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Simulation and Optimization for an SUV Cooling System Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Optimal Design for Cooling Fan Based on Multi-objectives with Blowing Rate and Noise

Authors : Ye Xiao, Wu Jingqi, Zhou Tianjun, Chao Rongjun, Li Yuan, Shu Lei, Kaku Chuyo

Published in: Proceedings of China SAE Congress 2021: Selected Papers

Publisher: Springer Nature Singapore

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Abstract

Based on sliding mesh technology, a three-dimensional numerical simulation model of cooling fan is established to investigate the aerodynamic and acoustic performances. The reliability and accuracy of the simulation model are verified by the experimental results. By analysing the aerodynamic performance of the prototype cooling fan, three improvement schemes are proposed in this study, include designing the blade with unequal spacing and adding some flow deflectors on the blades. The flow field and aerodynamic noise of the cooling fan between the prototype and optimized fans are compared by using the validated CFD method. The results show that the noise of the cooling fan can be significantly reduced under the premise of sufficient air flow. Finally, an optimized scheme is proposed for the studied cooling fan.

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Metadata
Title
Optimal Design for Cooling Fan Based on Multi-objectives with Blowing Rate and Noise
Authors
Ye Xiao
Wu Jingqi
Zhou Tianjun
Chao Rongjun
Li Yuan
Shu Lei
Kaku Chuyo
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of China SAE Congress 2021: Selected Papers

Print ISBN: 978-981-19-3841-2

Electronic ISBN: 978-981-19-3842-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-3842-9_4

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