Rail Base Defect Detection via Line Scan Thermography

Guilherme C. Gandia, J. Winn, Connor Seavers, Anish Poudel, James Mathias, T. Chu
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Abstract

High-speed, in-motion detection of defects in active railways has become a primary focus in nondestructive testing (NDT) research and development efforts in the rail industry today. This investigation aims to provide further insight regarding the dynamic application of infrared thermography (IRT), namely line-scanning thermography (LST), for the detection of rail-base defects. A 3D finite element analysis (FEA) model was developed to first determine feasible parameters for the experimental setup, then subsequently employed for comparison with experimental results. To perform the experiments, mild steel samples were heated first by passing beneath an IR line heater (2000 W) then immediately observed with an IR camera to capture the thermal response. Results showed that for a thin steel specimen having stepped thickness (3.175 mm, 6.350 mm), a thermal contrast of 4.1ºC could be detected when inspections were performed at ~48.0 mm/s, revealing an agreement of roughly 95% with experimental results. In the case of thick steel samples containing bottom-drilled holes (BDHs), both experimental and analytical results showed that thermal contrasts of ~1ºC could be detected in regions above BDHs. Finally, performing LST on a rail-base sample containing BDHs yielded a contrast of 4.2ºC when moving at 40 mm/s.
用线扫描热成像技术检测钢轨底座缺陷
现役铁路的高速、动态缺陷检测已成为当今铁路行业无损检测(NDT)研究和开发工作的主要焦点。本研究旨在进一步深入了解红外热成像技术(IRT),即线扫描热成像技术(LST)在轨道基缺陷检测中的动态应用。建立了三维有限元分析(FEA)模型,首先确定了实验设置的可行参数,然后将其与实验结果进行比较。为了进行实验,首先通过红外线加热器(2000 W)加热低碳钢样品,然后立即用红外摄像机观察以捕捉热响应。结果表明,对于阶梯厚度(3.175 mm, 6.350 mm)的薄钢试样,当检测速度为~48.0 mm/s时,可以检测到4.1ºC的热对比,与实验结果的一致性约为95%。对于含有底部钻孔的厚钢样品,实验和分析结果都表明,在底部钻孔以上的区域可以检测到~1ºC的热对比。最后,在含有BDHs的轨道基样品上执行LST,当以40 mm/s的速度移动时,对比度为4.2ºC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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