LAPSE:2023.29057
Published Article
LAPSE:2023.29057
Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor
April 13, 2023
An efficient approach to the geometry optimization problem of a non-axisymmetric flow channel is discussed. The method combines geometrical transformation with a computational fluid dynamics solver, a multi-objective genetic algorithm, and a response surface. This approach, through geometrical modifications and simplifications allows transforming a non-axisymmetric problem into the axisymmetric one in some specific devices i.e., a scroll distributor or a volute. It results in a significant decrease in the problem size, as only the flow in a quasi-2D section of the channel is solved. A significantly broader design space is covered in a much shorter time than in the standard method, and the optimization of large flow problems is feasible with desktop-class computers. One computational point is obtained approximately eight times faster than in full geometry computations. The method was applied to a scroll distributor. For the case under analysis, it was possible to increase flow uniformity, eradicate separation zones, and increase the overall efficiency, which was followed by energy savings of 16% for the scroll. The results indicate that this method can be successfully applied for the optimization of similar problems.
Keywords
compressor, Computational Fluid Dynamics, numerical problem downsizing, Optimization, parametrization, response surface, scroll
Suggested Citation
Obidowski D, Stajuda M, Sobczak K. Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor. (2023). LAPSE:2023.29057
Author Affiliations
Obidowski D: Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland [ORCID]
Stajuda M: Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland
Sobczak K: Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland [ORCID]
Journal Name
Energies
Volume
14
Issue
2
Article Number
en14020377
Year
2021
Publication Date
2021-01-12
Published Version
ISSN
1996-1073
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PII: en14020377, Publication Type: Journal Article
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LAPSE:2023.29057
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doi:10.3390/en14020377
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Apr 13, 2023
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