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

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 me...

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Main Authors: Liu, Chuan, Gerada, David, Xu, Zeyuan, Chong, Yew Chuan, Michon, Melanie, Goss, James, Li, Jing, Gerada, Chris, Zhang, He
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Online Access:https://eprints.nottingham.ac.uk/63726/
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author Liu, Chuan
Gerada, David
Xu, Zeyuan
Chong, Yew Chuan
Michon, Melanie
Goss, James
Li, Jing
Gerada, Chris
Zhang, He
author_facet Liu, Chuan
Gerada, David
Xu, Zeyuan
Chong, Yew Chuan
Michon, Melanie
Goss, James
Li, Jing
Gerada, Chris
Zhang, He
author_sort Liu, Chuan
building Nottingham Research Data Repository
collection Online Access
description 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.
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publisher Institute of Electrical and Electronics Engineers Inc.
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spelling nottingham-637262020-11-04T00:43:29Z https://eprints.nottingham.ac.uk/63726/ 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 Zhang, He 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. Institute of Electrical and Electronics Engineers Inc. 2020-10-15 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/63726/1/Estimation%20of%20Oil%20Spray%20Cooling%20Heat%20Transfer%20Coefficients%20on%20Hairpin%20Windings%20with%20Reduced-parameter%20Models.pdf 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 cooling; spraying; electric machines http://dx.doi.org/10.1109/TTE.2020.3031373 doi:10.1109/TTE.2020.3031373 doi:10.1109/TTE.2020.3031373
spellingShingle cooling; spraying; electric machines
Liu, Chuan
Gerada, David
Xu, Zeyuan
Chong, Yew Chuan
Michon, Melanie
Goss, James
Li, Jing
Gerada, Chris
Zhang, He
Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
title Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
title_full Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
title_fullStr Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
title_full_unstemmed Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
title_short Estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
title_sort estimation of oil spray cooling heat transfer coefficients on hairpin windings with reduced-parameter models
topic cooling; spraying; electric machines
url https://eprints.nottingham.ac.uk/63726/
https://eprints.nottingham.ac.uk/63726/
https://eprints.nottingham.ac.uk/63726/