@inproceedings{6a6be7f8058b4a5aa1eaa57920e77db4,
title = "CFD optimisation of the thermal design for a vented electrical machine",
abstract = "Optimisation algorithms hold the potential to dramatically reduce computational time whilst ensuring the optimal solution is found. Within this paper, the feasibility of using this novel approach on complex 3-D Computational Fluid Dynamics models, which are required for thermal management of electrical machines, is proven. A model of a simplified generator is parameterised with the aim of minimising the peak stator temperature by varying the axial location of a single stator vent. By generating a single parameterised case, and automating the optimisation, the simulations are run independently after initial setup, hence reducing both computational and user time. Locating a vent in the optimal position reduced the peak stator temperature by 9.4 K. A sensitivity study linking peak temperature to vent position has been carried out developing a polynomial relationship between them for the aforementioned geometry. Mass flow and pressure distribution in the vent have been analysed in detail.",
keywords = "Alternator, CFD, Computational Fluid Dynamics, Cooling, Electrical Machine, Optimization, Stator Vent, Synchronous Generator, Thermal Management",
author = "Kevin Bersch and Connor, {Peter H.} and Eastwick, {Carol N.} and Michael Galea and Rob Rolston",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017 ; Conference date: 20-04-2017 Through 21-04-2017",
year = "2017",
month = jun,
day = "13",
doi = "10.1109/WEMDCD.2017.7947721",
language = "English",
series = "Proceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "39--44",
booktitle = "Proceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017",
address = "United States",
}