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Journal bearing design using multiobjective genetic algorithm and axiomatic design approaches

DSpace at IIT Bombay

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Field Value
 
Title Journal bearing design using multiobjective genetic algorithm and axiomatic design approaches
 
Creator HIRANI, H
SUH, NP
 
Subject optimum design
high-speed
performance
improvement
multiobjective optimization of journal bearing
genetic algorithm for pareto optimal front
axiomatic design
 
Description This paper describes the optimum design methodology for improving operating characteristics of fluid-film steadily loaded journal bearings. This methodology consists of (1) a simplified closed form solution to accelerate the computation, (2) finite difference mass conserving algorithm for accurate prediction of lubricant flow and power loss, (3) Pareto optimal concept to avoid subjective decision on priority of objective functions, (4) a genetic algorithm to deal with multimodal nature of hydrodynamic-bearing and develop a Pareto optimal front. (5) fitness sharing to maintain genetic diversity of the population used in genetic algorithm, and (6) axiomatic design to provide inside of objective functions and design variables. In the optimum design of journal bearings, the design variables such as radial clearance, length to diameter ratio. groove geometry, oil viscosity and supply pressure are used to simultaneously minimize oil flow and power loss. A step-by-step procedure. graphs and tables are presented to demonstrate the concept and effectiveness of suggested design methodology. (c) 2004
 
Publisher ELSEVIER SCI LTD
 
Date 2011-07-22T06:40:50Z
2011-12-26T12:52:19Z
2011-12-27T05:39:28Z
2011-07-22T06:40:50Z
2011-12-26T12:52:19Z
2011-12-27T05:39:28Z
2005
 
Type Article
 
Identifier TRIBOLOGY INTERNATIONAL, 38(5), 481-491
0301-679X
http://dx.doi.org/10.1016/j.triboint.2004.10.008
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6139
http://hdl.handle.net/10054/6139
 
Language en