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Identifying Surface Angled Cracks on Aluminium Bar using EMATs and Automated Computer System

Rosli, M.H., Edwards, Rachel S., Dutton, Ben, Johnson, Colin G., Cattani, Phil T. (2010) Identifying Surface Angled Cracks on Aluminium Bar using EMATs and Automated Computer System. AIP Conference Proceedings, 1211 . pp. 1593-1600. ISSN 0094-243X. E-ISSN 1551-7616. (doi:10.1063/1.3362258) (KAR id:71021)

Abstract

Electromagnetic acoustic transducers (EMATs) have been used in pitch-catch manner to identify surface cracking in aluminium bars and rails. The differences between signal enhancement due to interference produced by normal (900) and angled cracks in B-scans were utilised to classify them in order to decide appropriate depth calibration curve for depth estimation. In addition, the B- scans were also used to determine the presence of any surface defects. The B-scans were input into image processing algorithm that select the best features and use it for training and recognising similar pattern in other B-scans.

Item Type: Article
DOI/Identification number: 10.1063/1.3362258
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Q Science > QC Physics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculties > Sciences > School of Computing
Depositing User: Colin Johnson
Date Deposited: 14 Dec 2018 10:41 UTC
Last Modified: 11 Jul 2019 09:27 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/71021 (The current URI for this page, for reference purposes)
Johnson, Colin G.: https://orcid.org/0000-0002-9236-6581
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