Identification of magnetic properties for cutting edge of electrical steel sheets

Timo P. Holopainen; Paavo Rasilo; Antero Arkkio

doi:10.1109/ICELMACH.2016.7732765

Identification of magnetic properties for cutting edge of electrical steel sheets

Timo P. Holopainen, Paavo Rasilo, Antero Arkkio

Department of Electrical Engineering and Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

Electrical steel sheets of motors and generators are usually shaped to the final form by punching. The punching and other cutting processes generate large plastic deformations and residual stresses. These are known to deteriorate the magnetic properties of the edge region. However, the characterization of this deterioration in the form of magnetic properties is missing. The main aim of this paper is to a method to identify the magnetic properties of the edge region based on experimental results. This approach is demonstrated by using previously presented test results for magnetic properties of rectangular strips. The width of these strips is varied, and thus, the share of the edge region to the whole can be used as a variable. Based on this variation a simple model is developed and the model parameters fitted to the experimental results. The correspondence between the calculated and experimental results is good.

Original language	English
Title of host publication	Proceedings of the 2016 22nd International Conference on Electrical Machines, ICEM 2016
Publisher	IEEE
Pages	1783-1787
Number of pages	5
ISBN (Electronic)	9781509025381
DOIs	https://doi.org/10.1109/ICELMACH.2016.7732765
Publication status	Published - 2 Nov 2016
MoE publication type	A4 Article in a conference publication
Event	International Conference on Electrical Machines - Lausanne, Switzerland Duration: 4 Sep 2016 → 7 Sep 2016 Conference number: 22 http://www.icem.cc/2016/

Conference

Conference	International Conference on Electrical Machines
Abbreviated title	ICEM
Country	Switzerland
City	Lausanne
Period	04/09/2016 → 07/09/2016
Internet address	http://www.icem.cc/2016/

Keywords

Electric machines
magnetic losses
magnetic materials
magnetic properties
punching
sheet materials
sheet metal processing

Access to Document

10.1109/ICELMACH.2016.7732765

Link to publication in Scopus

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Cite this

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title = "Identification of magnetic properties for cutting edge of electrical steel sheets",

abstract = "Electrical steel sheets of motors and generators are usually shaped to the final form by punching. The punching and other cutting processes generate large plastic deformations and residual stresses. These are known to deteriorate the magnetic properties of the edge region. However, the characterization of this deterioration in the form of magnetic properties is missing. The main aim of this paper is to a method to identify the magnetic properties of the edge region based on experimental results. This approach is demonstrated by using previously presented test results for magnetic properties of rectangular strips. The width of these strips is varied, and thus, the share of the edge region to the whole can be used as a variable. Based on this variation a simple model is developed and the model parameters fitted to the experimental results. The correspondence between the calculated and experimental results is good.",

keywords = "Electric machines, magnetic losses, magnetic materials, magnetic properties, punching, sheet materials, sheet metal processing",

author = "Holopainen, {Timo P.} and Paavo Rasilo and Antero Arkkio",

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Holopainen, TP, Rasilo, P & Arkkio, A 2016, Identification of magnetic properties for cutting edge of electrical steel sheets. in Proceedings of the 2016 22nd International Conference on Electrical Machines, ICEM 2016., 7732765, IEEE, pp. 1783-1787, International Conference on Electrical Machines, Lausanne, Switzerland, 04/09/2016. https://doi.org/10.1109/ICELMACH.2016.7732765

Identification of magnetic properties for cutting edge of electrical steel sheets. / Holopainen, Timo P.; Rasilo, Paavo; Arkkio, Antero.

Proceedings of the 2016 22nd International Conference on Electrical Machines, ICEM 2016. IEEE, 2016. p. 1783-1787 7732765.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Rasilo, Paavo

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N2 - Electrical steel sheets of motors and generators are usually shaped to the final form by punching. The punching and other cutting processes generate large plastic deformations and residual stresses. These are known to deteriorate the magnetic properties of the edge region. However, the characterization of this deterioration in the form of magnetic properties is missing. The main aim of this paper is to a method to identify the magnetic properties of the edge region based on experimental results. This approach is demonstrated by using previously presented test results for magnetic properties of rectangular strips. The width of these strips is varied, and thus, the share of the edge region to the whole can be used as a variable. Based on this variation a simple model is developed and the model parameters fitted to the experimental results. The correspondence between the calculated and experimental results is good.

AB - Electrical steel sheets of motors and generators are usually shaped to the final form by punching. The punching and other cutting processes generate large plastic deformations and residual stresses. These are known to deteriorate the magnetic properties of the edge region. However, the characterization of this deterioration in the form of magnetic properties is missing. The main aim of this paper is to a method to identify the magnetic properties of the edge region based on experimental results. This approach is demonstrated by using previously presented test results for magnetic properties of rectangular strips. The width of these strips is varied, and thus, the share of the edge region to the whole can be used as a variable. Based on this variation a simple model is developed and the model parameters fitted to the experimental results. The correspondence between the calculated and experimental results is good.

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