Classical and IT based magnetization dynamics modeling

Abstract

This paper reviews the classical magneitization models for computation use, and also proposes informa- tion/intelligence technology (IT, in short) based model for the magnetodynamics in ferromagnetic materials. At first, Fourier model of the hysteretic magnetization is derived. Second, assuming the bar-like domain walls derives a domain-based model. This model is verified by a simple example. Third, a composite model by combining the Preisach with domain-based models is derived, and then, Rayleigh's law is derived. Finally, IT based model for magnetodynamics in ferromagnetic materials is introduced. Modeling of the ferromagnetic materials is of paramount importance for modern computational mag- netodynamics in order to carry out the practical magnetic device design. Fundamentally, the elements comprising the modern electronic as well as electrical devices are classified into two major categories. One is the active element such as silicon controlled rectifier and Power MOS FET. The other is the passive element such as resistance, capacitance and inductance. Even if the inductors are regarded as one of the linear elements in the undergraduate textbook, practically most of them exhibit a serious non-linearity, e.g., saturation and hysteretic properties. In the present paper, at first, we derive a phenomenological magnetization model by means of Fourier series. Second, assuming the bar-like domain walls leads to a domain-based model. Third, a composite model by combining the Preisach with domain-based models is derived. Analytical solution of this composite model leads to famous Lord Rayleigh's law. Finally, we propose the IT based magnetization model utilizing digital computers and its network under the Internet infrastructure. Therefore, this IT based model is derived the digital images. Practically this IT based model is applied to SEM images of grain oriented silicon steel sheet. We recover the magnetization characteristics at the normal, lancet and strained magnetic domains on the SEM image. Thus, this paper suggests an implementation methodology of computer-aided magnetic device design fully taking into account the magnetization characteristics in ferromagnetic materials.