Detail publikace
Analysis of Heat Transfer in the Air Gap of Electrical Machines Using Empirical Equations and Computational Fluid Dynamics
SÚKENÍK, J. TOMAN, M.
Originální název
Analysis of Heat Transfer in the Air Gap of Electrical Machines Using Empirical Equations and Computational Fluid Dynamics
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with the thermal analysis of the air gap using empirical equations and computational fluid dynamics (CFD). First, empirical equations are introduced to calculate the air gap heat transfer coefficients. The thermal air gap model is shown. Next, numerical modelling is discussed, namely the shear stress transport k-omega model. Afterwards, parametric air gap models are presented. The air gap heat transfer coefficients calculated from empirical equations are compared with the air gap heat transfer coefficients from CFD. Next, a comparison between the thermal resistances calculated using the empirical equations and between thermal resistances of CFD is shown. Finally, velocity air gap profiles with air gap temperature contours are presented.
Klíčová slova
air gap, rotating electrical machine, computational fluid dynamics simulation, shear stress transport k-omega model, thermal model, Taylor-Couette flow
Autoři
SÚKENÍK, J.; TOMAN, M.
Vydáno
23. 4. 2024
Nakladatel
Brno University of Technology, Faculty of Electrical Engineering and Communication
Místo
Brno
ISBN
978-80-214-6231-1
Kniha
Proceedings I of the 30th Conference STUDENT EEICT 2024: General papers
Edice
1
Strany od
353
Strany do
357
Strany počet
5
URL
BibTex
@inproceedings{BUT191248,
author="Jakub {Súkeník} and Marek {Toman}",
title="Analysis of Heat Transfer in the Air Gap of Electrical Machines Using Empirical Equations and Computational Fluid Dynamics",
booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024: General papers",
year="2024",
series="1",
pages="353--357",
publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
address="Brno",
isbn="978-80-214-6231-1",
url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf"
}