Rolling element bearing design through genetic algorithms

Indraneel Chakraborty, Vinay Kumar, Shivashankar B. Nair, Rajiv Tiwari

Research output: Contribution to journalArticle

62 Scopus citations

Abstract

The design of rolling bearings has been a challenging task in the field of mechanical engineering. While most of the real aspects of the design are never disclosed by bearing manufacturers, the common engineer is left with no other alternative than to refer to standard tables and chart containing the bearing performance characteristics. This paper presents a more viable method to solve this problem using genetic algorithms (GAs). Since the algorithm is basically a guided random search, it weakens the chances of getting trapped in local maxima or minima. The method used has yielded improved performance parameters than those catalogued in standard tables.

Original languageEnglish (US)
Pages (from-to)649-659
Number of pages11
JournalEngineering Optimization
Volume35
Issue number6
DOIs
StatePublished - Dec 1 2003
Externally publishedYes

Keywords

  • Genetic algorithms
  • Optimum mechanical design
  • Rolling element bearings

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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