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Piezoelectric Wafer Active Sensor Transducers for Acoustic Emission Applications
Connor Griffin1, Victor Giurgiutiu1
1Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA.
A novel pitch-catch method effectively verifies the quality of piezoelectric wafer active sensors (PWASs) for structural health monitoring (SHM). This method detects defects in sensors and bonding, offering insights into their performance in SHM applications.
Area of Science:
- Materials Science
- Mechanical Engineering
- Structural Health Monitoring
Background:
- Piezoelectric materials generate charge under mechanical strain, enabling sensing applications.
- Structural Health Monitoring (SHM) uses sensors to detect damage in infrastructure.
- Piezoelectric Wafer Active Sensors (PWASs) are increasingly used for SHM.
Purpose of the Study:
- Investigate a novel pitch-catch method for assessing PWAS instrumentation quality.
- Analyze the impact of defects in PWASs and their bonding on sensor response.
- Compare the pitch-catch method with the electromechanical impedance (EMI) method for defect detection.
Main Methods:
- Developed and applied a pitch-catch method to evaluate PWASs.
- Introduced defects in PWASs and bonding layers to simulate real-world conditions.
- Recorded and analyzed transmitted and received signals, as well as impedance spectra.
Main Results:
- The pitch-catch method successfully verified defect-free PWAS instrumentation and bonding.
- Defective PWASs and bonding resulted in reduced signal amplitude and altered frequency spectrums.
- The pitch-catch method identified specific signal changes for bonding defects (eliminated high frequencies) and broken PWASs (600 kHz amplitude increase).
- The EMI method showed distinct changes in impedance peaks for bonding defects and broken sensors.
Conclusions:
- The pitch-catch method is a viable technique for evaluating PWAS quality in SHM.
- Sensor and bonding defects significantly alter PWAS signal characteristics.
- Both pitch-catch and EMI methods can detect PWAS defects, but with different observable signatures.
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