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Proceedings Paper

Interlaced scanning by laser ultrasonic for defects imaging of train rail surface
Author(s): Yuehong Zhang; Lin Luo; Yu Zhang; Xiaorong Gao; Jiang Long
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Paper Abstract

In this paper, the technique of laser ultrasonic rapid detection of rail surface defects is studied, the interlaced laser ultrasonic defect detection imaging scheme is designed: the laser ultrasonic signal is excited and detected on both sides of the rail, the image is fusion-registered by algorithms such as filtering and image registration to obtain a complete rail surface inspection image to display defect characteristics, which solves the problem that laser ultrasonic is not sensitive to defects. According to the theory of thermal bomb and the proposed detection scheme, a finite element model is established to simulate the propagation process of laser ultrasonic signals in the rail, and the detection signal with surface defects information is obtained. In order to verify the effectiveness of the proposed method, a series of experiments were carried out to obtain the rail detection image with surface defects, and the influence of the laser spot size on the detection image results was analyzed. The experimental results show that the proposed laser ultrasonic imaging detection method can quickly obtain the detected image and effectively display the defect characteristics. The laser spot size has a significant influence on the detection result. When the laser spot is small, the effect of the detection image can be improved. The proposed method provides a reference for further establishing the actual rail inspection system.

Paper Details

Date Published: 20 December 2019
PDF: 9 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112091L (20 December 2019); doi: 10.1117/12.2547455
Show Author Affiliations
Yuehong Zhang, Southwest Jiaotong Univ. (China)
Lin Luo, Southwest Jiaotong Univ. (China)
Yu Zhang, Southwest Jiaotong Univ. (China)
Xiaorong Gao, Southwest Jiaotong Univ. (China)
Jiang Long, Southwest Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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