Magnetostrictive hysteretic properties estimation of electrical steel sheet under external stress using improved ADSM model
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Published:2022-05-16
Issue:1
Volume:42
Page:26-37
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ISSN:0332-1649
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Container-title:COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
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language:en
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Short-container-title:COMPEL
Author:
Li Mengxing,Zhang YanLi,Jing Ying,Wang Zhen,Xie Dexin
Abstract
Purpose
The purpose of this paper is to improve the modeling accuracy of the magnetostrictive hysteretic characteristics by introducing hysteresis energy instead of pinning energy in the assembled domain structure model (ADSM).
Design/methodology/approach
First, the magnetostrictive characteristics and the domain movement process in an electrical steel sheet are measured and observed. The reasons for the influence of stress on magnetostriction are discussed on the mesoscopic level. Second, the ADSM model using the hysteresis energy is investigated to estimate the influence of external stress. Finally, the simulation results of the modified ADSM model are compared with the experimental data under the same calculation conditions.
Findings
The results show that the improved model not only explains the cause of hysteresis clearly from the perspective of the magnetic moment but also improves the modeling ability of magnetostrictive hysteretic.
Originality/value
The magnetostriction in electrical steel lags behind the external magnetic field, and it is significant for reducing core vibration to estimate the magnetostrictive hysteretic property accurately. This paper proposes an effective approach to model the hysteretic characterization of magnetostriction.
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computational Theory and Mathematics,Computer Science Applications
Reference16 articles.
1. Hysteresis modeling of high-temperature superconductor using simplified preisach model;IEEE Transactions on Magnetics,2018
2. Energy-based magnetization and magnetostriction modeling of grain-oriented silicon steel under vectorial excitations;IEEE Transactions on Magnetics,2016
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