENG.
Figure 2Working principle and simulation of the ES−TENG sensor. (a) Working principle of the ES−TENG; (b) simulation graphic of COMSOL Multiphysics; (c) force analysis diagram of elastic steel.
Figure 3Schematic of the experimental apparatus for assessing ES−TENG sensor performance.
Figure 4Output performance of ES−TENG sensors (hollow and original) at different frequencies with a fixed amplitude of 2 mm: (a) V, (b) short-circuit current, and (c) transferred charge. (d) FFT results of the applied vibration frequency and V signals; (e) V values of ES−TENG at different vibration directions; (f) voltage variation curves for different accelerations at 50 Hz.
Figure 5Working range of the ES−TENG sensor. (a) Comparison between the original and filtered voltage signals of ES−TENG at 950 Hz; (b) corresponding spectrograms; (c) voltage values of ES−TENG with different amplitudes at 2–10 Hz. FFT plots of V signals: (d) 2–10 Hz; (e) 10–1000 Hz; (f) 1000–10,000 Hz.
Figure 6Practical application of ES−TENG. (a) ES−TENG installed on the air compressor; (b) monitoring of the working condition of the air compressor; (c) endurance test results.