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Calibration-free SH guided wave analysis for screening of wall thickness in steel with varying properties
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Trushkevych, Oksana, Dixon, S., Tabatabaeipour, M., Potter, M. D. G., MacLeod, C., Dobie, G and Edwards, R. S. (Rachel S.) (2023) Calibration-free SH guided wave analysis for screening of wall thickness in steel with varying properties. NDT and E International, 135 . 102789. doi:10.1016/j.ndteint.2023.102789 ISSN 0963-8695.
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Official URL: https://doi.org/10.1016/j.ndteint.2023.102789
Abstract
Guided shear horizontal (SH) ultrasonic wavemodes show promise for fast screening of wall thinning and other defects, with miniaturised electromagnetic acoustic transducers (EMATs) offering the potential for automated robotic inspection. However, the use of guided waves for full defect characterisation is strongly affected by mode conversions, changes in lift-off from the sample, variations in material properties and other effects, and these are not typically considered when reporting laboratory results. We show that these factors can have a significant effect on the data as one moves towards industrial implementation, but that a combination of different analysis methods on the SH0 and SH1 wavemodes can offer a high reliability of detection, and mitigate some of the issues with changes in experimental conditions and mode conversions. For inspection of 10 mm thick steel plates, the proposed processing of the signals is shown to reliably detect 40 mm diameter flat bottomed holes with 5%–50% wall loss. A rough, approximately 20 × 20 mm square defect with up to 20% wall loss is also detected.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||||
Library of Congress Subject Headings (LCSH): | Ultrasonics, Transducers, Nondestructive testing | ||||||||
Journal or Publication Title: | NDT and E International | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 0963-8695 | ||||||||
Official Date: | April 2023 | ||||||||
Dates: |
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Volume: | 135 | ||||||||
Article Number: | 102789 | ||||||||
DOI: | 10.1016/j.ndteint.2023.102789 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 10 January 2023 | ||||||||
Date of first compliant Open Access: | 14 February 2023 | ||||||||
RIOXX Funder/Project Grant: |
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