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This paper reviews recent advances in optimisation of electromagnetic problems. CAD assisted optimal design often necessitates repetitive usage of numerically intensive field computation where cost-effective approaches are required. Modern algorithms increasingly rely on surrogate modelling, kriging-assisted methods, pareto-optimality and design sensitivity.
One of the main advantages of meshless methods is their flexibility in allowing nodes to move or be moved from one place to another. In this paper the authors present an implementation of the meshless local Petrov-Galerkin method to model a 2D electromagnetic problem with a moving structure. The method does not require any algorithms to connect the moving domain to the stationary one, as in the finite...
A 3D magnetostatic formulation in terms of the magnetic scalar potential is used to simulate a long dipole magnet. The translatory symmetric part of the model is discretised by a combination of finite elements and Legendre polynomials, which results in a substantial reduction of the model size.
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