DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS

This paper presents a brief study of the information from the published literature and author's works regarding rotor-bearing systems analysis with respect to optimization. The main goal of this work is to motivate and give an idea to designers who are willing to deal with optimization of rotor...

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Main Author: Hamit SARUHAN
Format: Article
Language:English
Published: Pamukkale University 2003-03-01
Series:Pamukkale University Journal of Engineering Sciences
Subjects:
Online Access:http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089765
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author Hamit SARUHAN
author_facet Hamit SARUHAN
author_sort Hamit SARUHAN
collection DOAJ
description This paper presents a brief study of the information from the published literature and author's works regarding rotor-bearing systems analysis with respect to optimization. The main goal of this work is to motivate and give an idea to designers who are willing to deal with optimization of rotor-bearing sytems. The results obtained and presented in this study are to provide a comparison with numerical optimum design methods such as gradientbased method, and to show the potential of genetic algorithms in optimization of rotor-bearing systems. Genetic algorithms have been used as optimization problem solving techniques. They are parameter search procedures based on the idea of natural selection and genetics. These robust methods have increasingly recognized and applied in many applications.
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spelling doaj.art-772eb458cad844a8b4cc7202a267e3b62023-02-15T16:16:27ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812003-03-01933193265000083833DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMSHamit SARUHANThis paper presents a brief study of the information from the published literature and author's works regarding rotor-bearing systems analysis with respect to optimization. The main goal of this work is to motivate and give an idea to designers who are willing to deal with optimization of rotor-bearing sytems. The results obtained and presented in this study are to provide a comparison with numerical optimum design methods such as gradientbased method, and to show the potential of genetic algorithms in optimization of rotor-bearing systems. Genetic algorithms have been used as optimization problem solving techniques. They are parameter search procedures based on the idea of natural selection and genetics. These robust methods have increasingly recognized and applied in many applications.http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089765Rotor, Rulman, Optimizasyon, Genetik algoritmalar
spellingShingle Hamit SARUHAN
DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS
Pamukkale University Journal of Engineering Sciences
Rotor, Rulman, Optimizasyon, Genetik algoritmalar
title DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS
title_full DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS
title_fullStr DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS
title_full_unstemmed DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS
title_short DESIGN OPTIMIZATION OF ROTOR-BEARING SYSTEMS
title_sort design optimization of rotor bearing systems
topic Rotor, Rulman, Optimizasyon, Genetik algoritmalar
url http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089765
work_keys_str_mv AT hamitsaruhan designoptimizationofrotorbearingsystems