祖瑞丽, 任尚坤, 樊清泉. 基于微磁学的金属磁记忆检测机理分析[J]. 南昌航空大学学报(自然科学版), 2017, 31(3): 34-39. DOI: 10.3969/j.issn.1001-4926.2017.03.006
引用本文: 祖瑞丽, 任尚坤, 樊清泉. 基于微磁学的金属磁记忆检测机理分析[J]. 南昌航空大学学报(自然科学版), 2017, 31(3): 34-39. DOI: 10.3969/j.issn.1001-4926.2017.03.006
ZU Rui-li, REN Shang-kun, FUN Qing-quan. Analysis on Detection Mechanism of Metal Magnetic Memory based on Micro-magnetic[J]. Journal of nanchang hangkong university(Natural science edition), 2017, 31(3): 34-39. DOI: 10.3969/j.issn.1001-4926.2017.03.006
Citation: ZU Rui-li, REN Shang-kun, FUN Qing-quan. Analysis on Detection Mechanism of Metal Magnetic Memory based on Micro-magnetic[J]. Journal of nanchang hangkong university(Natural science edition), 2017, 31(3): 34-39. DOI: 10.3969/j.issn.1001-4926.2017.03.006

基于微磁学的金属磁记忆检测机理分析

Analysis on Detection Mechanism of Metal Magnetic Memory based on Micro-magnetic

  • 摘要: 通过微磁学理论,基于能量最小原理对金属磁记忆的检测机理展开研究。研究表明:构件表面的磁场强度变化可通过内部能量的转变来体现。通过对应力集中区的磁畴固定结点内的磁化强度矢量的分布计算可得,其磁化强度的水平分量具有最大值,垂直分量出现明显非线性变化,即存在"过零点"现象;为进一步对该理论分析进行验证,对平板半圆形缺口试件进行拉伸试验与磁记忆信号测量,试验结果与理论保持一致,即构件应力集中区漏磁场变化特征与构件内部磁化强度矢量的变化特征保持一致性,为金属磁记忆检测技术的机理研究提供一种思路。

     

    Abstract: Based on the theory of micro-magnetism, the detection mechanism of metal magnetic memory based on the principle of minimum energy is studied. The results show that the changes in magnetic field strength of the component surface can be reflected by the change of the internal energy. The horizontal component of the magnetization intensity has the maximum value and the vertical component has obvious nonlinear change, that is, the existence of "zero crossing" phenomenon is obtained by calculating the distribution of the magnetization intensity vector in the magnetic domain fixed node of the stress concentration area. In order to further verify the theoretical analysis, the tensile test and the magnetic memory signal measurement of the flat semi-circular notch specimen were carried out. The experimental results are consistent with the theory, that is, the variation of the leakage magnetic field in the stress concentration area of the component are consistent with the change characteristics of the internal magnetization strength vector of the component, which provides an idea for the mechanism research of the metal magnetic memory detection technology.

     

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