The Early Stage Wheel Fatigue Crack Detection Using Eddy Current Pulsed Thermography Peng, Jianping Zhang, Kang Yang, Kai He, Zhu Zhang, Yu Peng, Chaoyong Gao, Xiaorong 2018-02-17T22:35:45.000 2020-06-30T06:53:42Z 2020-06-30T06:53:42Z 2016-01-01
dc.description.abstract <p>The in-service wheel-set quality is one of critical challenges for railway safety, especially for the high-speed train. The defect in wheel tread, initiated by rolling contact fatigue (RCF) damage, is one of the most significant phenomena and has serious influence on rail industry. Eddy current pulsed thermography (ECPT) is studied to compensate the Ultrasonic Testing (UT) method for detection these early stage of fatigue cracks in wheel tread. This paper proposes several induction coils, such as linear coil, Yoke coil and Helmholtz coils, based ECPT method to meet the imaging of multiple cracks and irregular surface in wheel tread through numerical simulation and experimental results. Some features are extracted and studied also to quantify the fatigue crack in term of UT and ECPT. The proposed method greatly enhances the capability for cracks detection and quantitative evaluation compared with previous Non-Destructive Testing (NDT) method in railway.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 4901
dc.identifier.contextkey 9228939
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/2016/abstracts/252
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/|||Fri Jan 14 22:57:43 UTC 2022
dc.subject.disciplines Applied Mechanics
dc.subject.disciplines Civil and Environmental Engineering
dc.subject.disciplines Engineering Mechanics
dc.subject.disciplines Engineering Science and Materials
dc.title The Early Stage Wheel Fatigue Crack Detection Using Eddy Current Pulsed Thermography
dc.type event
dc.type.genre event
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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