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

被引：20

作者：

Choi, BK ^{[1
]}

Yang, BS ^{[1
]}

机构：

[1] Arizona State Univ, Coll Engn & Appl Sci, Tempe, AZ 85287 USA

来源：

JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME | 2001年 / 123卷 / 03期

关键词：

D O I：

10.1115/1.1377021

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, the new combined algorithm (Immune-Genetic Algorithm, IGA) is applied to minimize the total weight of the shaft and the resonance response (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 diameter, 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 improve the critical speed and Q factor with dynamic constraints.

引用

页码：398 / 401

页数：4

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