Full-Waveform Inversion Imaging of Defects Using Guided Waves from a Magnetostrictive Patch Transducer with a Perpendicular Static Magnetic Field
HTML
PDF

Keywords

magnetostrictive patch transducer
perpendicular static magnetic field
ultrasonic guided waves
full-waveform inversion
defect imaging

How to Cite

Wang, J., Wang, S., & Li, Z. (2026). Full-Waveform Inversion Imaging of Defects Using Guided Waves from a Magnetostrictive Patch Transducer with a Perpendicular Static Magnetic Field. Instrumentation, 13(3). https://doi.org/10.15878/j.instr.202600400

Abstract

Conventional magnetostrictive patch transducers can suffer from a non-uniform static magnetic field and limited transduction efficiency in ultrasonic guided-wave testing. This study presents a transducer with a perpendicular static magnetic field and combines it with full-waveform inversion for guided-wave imaging of defects in plates and pipes. An equivalent surface-stress model was established for the proposed structure and validated by finite-element simulation. Guided-wave experiments were then used to determine how the static magnetic field affected signal amplitude and to compare the proposed design with other magnetostrictive patch transducers. Finally, transducer arrays acquired defect signals for full-waveform inversion imaging. The transducer effectively generated shear-horizontal guided waves. Signal amplitude reached its maximum at a surface magnetic flux density of approximately 70 mT and was about twice that obtained with a horizontal-field transducer based on the inverse Wiedemann effect. The plate-defect contours were clearly reconstructed, with maximum depth errors below 5.0%. Pipe imaging recovered the principal defect locations and contours. The proposed transducer therefore provides signals suitable for guided-wave full-waveform inversion imaging.

https://doi.org/10.15878/j.instr.202600400
HTML
PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Jing Wang, Shujuan Wang, Zhichao Li

Downloads

Download data is not yet available.

Publication Facts

Metric
This article
Other articles
Peer reviewers 
2
2.4

Reviewer profiles  N/A

Author statements

Author statements
This article
Other articles
Data availability 
N/A
16%
External funding 
No
32%
Competing interests 
N/A
11%
Metric
This journal
Other journals
Articles accepted 
84%
33%
Days to publication 
138
145

Indexed in

Editor & editorial board
profiles