Optimal design of rotor-bearing systems using immune-genetic algorithm

Authors
Citation
Bk. Choi et Bs. Yang, Optimal design of rotor-bearing systems using immune-genetic algorithm, J VIB ACOUS, 123(3), 2001, pp. 398-401
Citations number
8
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Mechanical Engineering
Journal title
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME
ISSN journal
1048-9002 → ACNP
Volume
123
Issue
3
Year of publication
2001
Pages
398 - 401
Database
ISI
SICI code
1048-9002(200107)123:3<398:ODORSU>2.0.ZU;2-B
Abstract
In this paper, the new combined algorithm (Immune-Genetic Algorithm, IGA) i s applied to minimize the total weight of the shaft and the resonance respo nse (Q factor), and to yield the critical speeds as far front the operating speed as possible. These factors play very important roles in designing a rotor-bearing system under the dynamic behavior constraints. The shaft diam eter, the bearing length and clearance are chosen as the design variables. The results shoal that the IGA cat reduce the weight of the shaft arid impr ove the critical speed and Q factor with dynamic constraints.