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Modeling of magnetic properties of GO electrical steel based on Epstein combination and loss data weighted processing

Cheng, Zhiguang, Norio, Takahashi, Forghani, Behzad, Moses, Anthony John, Anderson, Philip Ian, Fan, Yana, Liu, Tao, Wang, Xiaoyan, Zhao, Zhigang and Liu, Lanrong 2014. Modeling of magnetic properties of GO electrical steel based on Epstein combination and loss data weighted processing. IEEE Transactions on Magnetics 50 (1) , 6300209. 10.1109/TMAG.2013.2279840

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Abstract

The extended modeling of the magnetic properties of GO (Grain Oriented) electrical steel is presented in this paper which is based on a set of standard and scaled-down Epstein frames and a proposed two-level weighted processing of Epstein data, including the mean magnetic path length, specific magnetization loss and exciting power. The effects of excitation frequency, strip angle and ambient temperature on the results obtained from the Epstein frames are investigated. It is shown that using the proposed Epstein combination and the two-level weighted processing method is an efficient way of building a model for determining magnetic losses more realistically, hence, improving the value of Epstein strip measurement data.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher: IEEE
ISSN: 0018-9464
Date of First Compliant Deposit: 30 March 2016
Last Modified: 20 Feb 2019 17:19
URI: http://orca.cf.ac.uk/id/eprint/50965

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