Determination of 3D magnetic reluctivity tensor of soft magnetic composite material

Guo, YG; Zhu, JG; Lin, ZW; Zhong, JJ; Lu, HY; Wang, S

Determination of 3D magnetic reluctivity tensor of soft magnetic composite material

Guo, YG

Zhu, JG

Lin, ZW Zhong, JJ Lu, HY

Wang, S

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Publication Type:: Journal Article
Citation:: Journal of Magnetism and Magnetic Materials, 2007, 312 (2), pp. 458 - 463
Issue Date:: 2007-05-01

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Field	Value	Language
dc.contributor.author	Guo, YG https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Zhu, JG https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Lin, ZW	en_US
dc.contributor.author	Zhong, JJ	en_US
dc.contributor.author	Lu, HY https://orcid.org/0000-0001-5655-0237	en_US
dc.contributor.author	Wang, S https://orcid.org/0000-0002-5251-8704	en_US
dc.date.issued	2007-05-01	en_US
dc.identifier.citation	Journal of Magnetism and Magnetic Materials, 2007, 312 (2), pp. 458 - 463	en_US
dc.identifier.issn	0304-8853	en_US
dc.identifier.uri	http://hdl.handle.net/10453/459
dc.description.abstract	Soft magnetic composite (SMC) materials are especially suitable for construction of electrical machines with complex structures and three-dimensional (3D) magnetic fluxes. In the design and optimization of such 3D flux machines, the 3D vector magnetic properties of magnetic materials should be properly determined, modeled, and applied for accurate calculation of the magnetic field distribution, parameters, and performance. This paper presents the measurement of 3D vector magnetic properties and determination of 3D reluctivity tensor of SMC. The reluctivity tensor is a key factor for accurate numerical analysis of magnetic field in a 3D flux SMC motor. © 2007 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	Journal of Magnetism and Magnetic Materials	en_US
dc.relation.isbasedon	10.1016/j.jmmm.2006.11.215	en_US
dc.subject.classification	Applied Physics	en_US
dc.title	Determination of 3D magnetic reluctivity tensor of soft magnetic composite material	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	312	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0204 Condensed Matter Physics	en_US
utslib.for	0912 Materials Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GEVI - Green Energy and Vehicle Innovations
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	312	en_US

Abstract:

Soft magnetic composite (SMC) materials are especially suitable for construction of electrical machines with complex structures and three-dimensional (3D) magnetic fluxes. In the design and optimization of such 3D flux machines, the 3D vector magnetic properties of magnetic materials should be properly determined, modeled, and applied for accurate calculation of the magnetic field distribution, parameters, and performance. This paper presents the measurement of 3D vector magnetic properties and determination of 3D reluctivity tensor of SMC. The reluctivity tensor is a key factor for accurate numerical analysis of magnetic field in a 3D flux SMC motor. © 2007 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/459