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Evaluation techniques of aging damages by magnetic methods

机译:磁性方法老化损伤的评价技术

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In the first part of this paper, some studies about the relationship between degradation and magnetic quantities of ferromagnetic materials are reviewed. These studies show some magnetization could be parameters to evaluate degradation effectively. Plastic deformation regions can be detected by a SQUID or a Hall sensor. Then, studies about non-ferromagnetic materials are also reviewed. The first one is the study about the change of the magnetic flux leakage due to mechanical loading. This shows the relationship between plasitc deformation and change of magnetic flux leakage. The second one is observation results by magnetic colloid and Magnetic Force Microscope (MFM). Magnetic flux density of the sample was changed depending on load. It is realized that periphery of a crack introduced by a cyclic loading was magnetized and magnetization is caused by martensitic transformation. The last one is the inverse analysis method using Neural Networks to predict distribution of magnetization in a sample from magnetic flux density. he validity of this method is confirmed because the magnetic flux density calculated using the magnetization analyzed inversely coincides to the observation results. The possibility that magnetic physical quantities can be parameters of degradation levels is shown by these studies.
机译:在本文的第一部分中,综述了一些关于劣化和磁性量之间关系的研究。这些研究表明一些磁化可以有效地评估劣化的参数。塑料变形区域可以通过鱿鱼或霍尔传感器检测。然后,还审查了关于非铁磁材料的研究。第一个是关于机械负载引起的磁通泄漏变化的研究。这表明了Plasitc变形与磁通量泄漏变形之间的关系。第二个是通过磁性胶体和磁力显微镜(MFM)观察结果。根据载荷改变样品的磁通密度。通过循环负载引入的裂缝的周边被磁化和磁化是由马氏体转换引起的。最后一个是使用神经网络以预测磁通密度的样品中磁化分布的逆分析方法。确认了这种方法的有效性,因为使用磁化计算的磁通密度分析成反比地吻合观察结果。这些研究显示了磁性量可以是降解水平参数的可能性。

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