This paper aims to provide a smart design to improve the efficiency of surface permanent
magnet synchronous motor. An efficient design strategy involving penalty approaches are …

We introduce adaptive sampling methods for stochastic programs with deterministic
constraints. First, we propose and analyze a variant of the stochastic projected gradient …

This paper proposes the traction motor analysis and weight reduction for an electric golf car
with 1+ 5 passengers, because the power to weight ratio is the critical parameter for the …

We consider the problem of optimizing the design of a heat sink used for cooling an
insulated gate bipolar transistor (IGBT) power module. The thermal behavior of the heat sink …

The present work addresses the problems of high-dimensional approximation and
uncertainty quantification in the context of electromagnetic field simulations. In the presence …

This work suggests to optimize the geometry of a quadrupole magnet by means of a genetic
algorithm adapted to solve multi-objective optimization problems. To that end, a non …

In this paper, we propose a certified reduced basis (RB) method for quasilinear parabolic
problems with strongly monotone spatial differential operator. We provide a residual-based …

This work proposes a data-driven surrogate modeling framework for cost-effectively inferring
the torque of a permanent magnet synchronous machine under geometric design variations …

Global optimization is used in many practical and scientific problems. For this reason,
various computational techniques have been developed. Particularly important are the …

In this paper, we propose a certified reduced basis (RB) method for quasilinear elliptic
problems together with its application to nonlinear magnetostatics equations, where the later …