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Magnetic field simulation with data-driven material modeling

De Gersem, Herbert ; Galetzka, Armin ; Ion, Ion Gabriel ; Loukrezis, Dimitrios ; Römer, Ulrich (2020)
Magnetic field simulation with data-driven material modeling.
In: IEEE Transactions on Magnetics, 56 (8)
doi: 10.1109/TMAG.2020.3002092
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

This article develops a data-driven magnetostatic finite-element (FE) solver that directly exploits the measured material data instead of a material curve constructed from it. The distances between the field solution and the measurement points are minimized while enforcing Maxwell's equations. The minimization problem is solved by employing the Lagrange multiplier approach. The procedure wraps the FE method within an outer data-driven iteration. The method is capable of considering anisotropic materials and is adapted to deal with models featuring a combination of exact material knowledge and measured material data. Thereto, three approaches with an increasing level of intrusivity according to the FE formulation are proposed. The numerical results for a quadrupole-magnet model show that data-driven field simulation is feasible and affordable and overcomes the need of modeling the material law.

Typ des Eintrags: Artikel
Erschienen: 2020
Autor(en): De Gersem, Herbert ; Galetzka, Armin ; Ion, Ion Gabriel ; Loukrezis, Dimitrios ; Römer, Ulrich
Art des Eintrags: Bibliographie
Titel: Magnetic field simulation with data-driven material modeling
Sprache: Englisch
Publikationsjahr: August 2020
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Transactions on Magnetics
Jahrgang/Volume einer Zeitschrift: 56
(Heft-)Nummer: 8
DOI: 10.1109/TMAG.2020.3002092
Kurzbeschreibung (Abstract):

This article develops a data-driven magnetostatic finite-element (FE) solver that directly exploits the measured material data instead of a material curve constructed from it. The distances between the field solution and the measurement points are minimized while enforcing Maxwell's equations. The minimization problem is solved by employing the Lagrange multiplier approach. The procedure wraps the FE method within an outer data-driven iteration. The method is capable of considering anisotropic materials and is adapted to deal with models featuring a combination of exact material knowledge and measured material data. Thereto, three approaches with an increasing level of intrusivity according to the FE formulation are proposed. The numerical results for a quadrupole-magnet model show that data-driven field simulation is feasible and affordable and overcomes the need of modeling the material law.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Teilchenbeschleunigung und Theorie Elektromagnetische Felder > Theorie Elektromagnetischer Felder
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Teilchenbeschleunigung und Theorie Elektromagnetische Felder
Hinterlegungsdatum: 20 Jun 2023 11:44
Letzte Änderung: 20 Jun 2023 11:44
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