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)
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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 |
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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.: | ![]() |
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