Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor
The purpose of this work is to optimize the stator shape of an axial compressor, in order to maximize the global efficiency of the machine, fixing the rotor shape. We have used a 3D parametric mesh and the CFX-Tascflow code for the flow simulation. To find out the most important variables in this pr...
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Format: | Article |
Language: | English |
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Wiley
2005-01-01
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Series: | International Journal of Rotating Machinery |
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Online Access: | http://dx.doi.org/10.1155/IJRM.2005.143 |
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author | Alberto Clarich Giovanni Mosetti Valentino Pediroda Carlo Poloni |
author_facet | Alberto Clarich Giovanni Mosetti Valentino Pediroda Carlo Poloni |
author_sort | Alberto Clarich |
collection | DOAJ |
description | The purpose of this work is to optimize the stator shape
of an axial compressor, in order to maximize the global efficiency
of the machine, fixing the rotor shape. We have used a 3D
parametric mesh and the CFX-Tascflow code for the flow simulation.
To find out the most important variables in this problem, we have
run a preliminary series of designs, whose results have been
analyzed by a statistic tool. This analysis has helped us to
choose the most appropriate variables and their ranges in order to
implement the optimization algorithm more efficiently and rapidly.
For the simulation of the fluid flow through the machine, we have
used a cluster of 12 processors. |
format | Article |
id | doaj-art-025864cb49f84c7a9e1ae8774740649e |
institution | Kabale University |
issn | 1023-621X 1542-3034 |
language | English |
publishDate | 2005-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Rotating Machinery |
spelling | doaj-art-025864cb49f84c7a9e1ae8774740649e2025-02-03T05:44:50ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342005-01-012005214315110.1155/IJRM.2005.143Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial CompressorAlberto Clarich0Giovanni Mosetti1Valentino Pediroda2Carlo Poloni3Department of Energetics, Faculty of Engineering, University of Trieste, Trieste 10-34127, ItalyDepartment of Energetics, Faculty of Engineering, University of Trieste, Trieste 10-34127, ItalyDepartment of Energetics, Faculty of Engineering, University of Trieste, Trieste 10-34127, ItalyDepartment of Energetics, Faculty of Engineering, University of Trieste, Trieste 10-34127, ItalyThe purpose of this work is to optimize the stator shape of an axial compressor, in order to maximize the global efficiency of the machine, fixing the rotor shape. We have used a 3D parametric mesh and the CFX-Tascflow code for the flow simulation. To find out the most important variables in this problem, we have run a preliminary series of designs, whose results have been analyzed by a statistic tool. This analysis has helped us to choose the most appropriate variables and their ranges in order to implement the optimization algorithm more efficiently and rapidly. For the simulation of the fluid flow through the machine, we have used a cluster of 12 processors.http://dx.doi.org/10.1155/IJRM.2005.143axial compressorevolutionary optimization statistical analysis. |
spellingShingle | Alberto Clarich Giovanni Mosetti Valentino Pediroda Carlo Poloni Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor International Journal of Rotating Machinery axial compressor evolutionary optimization statistical analysis. |
title | Application of Evolutionary Algorithms and Statistical Analysis in the
Numerical Optimization of an Axial Compressor |
title_full | Application of Evolutionary Algorithms and Statistical Analysis in the
Numerical Optimization of an Axial Compressor |
title_fullStr | Application of Evolutionary Algorithms and Statistical Analysis in the
Numerical Optimization of an Axial Compressor |
title_full_unstemmed | Application of Evolutionary Algorithms and Statistical Analysis in the
Numerical Optimization of an Axial Compressor |
title_short | Application of Evolutionary Algorithms and Statistical Analysis in the
Numerical Optimization of an Axial Compressor |
title_sort | application of evolutionary algorithms and statistical analysis in the numerical optimization of an axial compressor |
topic | axial compressor evolutionary optimization statistical analysis. |
url | http://dx.doi.org/10.1155/IJRM.2005.143 |
work_keys_str_mv | AT albertoclarich applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor AT giovannimosetti applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor AT valentinopediroda applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor AT carlopoloni applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor |