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首页> 外文期刊>Journal of Nondestructive Evaluation >Mapping of Deformation-Induced Magnetic Fields in Carbon Steels Using a GMR Sensor Based Metal Magnetic Memory Technique
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Mapping of Deformation-Induced Magnetic Fields in Carbon Steels Using a GMR Sensor Based Metal Magnetic Memory Technique

机译：基于GMR传感器基于GMR传感器的金属磁记忆技术的碳钢中变形诱导磁场的映射

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摘要

Giant magneto-resistive (GMR) sensor based metal magnetic memory (MMM) technique is proposed for mapping of deformation-induced self-magnetic leakage fields (SMLFs) in carbon steel. The specimens were subjected to different amounts of tensile deformation and the deformation-induced SMLFs were measured using a GMR sensor after unloading the specimens. 3D-nonlinear finite element modeling was performed to predict stress-strain state in a steel specimen under tensile load. The experimentally obtained SMLF images were correlated with the finite element model predicted stress-strain states. Studies reveal that the MMM technique can detect the plastic deformation with signal-to-noise ratio better than 20 dB. The technique enables the mapping of plastic deformation in carbon steels for the evaluation of the severity of deformation. The study also reveals that deformation-induced SMLF is influenced by the presence of initial surface residual stress, introduced by shot peening. The intensity of SMLF signal is found to increase with increase in tensile load and decrease with shot peening.
机译：基于巨型磁阻（GMR）的金属磁存储器（MMM）技术，用于在碳钢中映射变形诱导的自磁漏电片（SMLF）。经受不同量的拉伸变形，并在卸载样品后使用GMR传感器测量变形诱导的SMLF。进行三维非线性有限元建模，以在拉伸载荷下预测钢样品中的应力 - 应变状态。实验获得的SMLF图像与预测应力 - 应变状态有限元模型相关。研究表明，MMM技术可以以优于20 dB的发射噪声比检测塑性变形。该技术使碳钢中塑性变形的映射用于评估变形的严重程度。该研究还揭示了通过射击喷丸引入的初始表面残余应力的存在影响的变形诱导的SMLF。发现SMLF信号的强度随着拉伸载荷的增加而增加，并随着喷丸射击而减小。

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