Acoustic emission monitoring of composite marine propeller blades using embedded piezoelectric sensors and hydrophones

A.J. Huijer*, C. Kassapoglou, Lotfollah Pahlavan

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

18 Downloads (Pure)

Abstract

The marine industry is increasingly considering the use of flexible composite marine propellers for their potential to reduce carbon emissions and underwater radiated noise. Given the early stage of development of flexible composite propellers, there are unknowns on their structural degradation. Structural health monitoring (SHM) can provide additional insight into the occurrence and propagation of degradation in these structures. A passive and lightweight method of SHM is the measurement and processing of acoustic emissions (AE) that are induced by different degradation mechanisms. The current research investigates the measurement of AE signals in composite marine propeller blades using embedded piezoelectric sensors. A full-scale glass-fibre polymer composite propeller blade is suspended in a tank filled with artificial seawater. The propeller blade contains 24 embedded piezoelectric sensors that were installed between laminas during manufacturing. Additionally, the tank includes an array of hydrophones for validation of the results. AE signals are simulated on the blade using underwater pencil lead breaks. The measured AE signals are assessed for their amplitude and frequency content. The results demonstrate the feasibility of measuring AE signals in composite marine propeller blades using embedded piezoelectric sensors and hydrophones.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
Journale-Journal of Nondestructive Testing
DOIs
Publication statusPublished - 2024
Event11th European Workshop on Structural Health Monitoring - Potsdam, Germany
Duration: 10 Jun 202413 Jun 2024
https://ewshm2024.com/frontend/index.php

Keywords

  • acoustic emission
  • composite marine propeller
  • embedded sensor
  • damage detection
  • piezoelectric sensor

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