activity
20222026
most citedHow to Build the Optimal Magnet Assembly for Magnetocaloric Cooling: Structural Optimization with Isogeometric Analysis

7 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

math.NA2026

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…

math.NA2026

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…

cs.CE2026

Gradient-Informed Machine Learning in Electromagnetics

Matteo Zorzetto, Merle Backmeyer, Michael Wiesheu +3

Simulation techniques such as the finite element method are essential for designing electrical devices, but their computational cost can be prohibitive for repeated or real-time co…

cs.CE2025

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…

math.NA2025

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…

cs.CE2025

Isogeometric Analysis for 2D Magnetostatic Computations with Multi-level Bézier Extraction for Local Refinement

Andreas Grendas, Michael Wiesheu, Sebastian Schöps +1

Local refinement is vital for efficient numerical simulations. In the context of Isogeometric Analysis (IGA), hierarchical B-splines have gained prominence. The work applies the me…

math.NA2024

A magnetic oriented approach to the systematic coupling of field and circuit equations

Herbert Egger, Idoia Cortes Garcia, Vsevolod Shashkov +1

A novel strategy is proposed for the coupling of field and circuit equations when modeling power devices in the low-frequency regime. The resulting systems of differential-algebrai…

math.OC2024★ 4 cited

Spline-Based Rotor and Stator Optimization of a Permanent Magnet Synchronous Motor

Michael Wiesheu, Theodor Komann, Melina Merkel +3

This work features the optimization of a Permanent Magnet Synchronous Motor using 2D nonlinear simulations in an Isogeometric Analysis framework. The rotor and stator designs are o…

math.OC2023★ 1 cited

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…

math.NA2022★ 7 cited

How to Build the Optimal Magnet Assembly for Magnetocaloric Cooling: Structural Optimization with Isogeometric Analysis

Michael Wiesheu, Melina Merkel, Tim Sittig +5

In the search for more efficient and less environmentally harmful cooling technologies, the field of magnetocalorics is considered a promising alternative. To generate cooling span…