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A 3D dynamic lumped parameter thermal network of air-cooled YASA axial flux permanent magnet synchronous machine

(2018) ENERGIES. 11(4).
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Abstract
To find the temperature rise for high power density yokeless and segmented armature (YASA) axial flux permanent magnet synchronous (AFPMSM) machines quickly and accurately, a 3D lumped parameter thermal model is developed and validated experimentally and by finite element (FE) simulations on a 4 kW YASA machine. Additionally, to get insight in the thermal transient response of the machine, the model accounts for the thermal capacitance of different machine components. The model considers the stator, bearing, and windage losses, as well as eddy current losses in the magnets on the rotors. The new contribution of this work is that the thermal model takes cooling via air channels between the magnets on the rotor discs into account. The model is parametrized with respect to the permanent magnet (PM) angle ratio, the PM thickness ratio, the air gap length, and the rotor speed. The effect of the channels is incorporated via convection equations based on many computational fluid dynamics (CFD) computations. The model accuracy is validated at different values of parameters by FE simulations in both transient and steady state. The model takes less than 1 s to solve for the temperature distribution
Keywords
YASA, Thermal modeling, LPTN, FEM

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MLA
Mohamed, Abdalla Hussein Rashad, et al. “A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine.” ENERGIES, vol. 11, no. 4, 2018.
APA
Mohamed, A. H. R., Hemeida, A., Rasekh, A., Vansompel, H., Arkkio, A., & Sergeant, P. (2018). A 3D dynamic lumped parameter thermal network of air-cooled YASA axial flux permanent magnet synchronous machine. ENERGIES, 11(4).
Chicago author-date
Mohamed, Abdalla Hussein Rashad, Ahmed Hemeida, Alireza Rasekh, Hendrik Vansompel, Antero Arkkio, and Peter Sergeant. 2018. “A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine.” ENERGIES 11 (4).
Chicago author-date (all authors)
Mohamed, Abdalla Hussein Rashad, Ahmed Hemeida, Alireza Rasekh, Hendrik Vansompel, Antero Arkkio, and Peter Sergeant. 2018. “A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine.” ENERGIES 11 (4).
Vancouver
1.
Mohamed AHR, Hemeida A, Rasekh A, Vansompel H, Arkkio A, Sergeant P. A 3D dynamic lumped parameter thermal network of air-cooled YASA axial flux permanent magnet synchronous machine. ENERGIES. 2018;11(4).
IEEE
[1]
A. H. R. Mohamed, A. Hemeida, A. Rasekh, H. Vansompel, A. Arkkio, and P. Sergeant, “A 3D dynamic lumped parameter thermal network of air-cooled YASA axial flux permanent magnet synchronous machine,” ENERGIES, vol. 11, no. 4, 2018.
@article{8571220,
  abstract     = {To find the temperature rise for high power density yokeless and segmented armature (YASA) axial flux permanent magnet synchronous (AFPMSM) machines quickly and accurately, a 3D lumped parameter thermal model is developed and validated experimentally and by finite element (FE) simulations on a 4 kW YASA machine. Additionally, to get insight in the thermal transient response of the machine, the model accounts for the thermal capacitance of different machine components. The model considers the stator, bearing, and windage losses, as well as eddy current losses in the magnets on the rotors. The new contribution of this work is that the thermal model takes cooling via air channels between the magnets on the rotor discs into account. The model is parametrized with respect to the permanent magnet (PM) angle ratio, the PM thickness ratio, the air gap length, and the rotor speed. The effect of the channels is incorporated via convection equations based on many computational fluid dynamics (CFD) computations. The model accuracy is validated at different values of parameters by FE simulations in both transient and steady state. The model takes less than 1 s to solve for the temperature distribution},
  articleno    = {774},
  author       = {Mohamed, Abdalla Hussein Rashad and Hemeida, Ahmed and Rasekh, Alireza and Vansompel, Hendrik and Arkkio, Antero and Sergeant, Peter},
  issn         = {1996-1073 },
  journal      = {ENERGIES},
  keywords     = {YASA,Thermal modeling,LPTN,FEM},
  language     = {eng},
  number       = {4},
  pages        = {16},
  title        = {A 3D dynamic lumped parameter thermal network of air-cooled YASA axial flux permanent magnet synchronous machine},
  url          = {http://dx.doi.org/10.3390/en11040774},
  volume       = {11},
  year         = {2018},
}

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