Optimal Shape Design of Steadily Loaded Journal Bearings using Genetic Algorithms

This puller describes an implementation of a genetic algorithm scheme suitable to the optimal shape design of finite-width, iso-viscous, fluid film journal bearings under steady load and steady journal rotation. Assuming perfect journal cylindricity, the optimization objective is to determine the ci...

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Vydané v:Tribology transactions Ročník 46; číslo 1; s. 134 - 143
Hlavní autori: Boedo, S., Eshkabilov, S. L.
Médium: Journal Article Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Colchester Taylor & Francis Group 01.01.2003
Taylor & Francis
Taylor & Francis Inc
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ISSN:1040-2004, 1547-397X
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Shrnutí:This puller describes an implementation of a genetic algorithm scheme suitable to the optimal shape design of finite-width, iso-viscous, fluid film journal bearings under steady load and steady journal rotation. Assuming perfect journal cylindricity, the optimization objective is to determine the circumferential variation of sleeve geometry that maximizes bearing load capacity, subject to specified minimum film thickness. Particular emphasis is placed on the selection of the number of design variables, chromosomes per generation, crossover and mutation probabilities, and the number of generations that promote convergence to one or more optimal designs. Optimal film thickness specifications obtained using this genetic algorithm are found to be generally superior to random search methods and comparable with previously published results based on traditional optimization strategies. For finite-width bearings, optimal bearing geometry is found to offer a small improvement in load capacity and a substantial improvement in oil flow over purely cylindrical designs. Presented as a Society of Tribologists and Lubrication Engineers Paper at the ASME/STLE Tribology Conference in Cancun, Mexico October 27-30, 2002
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:1040-2004
1547-397X
DOI:10.1080/10402000308982610