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

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Chen, Zhaobo Jiao, Yinghou Xia, Songbo Huang, Wenhu
Copyright Year	2005
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.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	1107
Ending Page	1112
Page Count	6
File Format	PDF
ISBN	0791847381
DOI	10.1115/DETC2005-84677
e-ISBN	0791837661
Volume Number	Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C
Conference Proceedings	ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2005-09-24
Publisher Place	Long Beach, California, USA
Access Restriction	Subscribed
Subject Keyword	Viscosity Computer simulation Lubricants Bearings Rotors Probability Clearances (engineering) Optimization Genetic algorithms Design Gases Fluids Algorithms Journal bearings
Content Type	Text
Resource Type	Article

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