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...

Inspection of complex components using 2D arrays and TFM

McGilp, Ailidh and Dziewierz, Jerzy and Lardner, Timothy and Gachagan, Anthony and MacKersie, John and Bird, Colin (2015) Inspection of complex components using 2D arrays and TFM. In: 53rd Annual Conference of the British Institute of Non-Destructive Testing (NDT 2014). British Institute of Non-Destructive Testing. ISBN 9781634395038

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

Abstract

Inspection of welded components typical of the primary circuit pipework in nuclear power plants is essential to evaluate their integrity. The inspection surface of such components is often complex and non-planar, resulting in coupling issues for a conventional probe, with a fixed footprint. In general this instigates complex and lengthy data analysis to retrieve meaningful results. An efficient solution for inspecting such components is sought by using 2D arrays, collecting FMC and using TFM to construct the surface profile, which is then extracted and subsequently used to compose a TFM image of the component. The solution has been developed within the software platform cueART, designed to operate on GP-GPU processors, in a move towards real time imaging. The method has been used to inspect a 304n section of stainless steel with a surface representing the worst acceptable error of form expected in a practical inspection scenario. The results show the full surface of the test block can be reconstructed, as well as a range of artificial defects being accurately identified.