Dynamic magnetization models for soft ferromagnetic materials with coarse and fine domain structures
Dynamic magnetization models for soft ferromagnetic materials with coarse and fine domain structures
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DOI：
10.1016/j.jmmm.2015.06.082
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发表时间：
2015-11
影响因子：
2.7
通讯作者：
S. Zirka;Y. Moroz;S. Steentjes;K. Hameyer;K. Chwastek;S. Zurek;R. Harrison
中科院分区：
文献类型：
--
作者：
S. Zirka;Y. Moroz;S. Steentjes;K. Hameyer;K. Chwastek;S. Zurek;R. Harrison
本文采用数值和解析两种动态模型，再现了具有不同畴结构的铁磁片材料的磁化场dh (B)和能量损失。选择传统的无取向（NO）和晶粒取向（GO）电工钢作为细畴和粗畴材料的典型代表。普遍接受的损失分离程序，在这些材料进行了严格的分析。使用众所周知的简化（“经典”）涡流损耗表达式被认为是错误评估NO钢过量损耗的主要来源，其中损耗分量只能使用麦克斯韦（穿透）方程进行评估。GO钢的情况则大不相同，其损失分离是不确定的，但总动态损失比经典方法的任何版本（数值或解析）都要高几倍。为了说明氧化石墨烯钢中损耗分离的不确定性，我们表明，使用现有的三分量方法或我们提出的双分量技术，可以以相同的精度表示该材料中的磁化场，从而表示总损耗，该方法不区分经典的涡流和多余的场和损耗。
We consider dynamic models, both numerical and analytical, that reproduce the magnetization fieldH(B) and the energy loss in ferromagnetic sheet materials with different domain structures. Conventional non-oriented (NO) and grain-oriented (GO) electrical steels are chosen as typical representatives of fine-domain and coarse-domain materials. The commonly-accepted loss separation procedures in these materials are critically analyzed. The use of a well-known simplified (“classical”) expression for the eddy-current loss is identified as the primary source of mistaken evaluations of excess loss in NO steel, in which the loss components can only be evaluated using the Maxwell (penetration) equation. The situation is quite different in GO steel, in which the loss separation is uncertain, but the total dynamic loss is several times higher than that explained by any version (numerical or analytical) of the classical approach. To illustrate the uncertainty of the loss separation in GO steel, we show that the magnetization field, and thus the total loss, in this material can be represented with equal accuracy using either the existing three-component approach or our proposed two-component technique, which makes no distinction between classical eddy-current and excess fields and losses.