CFD optimisation of the thermal design for a vented electrical machine
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 electri...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Online Access: | https://eprints.nottingham.ac.uk/43684/ |
| _version_ | 1848796743831912448 |
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| author | Bersch, Kevin Connor, Peter H. Eastwick, Carol N. Galea, Michael Rolston, Rob |
| author_facet | Bersch, Kevin Connor, Peter H. Eastwick, Carol N. Galea, Michael Rolston, Rob |
| author_sort | Bersch, Kevin |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:52:50Z |
| format | Conference or Workshop Item |
| id | nottingham-43684 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:52:50Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-436842020-05-04T18:42:46Z https://eprints.nottingham.ac.uk/43684/ CFD optimisation of the thermal design for a vented electrical machine Bersch, Kevin Connor, Peter H. Eastwick, Carol N. Galea, Michael Rolston, Rob 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. 2017-04-21 Conference or Workshop Item PeerReviewed Bersch, Kevin, Connor, Peter H., Eastwick, Carol N., Galea, Michael and Rolston, Rob (2017) CFD optimisation of the thermal design for a vented electrical machine. In: 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), 20-21 April, Nottingham, United Kingdom. Alternator CFD Computational fluid dynamics Cooling Electrical machine Stator vent Synchronous generator Optimization Thermal management http://ieeexplore.ieee.org/document/7947721/ 10.1109/WEMDCD.2017.7947721 10.1109/WEMDCD.2017.7947721 10.1109/WEMDCD.2017.7947721 |
| spellingShingle | Alternator CFD Computational fluid dynamics Cooling Electrical machine Stator vent Synchronous generator Optimization Thermal management Bersch, Kevin Connor, Peter H. Eastwick, Carol N. Galea, Michael Rolston, Rob CFD optimisation of the thermal design for a vented electrical machine |
| title | CFD optimisation of the thermal design for a vented electrical machine |
| title_full | CFD optimisation of the thermal design for a vented electrical machine |
| title_fullStr | CFD optimisation of the thermal design for a vented electrical machine |
| title_full_unstemmed | CFD optimisation of the thermal design for a vented electrical machine |
| title_short | CFD optimisation of the thermal design for a vented electrical machine |
| title_sort | cfd optimisation of the thermal design for a vented electrical machine |
| topic | Alternator CFD Computational fluid dynamics Cooling Electrical machine Stator vent Synchronous generator Optimization Thermal management |
| url | https://eprints.nottingham.ac.uk/43684/ https://eprints.nottingham.ac.uk/43684/ https://eprints.nottingham.ac.uk/43684/ |