activity
20162026
most citedIsogeometric Analysis and Harmonic Stator-Rotor Coupling for Simulating Electric Machines

25 citations · 195 across the 36 of their papers we have counts for

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cs.CE2026

The CREATOR Project: Towards a Computational Electric Machine Laboratory

Sebastian Schöps, Annette Muetze, Herbert De Gersem +3

The Collaborative Research Centre TRR 361/F90 CREATOR (2022-2030) aims at establishing a new paradigm for the simulation-driven design of electric machines. Increasing demands on e…

cs.CE2024★ 1 cited

Transient Nonlinear Electrothermal Adjoint Sensitivity Analysis for HVDC Cable Joints

M. Greta Ruppert, Yvonne Späck-Leigsnering, Herbert De Gersem

Efficient computation of sensitivities is a promising approach for efficiently of designing and optimizing high voltage direct current cable joints. This paper presents the adjoint…

cs.CE2024

Considering Capacitive Effects in Foil Winding Homogenization

Jonas Bundschuh, Yvonne Späck-Leigsnering, Herbert De Gersem

In conventional finite element simulations, foil windings with a thin foil and many turns require many mesh elements. This renders models quickly computationally infeasible. With t…

cs.CE2023★ 3 cited

Reformulation and generalisation of the air-gap element

Herbert De Gersem, Thomas Weiland

The air-gap macro element is reformulated such that rotation, rotor or stator skewing and rotor eccentricity can be incorporated easily. The air-gap element is evaluated using Fast…

cs.CE2023

Homogenization of Foil Windings with Globally Supported Polynomial Shape Functions

Jonas Bundschuh, Yvonne Späck-Leigsnering, Herbert De Gersem

In conventional finite element simulations, foil windings with thin foils and with a large number of turns require many mesh elements. This renders models quickly computationally i…

cs.CE2023★ 15 cited

Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification

Dimitrios Loukrezis, Eric Diehl, Herbert De Gersem

This work develops a novel basis-adaptive method for constructing anisotropic polynomial chaos expansions of multidimensional (vector-valued, multi-output) model responses. The ada…

cs.CE2023

Efficient Reduced Magnetic Vector Potential Formulation for the Magnetic Field Simulation of Accelerator Magnets

Laura A. M. D'Angelo, Dominik Moll, Andrea Vitrano +5

The major advantage of reduced magnetic vector potential formulations (RMVPs) is that complicated coil structures do not need to be resolved by a computational mesh. Instead, they…

cs.CE2023★ 7 cited

Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model

Moritz von Tresckow, Herbert De Gersem, Dimitrios Loukrezis

This work proposes a hybrid modeling framework based on recurrent neural networks (RNNs) and the finite element (FE) method to approximate model discrepancies in time dependent, mu…

cs.CE2023★ 1 cited

Data-driven Modified Nodal Analysis Circuit Solver

Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem

This work introduces a novel data-driven modified nodal analysis (MNA) circuit solver. The solver is capable of handling circuit problems featuring elements for which solely measur…

cs.CE2023★ 1 cited

Low-Frequency Stabilization of Dielectric Simulation Problems with Conductors and Insulators

Devin Balian, Melina Merkel, Jörg Ostrowski +2

When simulating resistive-capacitive circuits or electroquasistatic problems where conductors and insulators coexist, one observes that large time steps or low frequencies lead to…

cs.CE2022★ 6 cited

Adjoint Variable Method for Transient Nonlinear Electroquasistatic Problems

M. Greta Ruppert, Yvonne Späck-Leigsnering, Julian Buschbaum +1

Many optimization problems in electrical engineering consider a large number of design parameters. A sensitivity analysis identifies the design parameters with the strongest influe…

cs.CE2022★ 8 cited

An -adaptive multi-element stochastic collocation method for surrogate modeling with information re-use

Armin Galetzka, Dimitrios Loukrezis, Niklas Georg +2

This paper introduces an -adaptive multi-element stochastic collocation method, which additionally allows to re-use existing model evaluations during either - or -refinem…

cs.CE2022★ 7 cited

Power Module Heat Sink Design Optimization with Ensembles of Data-Driven Polynomial Chaos Surrogate Models

Dimitrios Loukrezis, Herbert De Gersem

We consider the problem of optimizing the design of a heat sink used for cooling an insulated gate bipolar transistor (IGBT) power module. The thermal behavior of the heat sink is…

cs.CE2021★ 20 cited

Capacitance calculation of unloaded rolling elements -- Comparison of analytical and numerical methods

Steffen Puchtler, Tobias Schirra, Eckhard Kirchner +2

Various methods for calculating the capacitance of unloaded rolling elements are compared to improve the electric characterization of rolling element bearings. Semi-analytical appr…

cs.CE2021★ 4 cited

A Neural Solver for Variational Problems on CAD Geometries with Application to Electric Machine Simulation

Moritz von Tresckow, Stefan Kurz, Herbert De Gersem +1

This work presents a deep learning-based framework for the solution of partial differential equations on complex computational domains described with computer-aided design tools. T…

cs.CE2021★ 4 cited

Three-Dimensional Data-Driven Magnetostatic Field Computation using Real-World Measurement Data

Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem

This paper presents a practical case study of a data-driven magnetostatic finite element solver applied to a real-world three-dimensional problem. Instead of using a hard-coded phe…

cs.CE2020★ 5 cited

Broadband Finite-Element Impedance Computation for Parasitic Extraction

Jonathan Stysch, Andreas Klaedtke, Herbert De Gersem

Parasitic extraction is a powerful tool in the design process of electromechanical devices, specifically as part of workflows that check electromagnetic compatibility. A novel sche…

cs.CE2019★ 5 cited

Quasi-3D Thermal Simulation of Quench Propagation in Superconducting Magnets

Laura A. M. D'Angelo, Jonas Christ, Herbert De Gersem

To deal with the multi-scale nature of the quench propagation problem in superconducting magnets, this work presents a quasi-three-dimensional (Q3D) approach combining a two-dimens…

cs.CE2018★ 1 cited

Uncertainty Quantification For A Permanent Magnet Synchronous Machine With Dynamic Rotor Eccentricity

Zeger Bontinck, Oliver Lass, Herbert De Gersem +1

The influence of dynamic eccentricity on the harmonic spectrum of the torque of a permanent magnet synchronous machine is studied. The spectrum is calculated by an energy balance m…

cs.CE2017★ 23 cited

Assessing the Performance of Leja and Clenshaw-Curtis Collocation for Computational Electromagnetics with Random Input Data

Dimitrios Loukrezis, Ulrich Römer, Herbert De Gersem

We consider the problem of quantifying uncertainty regarding the output of an electromagnetic field problem in the presence of a large number of uncertain input parameters. In orde…

cs.CE2017★ 6 cited

Recent Advances of Isogeometric Analysis in Computational Electromagnetics

Zeger Bontinck, Jacopo Corno, Herbert De Gersem +8

In this communication the advantages and drawbacks of the isogeometric analysis (IGA) are reviewed in the context of electromagnetic simulations. IGA extends the set of polynomial…

cs.CE2016★ 1 cited

Automatic Generation of Equivalent Electrothermal SPICE Netlists from 3D Electrothermal Field Models

Thorben Casper, Herbert De Gersem, Sebastian Schöps

Starting from a 3D electrothermal field problem discretized by the Finite Integration Technique, the equivalence to a circuit description is shown by exploiting the analogy to the…

cs.CE2016★ 5 cited

Electrothermal Simulation of Bonding Wire Degradation under Uncertain Geometries

Thorben Casper, Herbert De Gersem, Renaud Gillon +4

In this paper, electrothermal field phenomena in electronic components are considered. This coupling is tackled by multiphysical field simulations using the Finite Integration Tech…

cs.CE2016★ 9 cited

High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decompositions

D. Loukrezis, U. Römer, T. Casper +2

The temperature developed in bondwires of integrated circuits (ICs) is a possible source of malfunction, and has to be taken into account during the design phase of an IC. Due to m…