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Quantification of Rolling Contact Fatigue Cracks in Rails Based on Eddy Current Pulsed Thermography with Skewness Feature基于电涡流脉冲热成像偏度特征的钢轨自然裂纹量化评估

Lookup NU author(s): Xiaotian Chen, Professor Gui Yun TianORCiD


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© 2021 Journal of Mechanical Engineering.The long-term pressure and impact load brought by the interaction between wheels and tracks would cause Rolling Contact Fatigue (RCF) cracks on the rail surface and sub-surface. RCF cracks usually propagate along the surface of the rail and the direction perpendicular to the rolling surface of the rail. Conventional Non-destructive Testing (NDT) methods are difficult to quantify the three-dimensional shape and size of cracks. To overcome this challenge, a novel RCF crack quantification method is proposed, which utilizes skewness feature extracted from the RCF crack area's thermal videos. To validate the proposed method, multiple specimens with real RCF cracks have been prepared, and the location, direction, and depth of individual RCF cracks have been obtained through industrial Computer Tomography (CT) scanning for comparison. According to experimental results, the crack angle on the rail surface represented by the skewness is linearly related to the results obtained by CT, and the correlation coefficient is about 0.97. The correlation coefficient between the spatial propagation angle of cracks inside the rail calculated by the skewness and that in the CT is approximately 0.85. The correlation coefficient between the closed crack length value of the rail represented by the skewness and the results of CT is about 0.94. The skewness value has an approximately linear relationship with the corresponding crack depth, and the correlation coefficient reaches 0.98. The above results show that the proposed method can effectively realize the quantitative evaluation of RCF cracks. It also indicates that ECPT has broad application prospects in early diagnosis, quantitative evaluation, visualization, and in-situ inspection of RCF cracks.

Publication metadata

Author(s): Yan Y, Liu Y, Zhu J, Miao L, Chen X, Zhou Y, Lu Y, Gao B, Tian G

Publication type: Article

Publication status: Published

Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Year: 2021

Volume: 57

Issue: 18

Pages: 75-85

Print publication date: 29/11/2021

Acceptance date: 02/04/2020

ISSN (print): 0577-6686

Publisher: Chinese Mechanical Engineering Society


DOI: 10.3901/JME.2021.18.075


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