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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| Official URL: http://dx.doi.org/10.1063/1.3362258 |
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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 |
|---|---|
| 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) |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Colin Johnson |
| Date Deposited: | 14 Dec 2018 10:41 UTC |
| Last Modified: | 20 May 2025 10:23 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/71021 (The current URI for this page, for reference purposes) |
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