52 citations · 63 across the 14 of their papers we have counts for
18 papers · 1 filter
Electromagnetic Quasistatic Field Formulations of Darwin Type
Markus Clemens, Marvin-Lucas Henkel, Fotios Kasolis +3
Electromagnetic quasistatic (EMQS) fields, where radiation effects are neglected, while Ohmic losses and electric and magnetic field energies are considered, can be modeled using D…
Magnetic Field Simulations Using Explicit Time Integration With Higher Order Schemes
Bernhard Kähne, Markus Clemens, Sebastian Schöps
A transient magneto-quasistatic vector potential formulation involving nonlinear material is spatially discretized using the finite element method of first and second polynomial or…
A Blackbox Yield Estimation Workflow with Gaussian Process Regression Applied to the Design of Electromagnetic Devices
Mona Fuhrländer, Sebastian Schöps
In this paper an efficient and reliable method for stochastic yield estimation is presented. Since one main challenge of uncertainty quantification is the computational feasibility…
Yield Optimization based on Adaptive Newton-Monte Carlo and Polynomial Surrogates
Mona Fuhrländer, Niklas Georg, Ulrich Römer +1
In this paper we present an algorithm for yield estimation and optimization exploiting Hessian based optimization methods, an adaptive Monte Carlo (MC) strategy, polynomial surroga…
Robust Optimization of a Permanent Magnet Synchronous Machine Considering Uncertain Driving Cycles
L. A. M. D'Angelo, Z. Bontinck, S. Schöps +1
This work focuses on the robust optimization of a permanent magnet (PM) synchronous machine while considering a driving cycle. The robustification is obtained by considering uncert…
Uncertainty Modeling and Analysis of the European X-ray Free Electron Laser Cavities Manufacturing Process
Jacopo Corno, Niklas Georg, Shahnam Gorgi Zadeh +9
This paper reports on comprehensive efforts on uncertainty quantification and global sensitivity analysis for accelerator cavity design. As a case study object the TESLA shaped sup…