Logo del repository
  1. Home
 
Opzioni

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

Alberto Clarich
•
MOSETTI, GIOVANNI
•
PEDIRODA, VALENTINO
•
POLONI, CARLO
2005
  • journal article

Periodico
INTERNATIONAL JOURNAL OF ROTATING MACHINERY
Abstract
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.
DOI
10.1155/IJRM.2005.143
Archivio
http://hdl.handle.net/11368/2546010
Diritti
metadata only access
Soggetti
  • compressor

  • optimization

google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback