Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model

This paper demonstrates how the statistical distribution of pinning fields in a ferromagnetic material can be identified systematically from standard magnetic measurements, Epstein frame or Single Sheet Tester (SST). The correlation between the pinning field distribution and microstructural paramete...

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Main Authors: Kevin Jacques, Simon Steentjes, François Henrotte, Christophe Geuzaine, Kay Hameyer
Format: Article
Language:English
Published: AIP Publishing LLC 2018-04-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.4994199
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spelling doaj-e6a686be723f4888afdb025440740b582020-11-25T01:12:20ZengAIP Publishing LLCAIP Advances2158-32262018-04-0184047602047602-1110.1063/1.4994199012891ADVRepresentation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis modelKevin Jacques0Simon Steentjes1François Henrotte2Christophe Geuzaine3Kay Hameyer4Institute Montefiore - ACE - Université de Liège, B-4000 Liège, BelgiumInstitute of Electrical Machines - RWTH Aachen University, D-52056 Aachen, GermanyInstitute Montefiore - ACE - Université de Liège, B-4000 Liège, BelgiumInstitute Montefiore - ACE - Université de Liège, B-4000 Liège, BelgiumInstitute of Electrical Machines - RWTH Aachen University, D-52056 Aachen, GermanyThis paper demonstrates how the statistical distribution of pinning fields in a ferromagnetic material can be identified systematically from standard magnetic measurements, Epstein frame or Single Sheet Tester (SST). The correlation between the pinning field distribution and microstructural parameters of the material is then analyzed.http://dx.doi.org/10.1063/1.4994199
collection DOAJ
language English
format Article
sources DOAJ
author Kevin Jacques
Simon Steentjes
François Henrotte
Christophe Geuzaine
Kay Hameyer
spellingShingle Kevin Jacques
Simon Steentjes
François Henrotte
Christophe Geuzaine
Kay Hameyer
Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
AIP Advances
author_facet Kevin Jacques
Simon Steentjes
François Henrotte
Christophe Geuzaine
Kay Hameyer
author_sort Kevin Jacques
title Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
title_short Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
title_full Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
title_fullStr Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
title_full_unstemmed Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
title_sort representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2018-04-01
description This paper demonstrates how the statistical distribution of pinning fields in a ferromagnetic material can be identified systematically from standard magnetic measurements, Epstein frame or Single Sheet Tester (SST). The correlation between the pinning field distribution and microstructural parameters of the material is then analyzed.
url http://dx.doi.org/10.1063/1.4994199
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