Publication detail
Analysis of Heat Transfer in the Air Gap of Electrical Machines Using Empirical Equations and Computational Fluid Dynamics
SÚKENÍK, J. TOMAN, M.
Original Title
Analysis of Heat Transfer in the Air Gap of Electrical Machines Using Empirical Equations and Computational Fluid Dynamics
Type
conference paper
Language
English
Original Abstract
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.
Keywords
air gap, rotating electrical machine, computational fluid dynamics simulation, shear stress transport k-omega model, thermal model, Taylor-Couette flow
Authors
SÚKENÍK, J.; TOMAN, M.
Released
23. 4. 2024
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-6231-1
Book
Proceedings I of the 30th Conference STUDENT EEICT 2024: General papers
Edition
1
Pages from
353
Pages to
357
Pages count
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"
}