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基于磁声耦合的轨道检测正问题研究。

Research on Forward Problem of Rail Detection Based on Magnetoacoustic Coupling.

机构信息

School of Electrical Engineering, Shan Dong Jiaotong University, Jinan 250357, China.

School of Automotive Engineering, Shan Dong Jiaotong University, Jinan 250357, China.

出版信息

Sensors (Basel). 2022 Jul 25;22(15):5539. doi: 10.3390/s22155539.

Abstract

According to the characteristics of rail defects, a rail microcrack detection method based on magnetoacoustic coupling effect is proposed in this paper. Firstly, the basic principle of a rail microcrack detection method based on magnetoacoustic coupling effect is described, and then the model is analyzed theoretically. Through simulation calculation, the current density distribution and Lorentz force distribution generated by electromagnetic excitation, the motion characteristics of particles under Lorentz force and the sound field distribution characteristics of magnetoacoustic signals generated by Lorentz force are obtained. Finally, an experimental platform was set up and the steel ring model was preliminarily tested. The magnetic and acoustic signals of the two steel ring boundaries excited by an electromagnetic field were collected. These signals correspond to the position distribution of the steel ring. The state change of rail microstructure will cause a change in the conductivity characteristics of rail materials, and will affect the characteristics and distribution of sound pressure in the detection. Therefore, the detection method based on the magnetoacoustic coupling effect can detect the surface microcracks of high-speed rail. This method has great feasibility and development potential in the field of rail flaw detection.

摘要

根据钢轨缺陷的特点,提出了一种基于磁声耦合效应的钢轨微裂纹检测方法。首先,描述了基于磁声耦合效应的钢轨微裂纹检测方法的基本原理,然后对模型进行了理论分析。通过仿真计算,得到了电磁激励产生的电流密度分布和洛伦兹力分布、洛伦兹力作用下粒子的运动特性以及洛伦兹力产生的磁声信号声场分布特性。最后,搭建了实验平台,对钢环模型进行了初步测试。采集了电磁场激励下两个钢环边界的磁声信号,这些信号对应钢环的位置分布。轨道微观结构的状态变化会引起轨道材料电导率特性的变化,并会影响检测中的声压特性和分布。因此,基于磁声耦合效应的检测方法可以检测高速铁路的表面微裂纹。该方法在钢轨缺陷检测领域具有很大的可行性和发展潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46d2/9330390/cb01f2595090/sensors-22-05539-g001.jpg

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