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Depth quantification of surface-breaking cracks in ferromagnetic materials using DC-biased magnetization based induction thermography

机译:使用基于直流偏置磁化的感应热成像技术对铁磁材料中表面裂纹的深度进行量化

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摘要

A common challenge in maintenance of critical structures is how to fast localize and quantify geometries of surface-breaking cracks. Induction thermography (IT) is a potential technique to detect this type of defects. However, for testing ferromagnetic structures, if a deep defect exists in the wall structure, only its shallower part within the skin-depth layer affects the early thermal response of IT, whereas its deeper part hardly has any influence on the early response. To extend the detectable depth range of traditional IT for ferromagnetic materials, a DC-biased magnetization based induction thermography (DCMIT) technique is introduced in this paper. Based on the permeability distortion in the skin-depth layer, DCMIT can build a monotonic relation between the thermal feature and the defect depth. Results show that when the coil direction is parallel to the notch's length direction, DCMIT can quantify the notch with a depth up to 6.0 mm whereas traditional IT can hardly achieve this depth detection.
机译:维护关键结构的一个共同挑战是如何快速定位和量化表面裂纹的几何形状。感应热成像(IT)是检测此类缺陷的一种潜在技术。但是,对于铁磁结构的测试,如果壁结构中存在深层缺陷,则仅其在趋肤深度层内的较浅部分会影响IT的早期热响应,而其较深的部分几乎不会对早期响应产生任何影响。为了扩展铁磁性材料的传统IT的可检测深度范围,本文介绍了一种基于DC偏置磁化的感应热成像(DCMIT)技术。根据趋肤深度层中的渗透率变形,DCMIT可以在热特征和缺陷深度之间建立单调关系。结果表明,当线圈方向平行于缺口的长度方向时,DCMIT可以量化深度达6.0 mm的缺口,而传统的IT很难实现这种深度检测。

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