Tomographic Reconstruction of Rolling Contact Fatigues in Rails using 3D Eddy Current Pulsed Thermography

Chen, Xiaotian, Tian, Gui Yun, Ding, Song, Ahmed, Junaid and Woo, Wai Lok (2021) Tomographic Reconstruction of Rolling Contact Fatigues in Rails using 3D Eddy Current Pulsed Thermography. IEEE Sensors Journal. pp. 1-9. ISSN 1530-437X (In Press)

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Official URL: https://doi.org/10.1109/jsen.2021.3086307

Abstract

The detection and quantification of the rolling contact fatigue (RCF) in rail tracks are essential for rail safety and condition-based maintenance. The tomographic reconstruction of the rolling contact fatigue is challenging work. The x-ray is unable to do in-situ inspection effectively. This paper proposes a new approach for RCF construction using 3D eddy current pulsed thermography. A differential time-square-root (sqrt) of temperature drop (DTSTD) is proposed as a mean to construct the sectional images and to reconstruct the thermal tomography image. The proposed method is validated through artificial angular crack slots as well as natural RCF crack. The thermal tomographic reconstruction is compared with the x-ray computed tomography on a rail track head cut-off with RCF cracks.

Item Type: Article
Additional Information: Funding information: This work is partially supported by National Natural Science Foundation of China (Grant No.61527803, and Grant No.51505308) and International Science and Technology Innovation Cooperation Project of Sichuan Province, China (Grant No. 2021YFH0036).
Uncontrolled Keywords: 3D ECPT, DTSTD, Eddy currents, Heating systems, Image reconstruction, QNDE, Rails, thermal tomography, Three-dimensional displays, Tomography, X-ray imaging
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 17 Jun 2021 14:07
Last Modified: 31 Jul 2021 10:50
URI: http://nrl.northumbria.ac.uk/id/eprint/46478

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