Robust Multidisciplinary Design Optimization of PM Machines with Soft Magnetic Composite Cores for Batch Production

Lei, G; Liu, C; Guo, Y; Zhu, J

Robust Multidisciplinary Design Optimization of PM Machines with Soft Magnetic Composite Cores for Batch Production

Lei, G

Liu, C Guo, Y

Zhu, J

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Magnetics, 2016, 52 (3)
Issue Date:: 2016-03-01

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Field	Value	Language
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802	en_US
dc.contributor.author	Liu, C	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2016-03-01	en_US
dc.identifier.citation	IEEE Transactions on Magnetics, 2016, 52 (3)	en_US
dc.identifier.issn	0018-9464	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122623
dc.description.abstract	© 1965-2012 IEEE. This paper presents a robust approach for multidisciplinary design optimization of permanent magnet (PM) motors with soft magnetic composite (SMC) cores to improve their manufacturing quality in batch production. First, a general multidisciplinary design analysis framework is developed for PM-SMC motors, which includes electromagnetic, thermal, modal, and manufacturing analyses. Second, an improved multilevel optimization method is presented to improve the efficiency of the robust optimization. Finally, to demonstrate the effectiveness, a PM-SMC transverse flux machine is investigated. The numerical solutions, including electromagnetic and thermal analyses, are validated by the experimental results. As shown, the proposed method can significantly increase motor's reliability and greatly reduce the computation cost, which benefits the mass production in industrial applications.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0773858
dc.relation	http://purl.org/au-research/grants/arc/LP0454306R1
dc.relation.ispartof	IEEE Transactions on Magnetics	en_US
dc.relation.isbasedon	10.1109/TMAG.2015.2485983	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Applied Physics	en_US
dc.title	Robust Multidisciplinary Design Optimization of PM Machines with Soft Magnetic Composite Cores for Batch Production	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	52	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 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 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 - CCET - Centre for Clean Energy Technology
utslib.copyright.status	closed_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	52	en_US

Abstract:

© 1965-2012 IEEE. This paper presents a robust approach for multidisciplinary design optimization of permanent magnet (PM) motors with soft magnetic composite (SMC) cores to improve their manufacturing quality in batch production. First, a general multidisciplinary design analysis framework is developed for PM-SMC motors, which includes electromagnetic, thermal, modal, and manufacturing analyses. Second, an improved multilevel optimization method is presented to improve the efficiency of the robust optimization. Finally, to demonstrate the effectiveness, a PM-SMC transverse flux machine is investigated. The numerical solutions, including electromagnetic and thermal analyses, are validated by the experimental results. As shown, the proposed method can significantly increase motor's reliability and greatly reduce the computation cost, which benefits the mass production in industrial applications.

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http://hdl.handle.net/10453/122623