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Abstract：
Both microstructure and stress affect the structure and kinematic properties of magnetic domains. In fact, microstructural and stress variations often coexist. However, the coupling of microstructure and stress on magnetic domains is seldom considered in the evaluation of microstructural characteristics. In this investigation, Magnetic incremental permeability (MIP) and magnetic Barkhausen noise (MBN) techniques are used to study the coupling effect of characteristic microstructure and stress on the reversible and irreversible motions of magnetic domains, and the quantitative relationship between microstructure and magnetic domain characteristics is established. Considering the coupling effect of microstructure and stress on magnetic domains, a patterned characterization method of microstructure and stress is innovatively proposed. Pattern recognition based on the Multi-layer Perceptron (MLP) model is realized for microstructure and stress with an accuracy rate higher than 97%. The results show that the pattern recognition accuracy of magnetic domain features and micro-magnetic features simultaneously as input parameters is higher than that of micro-magnetic features alone as input parameters.
摘要：
微观结构和应力都会影响磁畴的结构和运动学性能。事实上,微观结构和应力变化经常共存。然而,在微观结构特征的评估中，很少考虑微观结构和磁畴应力的耦合。在这次调查中,磁增量磁导率(MIP)和磁Barkhausen噪声(MBN)技术用于研究特征微观结构和应力对磁畴可逆和不可逆运动的耦合效应,建立了微观结构与磁畴特性之间的定量关系。考虑到微观结构和应力对磁畴的耦合作用,创新性地提出了一种微结构和应力的模式化表征方法。基于多层感知器（MLP）模型，实现了微结构和应力的模式识别，准确率高于97％。结果表明，同时作为输入参数的磁畴特征和微磁特征的模式识别精度高于单独作为输入参数的微磁特征。
