TU Darmstadt / ULB / TUbiblio

Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements

Ion, Ion Gabriel ; Bontinck, Zeger ; Loukrezis, Dimitrios ; Römer, Ulrich ; Lass, Oliver ; Ulbrich, Stefan ; Schöps, Sebastian ; De Gersem, Herbert :
Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements.
[Online-Edition: https://doi.org/10.1007/s00202-018-0716-6]
In: Electrical Engineering (Archiv für Elektrotechnik) ISSN 1432-0487
[Artikel], (2018)

Offizielle URL: https://doi.org/10.1007/s00202-018-0716-6

Kurzbeschreibung (Abstract)

In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine decomposition of the geometry or by the design element approach, both of which avoid remeshing. Furthermore, it is shown how to robustify the optimization procedure, i.e., how to deal with uncertainties on the design parameters. The overall procedure is illustrated by an academic example and by the example of a permanent-magnet synchronous machine. The examples show the advantages of deterministic optimization compared to standard and popular stochastic optimization procedures such as, e.g., particle swarm optimization.

Typ des Eintrags: Artikel
Erschienen: 2018
Autor(en): Ion, Ion Gabriel ; Bontinck, Zeger ; Loukrezis, Dimitrios ; Römer, Ulrich ; Lass, Oliver ; Ulbrich, Stefan ; Schöps, Sebastian ; De Gersem, Herbert
Titel: Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements
Sprache: Englisch
Kurzbeschreibung (Abstract):

In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine decomposition of the geometry or by the design element approach, both of which avoid remeshing. Furthermore, it is shown how to robustify the optimization procedure, i.e., how to deal with uncertainties on the design parameters. The overall procedure is illustrated by an academic example and by the example of a permanent-magnet synchronous machine. The examples show the advantages of deterministic optimization compared to standard and popular stochastic optimization procedures such as, e.g., particle swarm optimization.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: Electrical Engineering (Archiv für Elektrotechnik)
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Theorie Elektromagnetischer Felder
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Theorie Elektromagnetischer Felder > Computational Engineering
Exzellenzinitiative
Exzellenzinitiative > Graduiertenschulen
Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE)
Hinterlegungsdatum: 18 Aug 2018 17:35
Offizielle URL: https://doi.org/10.1007/s00202-018-0716-6
Verwandte URLs:
Export:

Optionen (nur für Redakteure)

Eintrag anzeigen Eintrag anzeigen