Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades

After the emergence of turbo-machines in the industrial field, researchers have always been seeking to increase their efficiency. Centrifugal compressors are widely used in industries, hence understanding their flow and attempting to increase their efficiency has always been a focus. In recent years...

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Main Authors: Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025003913
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author Mohammadjavad Tasharrofi
Mojtaba Heidarian Shahri
Ali Madadi
author_facet Mohammadjavad Tasharrofi
Mojtaba Heidarian Shahri
Ali Madadi
author_sort Mohammadjavad Tasharrofi
collection DOAJ
description After the emergence of turbo-machines in the industrial field, researchers have always been seeking to increase their efficiency. Centrifugal compressors are widely used in industries, hence understanding their flow and attempting to increase their efficiency has always been a focus. In recent years, using two splitter blades alongside the main blades has been one of the novel methods used to improve the performance of centrifugal compressors. In this study, after validating the NASA-CC3 centrifugal compressor, a centrifugal compressor design with two splitter blades was carried out. Then, by defining eight variables, an attempt was made to optimize the design. The genetic algorithm was used as the optimization algorithm in this process. Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. After the optimization process was completed, the performance curve of the optimized compressor was compared with the NASA-CC3 compressor at and outside the design point, and its advantages and disadvantages were stated. At the end of the above optimization process, the efficiency of the centrifugal compressor increased by 1.06% at the design point. To investigate the effect of the number of computational networks on the independence of results, further analysis is required.
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spelling doaj-art-e6609ad401824a09bfed66b81ce2d3d52025-01-26T05:04:15ZengElsevierHeliyon2405-84402025-02-01113e42011Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter bladesMohammadjavad Tasharrofi0Mojtaba Heidarian Shahri1Ali Madadi2Amirkabir University of Technology, Tehran, IranAmirkabir University of Technology, Tehran, IranCorresponding author.; Amirkabir University of Technology, Tehran, IranAfter the emergence of turbo-machines in the industrial field, researchers have always been seeking to increase their efficiency. Centrifugal compressors are widely used in industries, hence understanding their flow and attempting to increase their efficiency has always been a focus. In recent years, using two splitter blades alongside the main blades has been one of the novel methods used to improve the performance of centrifugal compressors. In this study, after validating the NASA-CC3 centrifugal compressor, a centrifugal compressor design with two splitter blades was carried out. Then, by defining eight variables, an attempt was made to optimize the design. The genetic algorithm was used as the optimization algorithm in this process. Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. After the optimization process was completed, the performance curve of the optimized compressor was compared with the NASA-CC3 compressor at and outside the design point, and its advantages and disadvantages were stated. At the end of the above optimization process, the efficiency of the centrifugal compressor increased by 1.06% at the design point. To investigate the effect of the number of computational networks on the independence of results, further analysis is required.http://www.sciencedirect.com/science/article/pii/S2405844025003913Centrifugal compressorDouble-splitterOptimizationArtificial network coupled to genetic algorithmIsentropic efficiency
spellingShingle Mohammadjavad Tasharrofi
Mojtaba Heidarian Shahri
Ali Madadi
Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
Heliyon
Centrifugal compressor
Double-splitter
Optimization
Artificial network coupled to genetic algorithm
Isentropic efficiency
title Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
title_full Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
title_fullStr Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
title_full_unstemmed Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
title_short Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
title_sort three dimensional design simulation and optimization of a centrifugal compressor impeller with double splitter blades
topic Centrifugal compressor
Double-splitter
Optimization
Artificial network coupled to genetic algorithm
Isentropic efficiency
url http://www.sciencedirect.com/science/article/pii/S2405844025003913
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AT alimadadi threedimensionaldesignsimulationandoptimizationofacentrifugalcompressorimpellerwithdoublesplitterblades