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

Domenig, L. D. (Speaker)
Sauseng, A. (Contributor)
Roppert, K. (Contributor)
Gschwentner, A. (Contributor)
Kaltenbacher, M. (Contributor)

Institute of Fundamentals and Theory in Electrical Engineering (4370)

Activity: Talk or presentation › Talk at conference or symposium › Science to science

Description

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.

Period	18 Sept 2022 → 21 Sept 2022
Event title	20th International IGTE Symposium on Computational Methods in Electromagnetics and Multiphysics: IGTE 2022
Event type	Conference
Location	Hybrider Event, Graz, AustriaShow on map
Degree of Recognition	International

Fields of Expertise

Advanced Materials Science
Information, Communication & Computing