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Lookup NU author(s): Dr Mehmet KulanORCiD, Dr Rafal Wrobel
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2018.
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In order to improve accuracy and reduce model setting up and solving time in the thermal analysis of electrical machines, the multi-material winding region is frequently homogenized. A typical electrical winding is an amalgam of the conductor material, electrical insulation, impregnation and imperfections like air cavities, which depend on the impregnation material and technique, among other factors. This makes the winding assembly one of the most challenging region in thermal design of electrical machines. This paper presents an analytical method for estimating the equivalent thermal conductivity of impregnated windings formed with round profile conductors. The existing analytical methods are limited to windings with conductor fill factor up to 40%. However, the ongoing development in fabricating windings enabled winding arrangements with much higher conductor fill factors, up to 85%. Such high conductor fill is very desirable as it reduces the winding DC power loss while improving the thermal path for the generated heat. Thus, providing a reliable analytical approach for the estimation of the equivalent thermal conductivity, applicable across a wide range of conductor fill factors, is very desirable. This paper presents a detailed description of the proposed approach, supplemented with measured data from tests on hardware winding material samples (WSs). An illustration of a practical use of windings with high conductor fill factors is also provided, highlighting the benefits of such configuration.
Author(s): Ayat S, Liu H, Kulan M, Wrobel R
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Year of Conference: 2018
Pages: 6529-6536
Print publication date: 06/12/2018
Online publication date: 06/12/2018
Acceptance date: 31/08/2018
Date deposited: 02/10/2018
ISSN: 2329-3748
Publisher: IEEE
URL: https://doi.org/10.1109/ECCE.2018.8557534
DOI: 10.1109/ECCE.2018.8557534
Library holdings: Search Newcastle University Library for this item
ISBN: 9781479973125