Study on the On-line Detection and Speed Effect of Rail RCFs Using Airflow Thermography

doi:10.3901/JME.2021.18.098

Abstract

Abstract: The existing research show that with the continuous improvement of rail surface defect detection speed in railway industry, the speed effect has become the main factor affecting the evaluation of active imaging detection results. To address the problem, based on the previous research of detecting rail surface defects under static and low speed by using airflow thermography, it is proposed that the speed effect can be eliminated by optimizing the space layout between the airflow excitation source, infrared camera and the specimen, and the parameters of excitation source and the infrared camera. The velocity effect of airflow thermography and eddy current pulse thermography with different sampling frame rate and exposure time under different detection speeds are studied. Experimental results show that the exposure time and sampling frame frequency of the infrared camera are related to the speed. By optimizing the spatial layout of the excitation source, infrared camera and specimen, selecting the appropriate exposure time and sampling frame rate, combined with the thermal image processing algorithm, the effects of speed and surface emissivity of the specimen can be eliminated. At a detection speed of up to 81.6 km/h, the artificial cracks with six inclined angles on the cylindrical surface of the edge of turntable can be accurately detected by airflow thermography. The feasibility of the strategy of swapping space for time has been verified. The air flow thermography has a larger lift off distance. Complementary with eddy current pulse thermography in surface and sub-surface detection, it is has a good application prospect in the field of on-line rapid detection of rail rolling contact fatigue cracks.

Key words: airflow thermography, rolling contact fatigue, speed effect, surface emissivity

CLC Number:

TH878

LU Xiaolong, TIAN Guiyun, XIONG Longhui, GAO Bin, WU Jianbo, MIAO Ling. Study on the On-line Detection and Speed Effect of Rail RCFs Using Airflow Thermography[J]. Journal of Mechanical Engineering, 2021, 57(18): 98-106.

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