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

A novel algorithmic discussion of the methodological and numerical differences of
competing parametric model reduction techniques for nonlinear problems is presented. First …

This work addresses the magnetoquasistatic approximation of Maxwell's equations with
uncertainties in material data, shape and current sources, originating, eg, from …

This study discusses an application of the stochastic collocation method for the solution of a
nonlinear magnetoquasistatic interface problem that is constrained by a partial differential …

This paper addresses uncertainty quantification of electromagnetic devices determined by
the eddy current problem. The multilevel Monte Carlo (MLMC) method is used for the …

Constitutive equations are required in electromagnetic field simulations to model a material
response to applied fields or forces. Series measurements of iron specimens have shown …

In this paper a methodology is presented to model uncertainties in the hysteresis law of
ferromagnetic materials. The uncertainties may arise, for example, from manufacturing …

Purpose The purpose of this paper is to present a computationally efficient approach for the
stochastic modeling of an inhomogeneous reluctivity of magnetic materials. These materials …

Uncertainty quantification plays an important role in biomedical engineering as
measurement data are often unavailable and literature data show a wide variability. Using …

Constitutive equations are used in electromagnetic field simulations to model a material
response to applied fields or forces. The $ B (H) $ characteristic of iron laminations depends …