Computational electromagnetics for design optimisation: the state of the art and conjectures for the future
Computational electromagnetics for design optimisation: the state of the art and conjectures for the future
The paper reviews the state of the art in modern field simulation techniques available to assist in the design and performance prediction of electromechanical and electromagnetic devices. Commercial software packages, usually exploiting finite element and/or related techniques, provide advanced and reliable tools for every-day use in the design office. At the same time Computational Electromagnetics continues to be a thriving area of research with emerging new techniques and methods, in particular for multi-physics applications and in the area of multi-objective optimisation.
Computational electromagnetics, CAD in magnetics, design and optimisation, electromagnetic fields.
123-131
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
5 July 2009
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Sykulski, J.K.
(2009)
Computational electromagnetics for design optimisation: the state of the art and conjectures for the future.
Bulletin of the Polish Academy of Sciences; Technical Sciences, 57 (2), .
Abstract
The paper reviews the state of the art in modern field simulation techniques available to assist in the design and performance prediction of electromechanical and electromagnetic devices. Commercial software packages, usually exploiting finite element and/or related techniques, provide advanced and reliable tools for every-day use in the design office. At the same time Computational Electromagnetics continues to be a thriving area of research with emerging new techniques and methods, in particular for multi-physics applications and in the area of multi-objective optimisation.
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BulletinPANvol57y2009page123.pdf
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Published date: 5 July 2009
Keywords:
Computational electromagnetics, CAD in magnetics, design and optimisation, electromagnetic fields.
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EEE
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Local EPrints ID: 267692
URI: http://eprints.soton.ac.uk/id/eprint/267692
ISSN: 0239-7528
PURE UUID: 9f1ad54f-cebc-4163-83f6-fa80c0162f7f
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Date deposited: 20 Jul 2009 15:25
Last modified: 15 Mar 2024 02:34
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J.K. Sykulski
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