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Combined scalar tracking, computational fluid dynamics, and multi-objective genetic algorithm method to accelerate optimization of film cooling systems

Abstract:

This paper presents a method to significantly accelerate optimization of film cooling systems. The method combines high-fidelity computational fluid dynamics with scalar tracking implemented, a proxy model (linear superposition model) initialized with the computational fluid dynamics solution, and a multi-objective evolutionary algorithm approach. The proposed method is structured as follows: the computational fluid dynamics solution is used to predict the (generally complex) flow domain for ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1177/0957650920914801

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-8977-9644
Publisher:
SAGE Publications
Journal:
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy More from this journal
Volume:
235
Issue:
4
Pages:
671-686
Publication date:
2020-03-30
Acceptance date:
2020-02-28
DOI:
EISSN:
2041-2967
ISSN:
0957-6509
Language:
English
Keywords:
Pubs id:
1100790
Local pid:
pubs:1100790
Deposit date:
2020-06-04

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