Extraction of texture in metal sheet using non-contact electromagnetic accoustic transducers (EMATS) and wavelet processing

Ho, Kwok Shun and Hutchins, D.A. and Billson, DR and Li, Minghui and Gachagan, Anthony (2011) Extraction of texture in metal sheet using non-contact electromagnetic accoustic transducers (EMATS) and wavelet processing. In: Review of Progress in Quantitative Nondestructive Evaluation. AIP Conference Proceedings, Melville, pp. 1373-1380. ISBN 9780735410138

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Abstract

EMATs have been used to generate ultrasonic Lamb wave for the characterization of texture in metal sheets. Ultrasonic techniques have received considerable attention as an alternative technology for monitoring the texture of metal sheet, and many of these studies used EMATs for ultrasonic generation and detection. In this study, a different approach to the analysis has been used. In the previous work, only three constants define the elastic anisotropy in the most commonly used approximation. These were measured typically at 0°, 45°, and 90° with respect to the metal sheet. However, greater accuracy in calculating these Orientation Distribution Coefficients (ODCs) values can potentially be obtained by fitting the theoretical angular dependent velocity to the experimental data. It is then possible to extract the ODCs and obtain some degree of confidence in the values from the correlation of the fit. In this study, this approach has been implemented in the presence of multiple Lamb modes generated and detected by the magnetostrictive type EMATs using the Stationary wavelet transform (SWT) to extract the required data from selected Lamb wave modes

Author(s):Ho, Kwok Shun, Hutchins, D.A., Billson, DR, Li, Minghui and Gachagan, Anthony
Item type:Book Section
ID code:47537
Keywords:extraction, texture, metal sheet, non-contact electromagnetic ccoustic transducers , wavelet processing, EMATS, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Depositing user: Pure Administrator
Date deposited:16 Apr 2014 11:30
Last modified:03 Jan 2019 13:34
URI:https://strathprints.strath.ac.uk/id/eprint/47537
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