Multiobjective sequential design optimization of PM-SMC motors for six sigma quality manufacturing

Lei, G; Zhu, J; Guo, Y; Shao, K; Xu, W

Multiobjective sequential design optimization of PM-SMC motors for six sigma quality manufacturing

Lei, G

Zhu, J

Guo, Y

Shao, K Xu, W

Permalink

Publication Type:: Journal Article
Citation:: IEEE Transactions on Magnetics, 2014, 50 (2)
Issue Date:: 2014-02-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Microsoft Word

Download full textMicrosoft Word (434 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Shao, K	en_US
dc.contributor.author	Xu, W	en_US
dc.date.issued	2014-02-01	en_US
dc.identifier.citation	IEEE Transactions on Magnetics, 2014, 50 (2)	en_US
dc.identifier.issn	0018-9464	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33259
dc.description.abstract	In our previous work, two kinds of permanent magnet (PM) synchronous motors, transverse flux motor (TFM) and claw pole motor, were designed and fabricated using the soft magnetic composite (SMC) cores. This paper presents multiobjective and robust design optimization for high-quality manufacturing of these PM-SMC motors to improve their industrial applications. Meanwhile, an improved multiobjective sequential optimization method is presented to reduce the computation cost. Thereafter, a PM TFM with SMC core is investigated to illustrate the performance of the proposed method. From the discussion, it can be found that six sigma quality manufacturing was achieved for all Pareto design schemes given by the proposed method. Furthermore, manufacturing cost and computation cost have been reduced a lot. © 2014 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP120104305
dc.relation	http://purl.org/au-research/grants/arc/DP0773858
dc.relation	http://purl.org/au-research/grants/arc/DP1096847
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.2013.2277598	en_US
dc.subject.classification	Applied Physics	en_US
dc.title	Multiobjective sequential design optimization of PM-SMC motors for six sigma quality manufacturing	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	50	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/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	50	en_US

Abstract:

In our previous work, two kinds of permanent magnet (PM) synchronous motors, transverse flux motor (TFM) and claw pole motor, were designed and fabricated using the soft magnetic composite (SMC) cores. This paper presents multiobjective and robust design optimization for high-quality manufacturing of these PM-SMC motors to improve their industrial applications. Meanwhile, an improved multiobjective sequential optimization method is presented to reduce the computation cost. Thereafter, a PM TFM with SMC core is investigated to illustrate the performance of the proposed method. From the discussion, it can be found that six sigma quality manufacturing was achieved for all Pareto design schemes given by the proposed method. Furthermore, manufacturing cost and computation cost have been reduced a lot. © 2014 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/33259