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Thermal management of a permanent magnet motor for an directly coupled pump

Xu, Z.; Al-Timimy, A.; Degano, Michele; Giangrande, Paolo; Lo Calzo, Giovanni; Zhang, He; Galea, Michael; Gerada, C.

Thermal management of a permanent magnet motor for an directly coupled pump Thumbnail


Authors

Z. Xu

A. Al-Timimy

Paolo Giangrande

Giovanni Lo Calzo

He Zhang

Michael Galea



Abstract

A high speed permanent magnet motor is designed for a flooded industrial pump. Oil in the pump is used to cool the motor. Due to the limitation of space and mass requirement for the application, thermal management is one of the main challenges. This paper describes the thermal management optimization process and design of the machine. Different cooling strategies are applied to cool the machine and Computational Fluid Dynamics (CFD) is used to predict and improve the cooling performance. The machine has been designed and is currently being manufactured.

Citation

Xu, Z., Al-Timimy, A., Degano, M., Giangrande, P., Lo Calzo, G., Zhang, H., …Gerada, C. (2016). Thermal management of a permanent magnet motor for an directly coupled pump.

Conference Name International Conference on Electrical Machines (ICEM 2016)
End Date Sep 7, 2016
Acceptance Date Jun 14, 2016
Publication Date Sep 7, 2016
Deposit Date Mar 7, 2017
Publicly Available Date Mar 7, 2017
Peer Reviewed Peer Reviewed
Keywords Thermal management, CFD, Lumped parameter, Permanent magnetic, Aerospace, Mechanical design
Public URL https://nottingham-repository.worktribe.com/output/818847
Publisher URL http://ieeexplore.ieee.org/document/7732909/
Related Public URLs http://www.icem.cc/2016/
Additional Information © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contract Date Mar 7, 2017

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