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Optimum Design of Rotor-Bearing Systems Considering the Nonlinear Effects of Bearing Fluid Forces

[+] Author Affiliations
Zhaobo Chen, Yinghou Jiao, Songbo Xia, Wenhu Huang

Harbin Institute of Technology, Harbin, China

Paper No. DETC2005-84677, pp. 1107-1112; 6 pages
doi:10.1115/DETC2005-84677
From:
  • ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C
  • Long Beach, California, USA, September 24–28, 2005
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4738-1 | eISBN: 0-7918-3766-1
  • Copyright © 2005 by ASME

abstract

Genetic algorithms (GAs) are adaptive procedures that find solution to problems by an evolutionary process that mimics natural selection. In this paper, methods based on GAs have been developed and presented for design optimization of journal bearings in nonlinear rotor system. The GA uses a 30-bit chromosome to represent the bearing radial clearance, aspect ratio and lubricant viscosity, with 10-bit for each design variable. The instability onset speed of the system is taken as the fitness function in GA, in which the nonlinear effects of the bearing fluid forces are considered. The instability onset speed is defined in two different cases, that is, periodic and quasi-periodic or chaotic motions. To verify the effectiveness of the suggested method, a rigid rotor-bearing system is taken as an example to be optimized. The different crossover probabilities, mutation probabilities and population sizes are employed to analyze their influences on GA so that a set of appropriate parameters are chosen to be used in the final calculation. The results are compared with those obtained by numerical simulation. It is shown that the proposed algorithm is effective in the optimum design of rotor-bearing system.

Copyright © 2005 by ASME
Topics: Force , Fluids , Bearings , Design , Rotors

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