61 citations · 329 across the 55 of their papers we have counts for
57 papers
Simplification of the Isotropic Generalized Stop-Type Prandtl-Ishlinskii Vector Hysteresis Operator Using Analytical Return-Point Mapping
Arvinth Shankar, Klaus Kuhnen, Iryna Kulchytska-Ruchka +1
While the thermodynamically formulated generalized Prandtl-Ishlinskii stop-type operator effectively captures hysteresis nonlinearities, it requires a local iterative procedure to…
Accelerating Industrial Finite Element Simulations of Electric Machines based on Runtime Analysis
Arvinth Shankar, Iryna Kulchytska-Ruchka, Sebastian Schöps
The simulation of electric machines plays a significant role in the design of efficient and competitive products. Faster simulations reduce computational costs, such as CPU hours,…
Efficient Pareto-Front Generation for Electric Machines using IGA and Second Order Derivatives
Theodor Komann, Michael Wiesheu, Stefan Ulbrich +2
The multiobjective optimization of electric machines always involves a trade-off caused by various competing objectives such as performance and cost. A suitable design is usually d…
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…
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…
A Comparison of Multirate Co-Simulation Techniques for Field-Circuit Coupled Problems
Michael Wiesheu, Sebastian Schöps, Idoia Cortes Garcia
This paper compares three different multirate splitting approaches for the application on field-circuit coupled magnetoquasistatic simulations. For these methods, again three diffe…
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 der…
A non-intrusive approach to index-aware learning
Peter Förster, Idoia Cortes Garcia, Wil Schilders +1
We present a non-intrusive version of the index-aware learning framework introduced in arXiv:2309.00958. Index-aware learning itself is an approach for learning the time and parame…
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…
Extending the Numerical Flow Iteration to the multi-species Vlasov-Maxwell system through Hamiltonian Splitting
Rostislav-Paul Wilhelm, Fabio Bacchini, Sebastian Schöps +3
The Numerical Flow Iteration (NuFI) method has recently been proposed as a memory-slim while accurate in phase-space method for the electro-static Vlasov--Poisson system. It stores…
Characterization of Permanent Magnet Synchronous Machines based on semi-analytic model reduction for drive cycle analysis
Leon Blumrich, Yves Burkhardt, Sebastian Schöps
The characterization of an interior permanent magnet synchronous machine (IPMSM) requires numerical analysis of the nonlinear magnetic motor model in different load conditions. To…
An Air-Gap Element for the Isogeometric Space-Time-Simulation of Electric Machines
Michael Reichelt, Michael Wiesheu, Melina Merkel +2
Space-time methods promise more efficient time-domain simulations, in particular of electrical machines. However, most approaches require the motion to be known in advance so that…
Isogeometric Shape Optimization of Multi-Tapered Coaxial Baluns Simulated by an Integral Equation Method
Boian Balouchev, Jürgen Dölz, Maximilian Nolte +2
We discuss the advantages of a spline-based freeform shape optimization approach using the example of a multi-tapered coaxial balun connected to a spiral antenna. The underlying si…
A Mixed Tree-Cotree Gauge for the Reduced Basis Approximation of Maxwell's Eigenvalue Problem
Anna Ziegler, Sebastian Schöps
Model order reduction methods are a powerful tool to drastically reduce the computational effort of problems which need to be evaluated repeatedly, i.e., when computing the same sy…
Mortar Thin Shell Approximation for Analysis of Superconducting Accelerator Magnets
Robert Hahn, Erik Schnaubelt, Mariusz Wozniak +2
Thin layers can lead to unfavorable meshes in a finite element (FE) analysis. Thin shell approximations (TSAs) avoid this issue by removing the need for a mesh of the thin layer wh…
Parallel-in-Time Integration of Transient Phenomena in No-Insulation Superconducting Coils Using Parareal
Erik Schnaubelt, Mariusz Wozniak, Julien Dular +3
High-temperature superconductors (HTS) have the potential to enable magnetic fields beyond the current limits of low-temperature superconductors in applications like accelerator ma…
Shape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA cavities
Jürgen Dölz, David Ebert, Sebastian Schöps +1
We consider Maxwell eigenvalue problems on uncertain shapes with perfectly conducting TESLA cavities being the driving example. Due to the shape uncertainty the resulting eigenvalu…
Combined Parameter and Shape Optimization of Electric Machines with Isogeometric Analysis
Michael Wiesheu, Theodor Komann, Melina Merkel +3
In structural optimization, both parameters and shape are relevant for the model performance. Yet, conventional optimization techniques usually consider either parameters or the sh…
Gradient-Based Eigenvalue Optimization for Electromagnetic Cavities with Built-in Mode Matching
Anna Ziegler, Robert Hahn, Victoria Isensee +2
Shape optimization with respect to eigenvalues of a cavity plays an important role in the design of new resonators or in the optimization of existing ones. In our paper, we propose…
Index-aware learning of circuits
Idoia Cortes Garcia, Peter Förster, Lennart Jansen +2
Electrical circuits are present in a variety of technologies, making their design an important part of computer aided engineering. The growing number of parameters that affect the…
Rational kernel-based interpolation for complex-valued frequency response functions
Julien Bect, Niklas Georg, Ulrich Römer +1
This work is concerned with the kernel-based approximation of a complex-valued function from data, where the frequency response function of a partial differential equation in the f…
Aspects of Coupled Problems in Computational Electromagnetics Formulations
Markus Clemens, Sebastian Schöps, Carsten Cimala +4
This paper addresses different aspects of "coupled" model descriptions in computational electromagnetics. This includes domain decomposition, multiscale problems, multiple or hybri…
Parareal for Higher Index Differential Algebraic Equations
Idoia Cortes Garcia, Iryna Kulchytska-Ruchka, Sebastian Schöps
This article proposes modifications of the Parareal algorithm for its application to higher index differential algebraic equations (DAEs). It is based on the idea of applying the a…
Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach
Mona Fuhrländer, Sebastian Schöps
Quantification and minimization of uncertainty is an important task in the design of electromagnetic devices, which comes with high computational effort. We propose a hybrid approa…