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The research on defect recognition method for rail magnetic flux leakage detecting

机译:铁路漏磁检测的缺陷识别方法研究

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In this paper, the ANSYS finite element software was used to establish a two-dimensional mathematical model of defect leakage field for the simulation of the cracks, cone-shaped, pits and other regular defects of rail with the FEM simulation method, through which axial and radial magnetic flux density distribution curves and other data of defect leakage field was acquired. By comparison of the simulation data and peak, peak-valley, peak-valley spacing and other characteristic values of the leakage magnetic flux density curves, the characteristics of different defect types and identical defect types of magnetic leakage signal was acquired to identify the defect information such as defect types, internal or external distribution, shapes and dimensions and other information.
机译:本文利用有限元软件ANSYS,建立了缺陷渗漏场的二维数学模型,利用有限元仿真方法对钢轨的裂纹,圆锥形,凹坑等规则缺陷进行了数值模拟。获得了径向磁通密度分布曲线和缺陷漏磁场的其他数据。通过比较仿真数据与漏磁通密度曲线的峰谷,峰谷间距,峰谷间距等特征值,获得不同缺陷类型和相同缺陷类型的漏磁信号特征,以识别缺陷信息。例如缺陷类型,内部或外部分布,形状和尺寸以及其他信息。

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