11 papers · 1 filter
Subdivision-based isogeometric analysis for axisymmetric electromagnetic problems
Devin Balian, Sebastian Schöps, Melina Merkel
This paper applies a subdivision-based isogeometric method to solve the axisymmetric Maxwell eigenvalue problem. The reduction to an -formulation allows to use a Catmull-Clark…
On the Application of Hybrid Mixed Domain Decomposition Methods to Permanent Magnet Synchronous Machines
Timon Seibel, Sebastian Schöps, Kersten Schmidt
In this work, we study the application of a hybrid mixed domain decomposition (HMDD) method for the rotor-stator coupling of a permanent magnet synchronous machine. For this, we de…
Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty
Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
This work introduces the use of multivariate global sensitivity analysis for assessing the impact of uncertain electric machine design parameters on efficiency maps and profiles. C…
Homogenization of HTS coils with the h, h-phi, and t-omega foil conductor model
Elias Paakkunainen, Louis Denis, Benoît Vanderheyden +3
Efficient numerical models are required for the design of systems with high temperature superconductor (HTS) coils, as fully resolved finite element simulations of individual coate…
Learning electromagnetic fields based on finite element basis functions
Merle Backmeyer, Michael Wiesheu, Sebastian Schöps
Parametric surrogate models of electric machines are widely used for efficient design optimization and operational monitoring. Addressing geometry variations, spline-based computer…
Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
Robert Hahn, Sebastian Schöps
While generally considered computationally expensive, Uncertainty Quantification using Monte Carlo sampling remains beneficial for applications with uncertainties of high dimension…