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Velocity effect in defect detection for ferrite metals by electromagnetic NDT

机译:电磁无损检测技术在铁素体金属缺陷检测中的速度效应

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Nondestructive Testing (NDT) for moving ferrite metal component is a challenging topic because of the magnetic fields generated by the motion induced eddy current (MIEC) and ferrite magnetization in sample. The magnetic fields distribution inside the moving ferrite metal are more complicated. Therefore, an accurate and efficient NDT technique for monitoring the health condition of metal component with the high-speed is an urgent problem. In order to investigate the influence of velocity effect on defect detection of ferrite metal components, a numerical simulation model of the electromagnetic NDT system by using Finite element method was established, and the relationship between the detection signal and velocity considering the different defect depths and widths are deeply analyzed. The results show that with the increase of the speed, the MIEC is stronger and the dragging effect is more obvious, which are the new phenomenon for the moving sample compared with the static sample. Furthermore, the defect width and depth can be reflected by the magnetic flux density, and the strength of the magnetic flux density increases with the increase of the speed, which is advantageous to the localization and characterization of the defect. The findings in this paper are helpful and beneficial to propose a new NDT method for the defect detection in the moving ferrite metals, such as rail tracks and pipelines.
机译:由于运动感应涡流(MIEC)和样品中铁氧体磁化产生的磁场,用于移动铁氧体金属部件的无损检测(NDT)是一个具有挑战性的话题。运动的铁氧体金属内部的磁场分布更加复杂。因此,一种用于高速监测金属部件健康状况的准确高效的无损检测技术已成为当务之急。为了研究速度效应对铁素体金属零件缺陷检测的影响,建立了基于有限元法的电磁无损检测系统的数值模拟模型,并考虑了缺陷深度和宽度的不同,检测信号与速度之间的关系。进行了深入的分析。结果表明,随着速度的增加,MIEC越强,拖动效果越明显,这是运动样本与静态样本相比的一种新现象。此外,缺陷宽度和深度可以由磁通密度反映,并且磁通密度的强度随着速度的增加而增加,这有利于缺陷的定位和表征。本文的发现对提出一种新的无损检测方法来检测运动的铁氧体金属(如铁轨和管道)中的缺陷是有帮助和有益的。

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