Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

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

Full text not available in this repository. Request a copy from the Strathclyde author


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