Simple algorithm to estimate mean-field effects from minor differential permeability curves based on the Preisach model
Simple algorithm to estimate mean-field effects from minor differential permeability curves based on the Preisach model
复制标题
基于 Preisach 模型的微分渗透率曲线估计平均场效应的简单算法
DOI：
10.1088/0022-3727/36/7/303
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
O. Perevertov
中科院分区：
文献类型：
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作者：
O. Perevertov
经典的Preisach磁滞模型（PM）要求任何微小的微分磁导率曲线都位于具有较大磁场幅度的微小曲线之下。对铁磁材料的测量表明，这往往不是真的。通过将经典PM形式主义应用于测量的次要曲线，可以发现它导致Preisach平面的每一半上的椭圆形区域，其中计算在Preisach函数中产生负值。引入一个有效场，它与所施加的场相差一个与磁化强度成比例的平均场项，通常可以解决这个问题。存在复杂的技术来估计最小必要比例常数（移动参数）。在本文中，我们提出了一种更简单的方法来估计平均场效应用于无损检测，这是基于工业钢的测量经验。引入了一个新的参数（位移参数）来监测平均场效应。研究了几种钢的位移参数与移动参数之间的关系。从初步的实验没有发现之间的相关性的移位参数和经典的磁性，如矫顽场，最大微分磁导率和reversible磁化。
The classical Preisach model (PM) of magnetic hysteresis requires that any minor differential permeability curve lies under minor curves with larger field amplitude. Measurements of ferromagnetic materials show that very often this is not true. By applying the classical PM formalism to measured minor curves one can discover that it leads to an oval-shaped region on each half of the Preisach plane where the calculations produce negative values in the Preisach function. Introducing an effective field, which differs from the applied one by a mean-field term proportional to the magnetization, usually solves this problem. Complex techniques exist to estimate the minimum necessary proportionality constant (the moving parameter). In this paper we propose a simpler way to estimate the mean-field effects for use in nondestructive testing, which is based on experience from the measurements of industrial steels. A new parameter (parameter of shift) is introduced, which monitors the mean-field effects. The relation between the shift parameter and the moving one was studied for a number of steels. From preliminary experiments no correlation was found between the shift parameter and the classical magnetic ones such as the coercive field, maximum differential permeability and remanent magnetization.