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

Benjamin Steven Vien, Jaslyn Gray, Eliza Baddiley, Zane Hills, Pooia Lalbakhsh, Shang Xian Matthew Lee, Crispin Szydzik, Scott David Moss, Cedric Rosalie, Nik Rajic, Arnan Mitchell, Wing Kong Chiu

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper reports on an acoustic emission (AE) sensor based on relaxor ferroelectric single crystal (RFSC) transduction. The sensor crystal is arranged into a Linear Array for Modal Decomposition and Analysis (LAMDA), with the sensor interrogated by a bespoke high-bandwidth instrument. The efficacy of RFSC LAMDA sensors is showcased through a series of comparative experiments, which include the simultaneous acquisition of pencil lead break (PLB) AEs in a 1.6 mm thick aluminium plate using RFSC LAMDA, a wideband commercial sensor, and laser vibrometry. Subsequent modal decomposition and analysis of the PLB AE signals, as detected by RFSC LAMDA, identified the guided wave modes below 1.4 MHz. Furthermore, it was found that RFSC LAMDA exhibits, on average, 26.6 times greater improvement in sensitivity compared with polyvinylidene fluoride LAMDA variant with near-identical geometry.

Original languageEnglish
Article number107515
Number of pages6
JournalUltrasonics
Volume147
DOIs
Publication statusPublished - Mar 2025

Keywords

  • Acoustic emission
  • Modal decomposition
  • Pencil lead break
  • Relaxor ferroelectric single crystal linear array

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