Comparison of direct and indirectly liquid-cooled coreless linear actuators with multi-layer coils

Beek, T. A. van; Jansen, J.W.; Gysen, B.L.J.; Lomonova, E.A.

doi:10.23919/ldia.2017.8097218

Cited by 2 publications

(1 citation statement)

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“…Electrical machine design often aims at achieving the highest power density, as it leads to weight and cost savings. High power density can be reached by different means, such as using efficient cooling methods [1] or by considering permanent magnets and slotted iron structures, where the latter benefits from a high magnetic permeability, and hence, a higher magnetic field within the same volume. However, the BH-characteristics of soft-magnetic materials exhibit strong nonlinearity when exposed to high field strengths which are necessary to reach increased power density.…”

Section: Introductionmentioning

confidence: 99%

High-Order Methods Applied to Nonlinear Magnetostatic Problems

Friedrich

Curti

Gysen

et al. 2019

MCA

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This paper presents a comparison between two high-order modeling methods for solving magnetostatic problems under magnetic saturation, focused on the extraction of machine parameters. Two formulations are compared, the first is based on the Newton-Raphson approach, and the second successively iterates the local remanent magnetization and the incremental reluctivity of the nonlinear soft-magnetic material. The latter approach is more robust than the Newton-Raphson method, and uncovers useful properties for the fast and accurate calculation of incremental inductance. A novel estimate for the incremental inductance relying on a single additional computation is proposed to avoid multiple nonlinear simulations which are traditionally operated with finite difference linearization or spline interpolation techniques. Fast convergence and high accuracy of the presented methods are demonstrated for the force calculation, which demonstrates their applicability for the design and analysis of electromagnetic devices.

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Section: Introductionmentioning

confidence: 99%