Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models

Liu, Chuan, Gerada, David, Xu, Zeyuan, Chong, Yew Chuan, Michon, Melanie, Goss, James, Li, Jing, Gerada, Chris and Zhang, He (2020) Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models. IEEE Transactions on Transportation Electrification . p. 1. ISSN 2372-2088

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Hairpin windings and spray cooling are becoming an increasingly popular combination in the field of high-performance electrical machine design. Machines adopting hairpin windings can achieve higher torque and power densities while enabling them to be manufactured automatically on a large scale to meet the rapid market growth of electric transport. Spray cooling is an effective way for high heat flux removal, which has shown great potentials in electrical machine applications. Although spray cooling has been studied for decades in different engineering applications, the focus had been on investigating its performance on regular surfaces using low-viscosity liquids, such as water. Additionally, many existing models for spray cooling heat transfer were built on spray parameters that are difficult to obtain without specialist equipment. Thus, most results from previous studies are difficult to be interpreted and directly applied to electrical machine applications. Practical and economical approaches for estimating the heat transfer coefficients of spray cooling on hairpin windings are needed. This paper proposes and validates an experimental approach based on reduced-parameter models which can be applied to predict the heat transfer coefficient of spray cooling setups on hairpin windings.

Item Type: Article
Keywords: cooling; spraying; electric machines
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Electrical and Electronic Engineering
Identification Number:
Depositing User: Wu, Cocoa
Date Deposited: 04 Nov 2020 00:43
Last Modified: 04 Nov 2020 00:43

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