Metamodel of Parametric Geometric Magnetostatic Problem Based on PGD and RBF Approaches

In order to reduce the computational time induced by solving a finite element (FE) model for a magnetostatic problem with varying geometric parameters, a parametric geometric metamodel is defined using the Proper Generalized Decomposition (PGD) approach. The mesh deformation associated with the geom...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on magnetics Jg. 59; H. 2; S. 1
Hauptverfasser: Boumesbah, A. E., Tomezyk, J., Henneron, T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Computing time
Finite element method
Inductance
Interpolation
Magnetism
Metamodels
Model Order Reduction
Permanent magnets
Proper Generalized Decomposition
Radial basis function
Radial Basis Functions
Synchronous machines
ISSN:0018-9464, 1941-0069
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In order to reduce the computational time induced by solving a finite element (FE) model for a magnetostatic problem with varying geometric parameters, a parametric geometric metamodel is defined using the Proper Generalized Decomposition (PGD) approach. The mesh deformation associated with the geometric variation is implemented using the Radial Basis Functions (RBF) interpolation method. The proposed approach is applied to a variable inductance, then to a permanent magnet synchronous machine (PMSM). The results show that the PGD metamodel can accurately approximate the FE solution for the case of parametric geometric problems.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2022.3231464