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Acoustic emission detection and modal decomposition using a relaxor ferroelectric single crystal linear array.

Benjamin Steven Vien1, Jaslyn Gray2, Eliza Baddiley3

  • 1Monash University, Department of Mechanical and Aerospace Engineering, Wellington Rd, Clayton, Victoria 3800, Australia.

Ultrasonics
|November 24, 2024
PubMed
Summary

This study introduces a novel acoustic emission sensor using relaxor ferroelectric single crystals (RFSC) in a Linear Array for Modal Decomposition and Analysis (LAMDA). RFSC LAMDA sensors demonstrate significantly higher sensitivity for detecting guided wave modes.

Keywords:
Acoustic emissionModal decompositionPencil lead breakRelaxor ferroelectric single crystal linear array

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Area of Science:

  • Materials Science
  • Acoustics
  • Sensor Technology

Background:

  • Acoustic emission (AE) sensing is crucial for structural health monitoring.
  • Existing sensors face limitations in sensitivity and modal analysis capabilities.
  • Relaxor ferroelectric single crystals (RFSC) offer potential for advanced transduction.

Purpose of the Study:

  • To develop and evaluate an AE sensor based on RFSC.
  • To assess the sensor's capability for modal decomposition and analysis.
  • To compare the performance of RFSC-based sensors with existing technologies.

Main Methods:

  • Fabrication of a Linear Array for Modal Decomposition and Analysis (LAMDA) using RFSC.
  • Interrogation of the RFSC LAMDA sensor with a high-bandwidth instrument.
  • Comparative experiments involving pencil lead break (PLB) AE acquisition using RFSC LAMDA, a commercial sensor, and laser vibrometry.

Main Results:

  • Successful identification of guided wave modes below 1.4 MHz using RFSC LAMDA.
  • RFSC LAMDA demonstrated an average sensitivity improvement of 26.6 times over a polyvinylidene fluoride LAMDA variant.
  • Comparative analysis confirmed the efficacy of RFSC LAMDA in AE signal acquisition.

Conclusions:

  • RFSC-based LAMDA sensors represent a significant advancement in AE sensing technology.
  • The developed sensor array enables effective modal decomposition and analysis of AE signals.
  • Enhanced sensitivity of RFSC LAMDA opens new possibilities for structural health monitoring applications.