Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor

<p>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 i...

Full description

Saved in:
Bibliographic Details
Main Authors: Clarich Alberto, Mosetti Giovanni, Pediroda Valentino, Poloni Carlo
Format: Article
Language:English
Published: Wiley 2005-01-01
Series:International Journal of Rotating Machinery
Subjects:
Online Access:http://www.hindawi.net/access/get.aspx?journal=ijrm&volume=2005&pii=S1023621X0350505X
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832563766476144640
author Clarich Alberto
Mosetti Giovanni
Pediroda Valentino
Poloni Carlo
author_facet Clarich Alberto
Mosetti Giovanni
Pediroda Valentino
Poloni Carlo
author_sort Clarich Alberto
collection DOAJ
description <p>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.</p>
format Article
id doaj-art-40cf170b61cb47faa2e643b10afe2751
institution Kabale University
issn 1023-621X
language English
publishDate 2005-01-01
publisher Wiley
record_format Article
series International Journal of Rotating Machinery
spelling doaj-art-40cf170b61cb47faa2e643b10afe27512025-02-03T01:12:35ZengWileyInternational Journal of Rotating Machinery1023-621X2005-01-0120052143151Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial CompressorClarich AlbertoMosetti GiovanniPediroda ValentinoPoloni Carlo<p>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.</p>http://www.hindawi.net/access/get.aspx?journal=ijrm&volume=2005&pii=S1023621X0350505Xaxial compressorevolutionary optimizationstatistical analysis
spellingShingle Clarich Alberto
Mosetti Giovanni
Pediroda Valentino
Poloni Carlo
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://www.hindawi.net/access/get.aspx?journal=ijrm&volume=2005&pii=S1023621X0350505X
work_keys_str_mv AT clarichalberto applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor
AT mosettigiovanni applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor
AT pedirodavalentino applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor
AT polonicarlo applicationofevolutionaryalgorithmsandstatisticalanalysisinthenumericaloptimizationofanaxialcompressor