Fully predictive heat transfer coefficient modeling of an axial flux permanent magnet synchronous machine with geometrical parameters of the magnets

Rasekh, Alireza; Sergeant, Peter; Vierendeels, Jan

doi:10.1016/j.applthermaleng.2016.09.019

Cited by 23 publications

(21 citation statements)

References 20 publications

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“…It is worth mentioning that the same CFD simulations used in this work have been successfully employed to construct the correlations for the convective heat transfer modeling in the AFPMSM [22]. More importantly, the results were verified with the numerical simulations by Wrobel et al [21] as well as the experimental data by Howey et al [24].…”

Section: Robustness Of the Correlationssupporting

confidence: 67%

“…It was concluded that the proposed correlations are quite robust and accurate in the practical ranges of AFPMSMs. The proposed correlations in this paper along with those recently presented for the convective heat transfer coefficients [22] can be employed in a coupled thermal, electromagnetical and mechanical losses analysis to fully optimize the performance of the machine.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast to variations of Re and L, the total windage losses drop by 60%, when the magnet angle ratio increases from 0.7 up to 0.9. The influence of the magnet geometrical parameters on the cooling improvement in the machine has been discussed by the authors [22], and these effects counterbalance the windage power losses' variations. As a result, the compromise should be made between the cooling system and the windage power losses in the design process of the machine.…”

Section: Discussionmentioning

confidence: 99%

“…To achieve this, CFD simulations are performed for the practical ranges of geometrical parameters including the magnet thickness, the magnet angle, the air-gap distance as well as the rotational speed of the rotor. It should be mentioned that this numerical set-up has already been employed and succeeded in the convective heat transfer modeling of the AFPMSM [22]. Details of the proposed method and the results are discussed in the following sections.…”

Section: Introductionmentioning

confidence: 99%

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Development of Correlations for Windage Power Losses Modeling in an Axial Flux Permanent Magnet Synchronous Machine with Geometrical Features of the Magnets

2016

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Abstract:In this paper, a set of correlations for the windage power losses in a 4 kW axial flux permanent magnet synchronous machine (AFPMSM) is presented. In order to have an efficient machine, it is necessary to optimize the total electromagnetic and mechanical losses. Therefore, fast equations are needed to estimate the windage power losses of the machine. The geometry consists of an open rotor-stator with sixteen magnets at the periphery of the rotor with an annular opening in the entire disk. Air can flow in a channel being formed between the magnets and in a small gap region between the magnets and the stator surface. To construct the correlations, computational fluid dynamics (CFD) simulations through the frozen rotor (FR) method are performed at the practical ranges of the geometrical parameters, namely the gap size distance, the rotational speed of the rotor, the magnet thickness and the magnet angle. Thereafter, two categories of formulations are defined to make the windage losses dimensionless based on whether the losses are mainly due to the viscous forces or the pressure forces. At the end, the correlations can be achieved via curve fittings from the numerical data. The results reveal that the pressure forces are responsible for the windage losses for the side surfaces in the air-channel, whereas for the surfaces facing the stator surface in the gap, the viscous forces mainly contribute to the windage losses. Additionally, the results of the parametric study demonstrate that the overall windage losses in the machine escalate with an increase in either the rotational Reynolds number or the magnet thickness ratio. By contrast, the windage losses decrease once the magnet angle ratio enlarges. Moreover, it can be concluded that the proposed correlations are very useful tools in the design and optimizations of this type of electrical machine.

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Section: Robustness Of the Correlationssupporting

confidence: 67%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of Correlations for Windage Power Losses Modeling in an Axial Flux Permanent Magnet Synchronous Machine with Geometrical Features of the Magnets

2016

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“…In recent years, AFPMSM's multi-physics analysis has also made great progress. The authors of Reference [16][17][18] used the steady-state heat conduction equation method, the T-type thermal network model method, and the AFPMSM full prediction heat transfer coefficient model with magnet geometry parameters to perform thermal analysis on AFPMSM. The authors of Reference [19][20][21][22] conducted a detailed study of the AFPMSM's degaussing fault identification.…”

Section: Introductionmentioning

confidence: 99%

Study on the Electromagnetic Design and Analysis of Axial Flux Permanent Magnet Synchronous Motors for Electric Vehicles

et al. 2019

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In order to provide a complete solution for designing and analyzing the axial flux permanent magnet synchronous motor (AFPMSM) for electric vehicles, this paper covers the electromagnetic design and multi-physics analysis technology of AFPMSM in depth. Firstly, an electromagnetic evaluation method based on an analytical algorithm for efficient evaluation of AFPMSM was studied. The simulation results were compared with the 3D electromagnetic field simulation results to verify the correctness of the analytical algorithm. Secondly, the stator core was used to open the auxiliary slot to optimize the torque ripple of the AFPMSM, which reduced the torque ripple peak-to-peak value by 2%. From the perspective of ensuring the reliability, safety, and driving comfort of the traction motor in-vehicle working conditions, multi-physics analysis software was used to analyze and check the vibration and noise characteristics and temperature rise of several key operating conditions of the automotive AFPMSM. The analysis results showed that the motor designed in this paper can operate reliably.

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CFD analysis of turbulent convective heat transfer in a hydro-generator rotor-stator system

Dang

Pham

Labbé

et al. 2018

Applied Thermal Engineering

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Fully predictive heat transfer coefficient modeling of an axial flux permanent magnet synchronous machine with geometrical parameters of the magnets

Cited by 23 publications

References 20 publications

Development of Correlations for Windage Power Losses Modeling in an Axial Flux Permanent Magnet Synchronous Machine with Geometrical Features of the Magnets

Development of Correlations for Windage Power Losses Modeling in an Axial Flux Permanent Magnet Synchronous Machine with Geometrical Features of the Magnets

Study on the Electromagnetic Design and Analysis of Axial Flux Permanent Magnet Synchronous Motors for Electric Vehicles

CFD analysis of turbulent convective heat transfer in a hydro-generator rotor-stator system

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