An Efficient and Robust Quasi-Newton Method for 3D Magnetic Vector Hysteresis using the Reduced Magnetic Scalar Potential

Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Beschreibung

In this work, an incorporation of a vector hysteresis model in FEM for the 3D reduced magnetic scalar potential is developed by using a quasi Newton method and a new backtracking method to obtain a line search parameter which improves robustness and convergence rate of the algorithm. Numerical experiments show the effectiveness of the deployed method.
Zeitraum18 Sept. 2022 → 21 Sept. 2022
Ereignistitel20th International IGTE Symposium on Computational Methods in Electromagnetics and Multiphysics: IGTE 2022
VeranstaltungstypKonferenz
OrtHybrider Event, Graz, ÖsterreichAuf Karte anzeigen
BekanntheitsgradInternational

Schlagwörter

  • Vector Hysteresis
  • Finite Elemente Method
  • educed Scalar Potential
  • Quasi-Newton

Fields of Expertise

  • Advanced Materials Science
  • Information, Communication & Computing