4.4 Article

A Preisach-Based Magnetostriction Model for Highly Grain-Oriented Electrical Steel Under Rotating Magnetic Field

期刊

IEEE TRANSACTIONS ON MAGNETICS
卷 58, 期 2, 页码 -

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMAG.2021.3130963

关键词

Magnetostriction; Magnetic field measurement; Strain measurement; Vibrations; Strain; Rotation measurement; Magnetization; Electrical steel sheet (ESS); magnetic field; Preisach-based magnetostriction model

资金

  1. National Natural Science Foundation of China [52007113, 51777139]
  2. Shanghai Sailing Program [20YF1416300]
  3. Shanghai Frontiers Science Center of Full Penetration Far-Reaching Offshore Ocean Energy and Power

向作者/读者索取更多资源

The article proposes a Preisach-based magnetostriction model for HGO-ESS to simulate the magnetostriction properties under different magnetic field conditions. The model constructs and identifies Everett function databases by measuring symmetric magnetostriction butterfly loops. Comparisons between simulation data and measurement data are made to verify the effectiveness of the proposed model under various rotational magnetization conditions.
An accurate estimation for the magnetostrictive effect in highly grain-oriented electrical steel sheet (HGO-ESS) is helpful for determining the deformation and vibration originating from magnetostriction during the design stages of electrical equipment such as the motor and power transformer. In this article, a Preisach-based magnetostriction model for HGO-ESS is proposed to simulate the normal and shear magnetostriction properties under alternating and rotating magnetic fields. In the model, the Everett function databases are constructed and identified by using a set of measured symmetric magnetostriction butterfly loops under different rotating magnetic field conditions. The measurement butterfly loops are measured by a round-type two-dimensional single strain tester (R-2-D-SST). Finally, the simulation data and measurement data under different rotational magnetization conditions are compared to verify the effectiveness of the proposed model.

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