activity
20172019
most citedIsogeometric Analysis and Harmonic Stator-Rotor Coupling for Simulating Electric Machines

25 citations · 55 across the 10 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

math.OC2017

Robust Optimization Approaches for the Design of an Electric Machine

Zeger Bontinck, Oliver Lass, Sebastian Schöps +2

In this paper two formulations for the robust optimization of the size of the permanent magnet in a synchronous machine are discussed. The optimization is constrained by a partial…

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…

math.NA2017★ 25 cited

Isogeometric Analysis and Harmonic Stator-Rotor Coupling for Simulating Electric Machines

Zeger Bontinck, Jacopo Corno, Sebastian Schöps +1

This work proposes Isogeometric Analysis as an alternative to classical finite elements for simulating electric machines. Through the spline-based Isogeometric discretization it is…

cs.CE2017

Modelling of a Permanent Magnet Synchronous Machine Using Isogeometric Analysis

Zeger Bontinck, Jacopo Corno, Prithvi Bhat +2

Isogeometric analysis (IGA) is used to simulate a permanent magnet synchronous machine. IGA uses non-uniform rational B-splines to parametrise the domain and to approximate the sol…

cs.CE2017★ 1 cited

Multilevel Monte Carlo Simulation of the Eddy Current Problem With Random Parameters

Armin Galetzka, Zeger Bontinck, Ulrich Römer +1

The multilevel Monte Carlo method is applied to an academic example in the field of electromagnetism. The method exhibits a reduced variance by assigning the samples to multiple mo…

math.NA2017

Model Order Reduction for Rotating Electrical Machines

Zeger Bontinck, Oliver Lass, Sebastian Schöps +1

The simulation of electric rotating machines is both computationally expensive and memory intensive. To overcome these costs, model order reduction techniques can be applied. The f…