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Transpiration cooling film effectiveness correlations for turbine blade applications

Abstract:
High porosity film cooling features have demonstrated exceptionally high film cooling performance. However, conventional methods to predict film cooling effectiveness have proved inaccurate for this new class of film. The inaccuracy is particularly true on the suction surface of the aerofoil where film effectiveness significantly exceeds predictions made using conventional correlations. RANS CFD simulations are equally limited beyond the immediate film hole region and generally over-predict the rate of film decay. A novel approach to correlating these films is attempted in this paper using the similarities between tangential slot cooling distributions and existing experimental film data of porous cooling features. Based on this similarity, a correlation is developed by combining superposition with existing tangential slot injection models. The success of this model reinforces both the premise that tangential slots and transpiration cooling share similar film distributions, as well as the hypothesis that the high porosity geometries proposed successfully mimic transpiration cooling.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.29008/ETC2023-295

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Catherine's College
Role:
Author
ORCID:
0000-0001-8114-5233


Publisher:
European Turbomachinery Society
Host title:
Proceedings of 15th European Conference on Turbomachinery Fluid dynamics & Thermodynamics
Article number:
ETC2023-295
Publication date:
2023-11-29
Acceptance date:
2023-02-19
Event title:
15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023
Event location:
Budapest, Hungary
Event website:
https://www.euroturbo.eu/publications/conference-proceedings-repository/etc15-2023/
Event start date:
2023-04-24
Event end date:
2023-04-28
DOI:
ISSN:
2410-4833


Language:
English
Keywords:
Pubs id:
1494038
Local pid:
pubs:1494038
Deposit date:
2026-03-23
ARK identifier:

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