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Identifying surface angled cracks on aluminium bar using EMATS and automated computer system

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Rosli, M. H., Edwards, R. S. (Rachel S.), Dutton, B. (Ben), Johnson, C. G. (Colin G.) and Cattani, P. (2010) Identifying surface angled cracks on aluminium bar using EMATS and automated computer system. In: 36th Annual Review of Progress in Quantitative Nondestructive Evaluation, University of Rhode Island, Kingston, RI, Jul 26-31, 2009. Published in: AIP Conference Proceedings, Vol.1211 (No.1). pp. 1593-1600.

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Official URL: http://dx.doi.org/10.1063/1.3362258

Abstract

Electromagnetic acoustic transducers (EMATs) have been used to generate and detect Rayleigh waves in order to identify surface cracking in aluminium bars and rails. B-scans produced during scans of samples were used to determine the presence of surface defects. Additionally, the differences between signal enhancements due to wave interference at the crack produced by normal (900) and angled cracks in the B-scans were used to classify samples in order to decide an appropriate depth calibration curve for depth estimation. Classification was done using an image processing algorithm that selected the best features for classification, and used these to identify similar patterns in unclassified B-scans.

Item Type: Conference Item (Paper)
Subjects: Q Science > QC Physics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science > Physics
Library of Congress Subject Headings (LCSH): Rayleigh waves, Ultrasonic testing, Nondestructive testing, Electroacoustic transducers, Surfaces (Technology) -- Defects
Journal or Publication Title: AIP Conference Proceedings
Publisher: American Institute of Physics
ISBN: 9780735407480
ISSN: 0094-243X
Editor: Thompson, DO and Chimenti, DE
Date: 22 February 2010
Volume: Vol.1211
Number: No.1
Number of Pages: 8
Page Range: pp. 1593-1600
Identification Number: 10.1063/1.3362258
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 36th Annual Review of Progress in Quantitative Nondestructive Evaluation
Type of Event: Conference
Location of Event: University of Rhode Island, Kingston, RI
Date(s) of Event: Jul 26-31, 2009
References: 1. D. F. Cannon, K.-O. Edel , S. L. Grassie, K. Sawley, Fatigue Fract Engng Mater Struct 26, 865-887 (2003). 2. R. A. Cottis, Stress Corrosion Cracking,Corrosion and Protection Centre, UMIST, Manchester, 2000. 3. G. Alers, “A History of EMATs”, Review of Quantitative Nondestructive Evaluation, D. O. Thompson and D. E. Chimenti,AIP Conference Proceedings vol. 27, American Insitute of Physics, 2008, 801-808. 4. W.M. Irving, Continuous Casting of Steel, The Institute of Materials, London, 1993, 95-96 5. S. B. Palmer, S. Dixon, Insight 45, 211-217 (2003). 6. M. Hirao, Hirotsugu Ogi, EMATs for science and industry. Non-contact ultrasonic measurements, Kluwer Academic Publisher, Boston/Dordrecht/London, 2003 7. R. S. Edwards, S.Dixon, X. Jian, NDT&E International 3, 468-475 (2006). 8. T. Mitchell, Machine Learning, McGraw-Hill, 1997 9. K. Krawiec, “Visual Learning by Evolutionary Feature Synthesis”, Proceedings of the Twentieth International Conference on Machine Learning, Tom Fawcett and Nina Mishra, AAAI Press, 2003, 376-383 10 S. Shirakawa, S. Nakayama, T. Nagao, “Genetic Image Network for Image Classification”, Application of Evolutionary Computing: EvoWorkshops 2009, M. Giacobini, A. Brabazon, S. Cagnoni, et al., Springer Berlin/ Heidelberg 5484, 2009, 395-404 11. C. G. Johnson, P. Cattani, “Typed Cartesian Genetic Programming for Image Classification”, Proceeding of the 2009 UK Workshop on Computational Intelligence, 2009 12. G. W. C. Kaye, T. H. Laby, Tables of physical and chemical contstans 16th Ed, Longman, (1995) 13. R.S. Edwards, X. Jian, Y. Fan, S. Dixon, Applied Physics Letters 87, 194104 (2005). 14. X. Jian, S. Dixon, N. Guo, R. S. Edwards, M. Potter, Ultrasonics 44, e1131-e1134 (2006) 15. R.S. Edwards, X. Jian, S. Dixon, J. Phys. D: Appl. Phys. 37, 2291-2297 (2004). 16. I. H. Witten, E. Frank, Data Mining, Morgan Kaufmann, 2nd Edition, 2005
URI: http://wrap.warwick.ac.uk/id/eprint/5148

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