A Highly Sensitive Triboelectric Quasi-Zero Stiffness Vibration Sensor with Ultrawide Frequency Response

Area of Science:

• Materials Science
• Nanoscience
• Mechanical Engineering

Background:

• Triboelectric nanogenerators (TENGs) are low-cost, self-powering sensors gaining interest.
• Existing triboelectric vibration sensors (TVS) often have limited frequency ranges and sensitivity.

Purpose of the Study:

• To develop a highly sensitive vibration sensor based on TENG (HSVS-TENG) with an ultrawide frequency response.
• To improve the sensitivity and frequency range of TVS for enhanced vibration detection.

Main Methods:

• Introduction of a quasi-zero stiffness structure into the TENG.
• Optimization of magnetic induction intensity and the weight of the moving part.
• Utilizing machine-learning algorithms for fault diagnosis.

Main Results:

• The HSVS-TENG measures vibrations from 2.5 to 4000 Hz with sensitivity from 0.32 to 134.9 V g⁻¹.
• The sensor demonstrates a good linear response (0.08 to 2.81 V g⁻¹) to applied acceleration.
• Achieved 98.9% accuracy in monitoring running states and identifying fault types using machine learning.

Conclusions:

• The developed HSVS-TENG achieves a new benchmark for ultrawide frequency response and high sensitivity in TVS.
• The sensor's performance provides a foundation for future high-resolution vibration monitoring systems.
• The study offers a novel approach for enhancing TENG-based vibration sensing capabilities.