Supporting the Laminated Ferromagnetic Pole Pieces in a Magnetic Gear: A Structure Behaviour Analysis from a Multibody Model

Desvaux, Melaine; Multon, Bernard; Ahmed, Hamid Ben; Sire, Stéphane

doi:10.1007/978-3-319-67567-1_8

Cited by 7 publications

(7 citation statements)

References 9 publications

(16 reference statements)

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“…Therefore, for the purpose of this study, the position distributions have also been assumed to be normally distributed with a three-sigma value of 0.4 mm for the radial error and 0.4 deg for the tangential error. These values are similar to the positional error reported in [31], [32].…”

Section: Monte Carlo Analysissupporting

confidence: 89%

A Monte Carlo Analysis of the Effects of Geometric Deviations on the Performance of Magnetic Gears

Leontaritis

Nassehi

Yon

2020

IEEE Trans. on Ind. Applicat.

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Magnetic gears offer several advantages over mechanical transmissions. However, across a broad range of research studies, their practical performance has not matched design predictions. Even with extensive 3D Finite Element Analysis (FEA), large discrepancies of 4% to 10% can existusually attributed to manufacturing error. Research studies typically assume ideal realization of the prototype geometry while employing basic, poorly characterized manufacturing processes in the hardware development. Geometric deviations due to manufacturing error are difficult to predict and inherently random. Therefore, their effect needs to be assessed through a statistical approach, which requires a rapid but accurate model of the gear. This paper assesses the effect of geometric error on the performance of a magnetic gear using a new computationally efficient asymmetric analytical model to conduct a Monte-Carlo simulation. The analytical technique is validated by comparing the results with a finite element solution and very close agreement is observed. By repeatedly analyzing the gear, with the position and size of each pole piece independently varied each time, a resultant distribution of performance can be derived. It is also shown that, for this case study, the distribution derived using the analytical model can be scaled to match the equivalent, but much more computationally onerous, FEA based solution. A predicted statistical distribution of a gear's performance, based on a set of manufacturing tolerances, would provide designers with a more realistic estimate of a gear's capability than an idealized analysis. This will be increasingly important as magnetic gears become more widely adopted.

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Section: Monte Carlo Analysissupporting

confidence: 89%

A Monte Carlo Analysis of the Effects of Geometric Deviations on the Performance of Magnetic Gears

Leontaritis

Nassehi

Yon

2020

IEEE Trans. on Ind. Applicat.

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“…Due to the linear magnetic behavior of the materials in the analytical model, a maximum induction value is tolerated in the ferromagnetic parts, as indicated in (27). On the other hand, a multibody mechanical analytical model of pole piece rings serves to evaluate the radial displacement , and normal stress , of the various pole piece support bars ( < < .…”

Section: Optimization Constraintsmentioning

confidence: 99%

“…On the other hand, a multibody mechanical analytical model of pole piece rings serves to evaluate the radial displacement , and normal stress , of the various pole piece support bars ( < < . These bars are made of a non-magnetic material and constitute a cage, thus making it possible to ensure the mechanical maintenance of pole pieces [27]. The yield of this material is: = .…”

Section: Optimization Constraintsmentioning

confidence: 99%

Development of a Hybrid Analytical Model for a Fast Computation of Magnetic Losses and Optimization of Coaxial Magnetic Gears

Desvaux

Sire

Hlioui³

et al. 2019

IEEE Trans. Energy Convers.

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This article focuses on a 2D analytical model for a fast computation of magnetic losses due to eddy currents in the permanent magnets as well as iron losses in the ferromagnetic parts within coaxial magnetic gears. The magnetic field distribution is computed in yokes and permanent magnets by solving both Maxwell's equations, whereas for pole pieces the magnetic field is computed by coupling the previous analytical model with a reluctance network model. Both the eddy current losses and iron losses are determined from this hybrid analytical model. The iron loss model takes into account the temporal and spatial variations of flux density. The eddy current loss model takes into account the magnet splitting. Results of this magnetostatic eddy current loss model are then compared to the results obtained with a 2D magnetodynamic finite element model. A verification of validity limits is also proposed. The final function of this analytical model is to ensure integration into a set of models in the aim of a global mechatronic optimization of magnetic gears, for their insertion into a multi-megawatt wind turbines. A preliminary bi-objective, mass-efficiency optimization protocol is subsequently proposed along with an analysis of the computation time reduction via the presented models.

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“…It is possible to consider that a support bar is equivalent to a fixed-end beam and that the end bells have a negligible deformation compared to support bars. Considering that the magnetic load and the weights are applied in the middle of the pole pieces, the pole pieces ring parametrization and modeling is described in Figure 5(a) and the multibody model described in Figure 5(b) is proposed (Desvaux et al, 2017a).…”

Section: Multibody Modelmentioning

confidence: 99%

“…From equilibriums proposed in Desvaux et al (2017a), the displacements of the support bars generated by the magnetic load and weight can be determined and the reactions at the end of the support bars too. It is then possible to show the Comparison between the magnetic loads obtained from the 2D finite element model with the support bar geometry and from the analytical model without considering support bar geometry for the magnetic gear: (a) radial load and (b) tangential load for the magnetic gear (Desvaux et al, 2017c).…”

Section: Displacement Evaluationmentioning

confidence: 99%

Magneto-mechanical analysis of magnetic gear pole pieces ring from analytical models for wind turbine applications

et al. 2018

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This article deals with the structural behavior of a multi-bar system which maintains pole pieces in a concentric magnetic gear. Simplified analytic magnetic and mechanical models of the system are proposed in order to be integrated in a multi-criteria global optimization for the sizing of a magnetic gear in wind power applications. For this purpose, the reduction of the computation time is taken into account. The geometry of the support bar subsystem is defined and a Q bar structure is proposed. The magnetic study is based on Maxwell's equations and subdomain method in order to determine variable radial and tangential magnetic loads. The mechanical study is based on a multibody model with different bars stiffnesses which are determined from a one-dimensional model. Variable radial and tangential magneto-mechanical pole pieces loads (magnetic load and weight) are also considered. An example of a magnetic gear with 172 pole pieces (i.e. 6-MW wind turbine) is proposed to analyze the mechanical behavior and also the computation time.

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Supporting the Laminated Ferromagnetic Pole Pieces in a Magnetic Gear: A Structure Behaviour Analysis from a Multibody Model

Cited by 7 publications

References 9 publications

A Monte Carlo Analysis of the Effects of Geometric Deviations on the Performance of Magnetic Gears

A Monte Carlo Analysis of the Effects of Geometric Deviations on the Performance of Magnetic Gears

Development of a Hybrid Analytical Model for a Fast Computation of Magnetic Losses and Optimization of Coaxial Magnetic Gears

Magneto-mechanical analysis of magnetic gear pole pieces ring from analytical models for wind turbine applications

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