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首页> 外文期刊>International journal of applied electromagnetics and mechanics >Modeling of magnetic Barkhausen noise for layered ferromagnetic materials based on extended Ising model with double Boltzmann function
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Modeling of magnetic Barkhausen noise for layered ferromagnetic materials based on extended Ising model with double Boltzmann function

机译:基于延伸读数模型的磁性巴格森噪声模拟磁性巴普森噪声与双螺栓扬声器功能

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摘要

Ising model is a promising tool for predicting magnetic Barkhausen noise (MBN) signal on electromagnetic nondestructive evaluation (ENDE). However, theoretical prediction of MBN of composite ferromagnetic materials using Ising model is seldom reported. In this study, we incorporate double Boltzmann transition function with the exchange coupling efficiency (J) of Ising model to achieve simulation of MBN in layered materials. The transition behavior of J was assumed to represent the changes in magnetic properties from hard layer to soft layer. Monte Carlo algorithm is used to solve the Ising model to obtain the MBN of layered material. The influence of the volume fraction (p) of hard layer in the double Boltzmann transition function on the shape of MBN profiles was investigated through both simulation and experiments. In the experiments, two-layer ferromagnetic materials was laminated using SAE 1065 carbon steel films of different thickness and a base strip of SAE 1045 carbon steel with a thickness of 20 mm. Both simulation and experimental results show that the MBN peak of soft layer gradually descends with the increase in thickness of SAE 1065 (or the volume fraction of hard layer). The second-order Gaussian function was used to fit the MBN envelop for extract the peaks of hard and soft layers from both experimental and simulation results. The ratio of the MBN peak of hard layer to soft layer demonstrates monotonously increasing trend as the value of p increases. Therefore, ratio of the MBN peak can act as good indicator for qualitative characterization of the changes of thickness or volume fraction of hard layer in two-layer ferromagnetic materials.
机译:Ising Model是一种有助于预测电磁非破坏性评估(ENDE)上的磁性Barkhausen噪声(MBN)信号的工具。然而,利用ising模型的复合铁磁材料MBN的理论预测很少报告。在本研究中,我们将双螺栓直流转换功能与Excient模型的交换耦合效率(J)纳入,以实现层状材料中MBN的模拟。假设J的过渡行为表示从硬层到软层的磁性变化。 Monte Carlo算法用于解决ising模型以获得层状材料的MBN。通过模拟和实验研究了在MBN型材形状的双螺栓锤转换功能中的硬层体积分数(P)的影响。在实验中,使用不同厚度的SAE 1065碳钢薄膜层叠双层铁磁性材料,以及厚度为20mm的SAE 1045碳钢。仿真和实验结果均表明,软层的MBN峰逐渐下降,随着SAE 1065的厚度(或硬层的体积分数)的增加而下降。二阶高斯函数用于拟合MBN信封,用于从实验和仿真结果中提取硬质和软层的峰。随着P增加的增加,硬层与软层的MBN峰与软层的比例表明了单调的趋势。因此,MBN峰的比例可以充当良好指标,用于定性表征两层铁磁材料中硬层的厚度或体积分数变化的定性表征。

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