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Energy based stochastic model for temperature dependent behavior of ferromagnetic materials

机译:基于能量的温度依赖行为随机模型   铁磁材料

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摘要

An energy based stochastic model for temperature dependent anhystereticmagnetization curves of ferromagnetic materials is proposed and bench markedagainst experimental data. This is based on the calculation of macroscopicmagnetic properties by performing an energy weighted average over all possibleorientations of the magnetization vector. Most prior approaches that employthis method are unable to independently account for the effect of bothinhomogeneity and temperature in performing the averaging necessary to modelexperimental data. Here we propose a way to account for both effectssimultaneously and benchmark the model against experimental data from ~5K to~300K for two different materials in both annealed (fewer inhomogeneities) anddeformed (more inhomogeneities) samples. This demonstrates that the independentaccounting for the effect of both inhomogeneity and temperature is necessary tocorrectly model temperature dependent magnetization behavior.
机译:提出了基于温度的铁磁材料磁滞回磁曲线的基于能量的随机模型,并标出了实验数据。这基于通过在磁化矢量的所有可能方向上执行能量加权平均来计算宏观磁特性。采用该方法的大多数现有方法在执行对实验数据进行建模所需的平均时,无法独立考虑不均匀性和温度的影响。在这里,我们提出了一种同时解决这两种影响的方法,并针对两种不同材料在退火(较少不均匀性)和变形(更多不均匀性)样品中从〜5K到〜300K的实验数据对模型进行了基准测试。这表明,不正确地考虑不均匀性和温度的影响对于正确地模拟与温度相关的磁化行为是必要的。

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