钢轨裂纹深度对脉冲涡流热成像的影响
Influence of Depth on Eddy Current Pulsed Thermography for Rail Crack Detection
DOI: 10.12677/IaE.2017.54013, PDF,  被引量    科研立项经费支持
作者: 丁松, 施佩珍*, 朱芳君:南京工业大学电气工程与控制科学学院,江苏 南京;王平, 李梦迪:南京航空航天大学自动化学院,江苏 南京;朱丁忆:南京工业大学机械与动力工程学院,江苏 南京
关键词: 脉冲涡流热成像钢轨裂纹温度分布侵彻深度斜裂纹侵入角度Eddy Current Pulsed Thermography Rail Cracks Temperature Distribution Crack Depth Lean Cracks Lean Crack Angle
摘要: 我国高铁的快速发展对钢轨裂纹的巡检提出了越来越高的要求,基于电、磁、热等多物理场耦合的脉冲涡流热成像(ECPT)技术,可实现对钢轨表面裂纹的非接触、快速检测,对保障高铁安全运行意义重大。相对于表面裂纹长度和宽度,裂纹侵彻深度和侵入角度更加隐蔽,也更加难以检出和区分。本文通过电磁感应加热有限元仿真和钢轨表面人工裂纹检测实验,对比研究了垂直裂纹侵彻深度和斜裂纹侵入角度对钢轨表面热分布的影响,及其红外成像的区别。研究表明垂直裂纹侵彻深度超过1 mm时,高温区由励磁线圈附近趋向于裂纹两个顶端;斜裂纹则当侵彻深度超过2 mm时高温区发生迁移,且高温区沿裂纹非对称分布。因此,根据高温区分布位置及形状可实现多种类型钢轨表面裂纹的检测与识别。
Abstract: The demand of rail track inspection is increasing with the development of high speed railway in China. The surface cracks of track can be detected non-destructively and fleetly by eddy current pulsed thermography (ECPT) technology, based on multi-physics such as electricity, magnetism and thermography. This technology is important to high speed railway security. Comparing with the length and width of surface crack, depth of vertical crack and angle of lean crack are hard to be detected and classified. By finite element simulation and artificial track crack inspection, this paper proposes the difference of IR images and the influence of vertical crack depth and lean crack angle on heat distribution. The results indicate that high temperature regions move to the ends of crack when the crack depth exceeds 1 mm. For lean cracks, high temperature regions distribute asym-metrically along cracks and move when the depth increases more than 2 mm. Therefore, different surface track cracks can be detected and classified by the shape and distribution of high tempera-ture regions.
文章引用:丁松, 施佩珍, 王平, 李梦迪, 朱芳君, 朱丁忆. 钢轨裂纹深度对脉冲涡流热成像的影响[J]. 仪器与设备, 2017, 5(4): 87-94. https://doi.org/10.12677/IaE.2017.54013

参考文献

[1] 白利兵. 电涡流脉冲热成像无损检测技术研究[D]: [博士学位论文]. 成都: 电子科技大学, 2013.
[2] Tian, G.Y., Gao, Y.L., Li, K.J., Wang, Y.Z., Gao, B. and He, Y.Z. (2016) Eddy Current Pulsed Thermography with Different Excitation Configurations for Metallic Material and Defect Characterization. Sensors, 16, 843. [Google Scholar] [CrossRef] [PubMed]
[3] Yin, A.J., Gao, B., Tian, G.Y., Woo, W.L. and Li, K.J. (2013) Physical Interpretation and Separation of Eddy Current Pulsed Thermography. Journal of Applied Physics, 113, Article ID: 064101. [Google Scholar] [CrossRef
[4] He, Y.Z., Tian, G.Y., Pan, M.C., Chen, D.X. and Zhang, H. (2014) An Investigation into Eddy Current Pulsed Thermography for Detection of Corrosion Blister. Corrosion Science, 78, 1-6. [Google Scholar] [CrossRef
[5] He, Y., Pan, M. and Luo, F. (2012) Defect Characterisation Based on Heat Diffusion Using Induction Thermography Testing. Review of Scientific Instruments, 83, Article ID: 104701. [Google Scholar] [CrossRef] [PubMed]
[6] Wilson, J., Tian, G.Y., Abidin, I.Z., et al. (2010) Pulsed Eddy Current Thermography: System Development and Evaluation. Insight: Non-Destructive Testing and Condition Monitoring, 52, 87-90. [Google Scholar] [CrossRef
[7] 梅林, 陈自强, 王裕文, 等. 脉冲加热红外热成像无损检测的有限元模拟及分析[J]. 西南交通大学学报, 2000, 34(1): 66-69.
[8] Wilson, J., Tian, G., Mukriz, I., et al. (2011) PEC Thermography for Imaging Multiple Cracks from Rolling Contact Fatigue. NDT&E International, 44, 505-512. [Google Scholar] [CrossRef