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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Main Authors: Alberto Clarich, Giovanni Mosetti, Valentino Pediroda, Carlo Poloni
Format: Article
Language:English
Published: Wiley 2005-01-01
Series:International Journal of Rotating Machinery
Subjects:
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
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institution Kabale University
issn 1023-621X
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language English
publishDate 2005-01-01
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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
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