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International Journal of Rotating Machinery
Volume 10, Issue 4, Pages 301-307

Design Optimization of Tilting-Pad Journal Bearing Using a Genetic Algorithm

1Mechanical Design Department, Abant Izzet Baysal University, Duzce, Turkey
2Mechanical Engineering Department, University of Kentucky, Lexington, KY, USA
3Mechanical Analysis, INC, Nicholasville, KY, USA
4A1 Bu, Taknik Egitim Fakuletsi, Makine Egitimi Bolumu, Duzce 81620, Turkey

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This article focuses on the use of genetic algorithms in developing an efficient optimum design method for tilting pad bearings. The approach optimizes based on minimum film thickness, power loss, maximum film temperature, and a global objective. Results for a five tilting-pad preloaded bearing are presented to provide a comparison with more traditional optimum design methods such as the gradient-based global criterion method, and also to provide insight into the potential of genetic algorithms in the design of rotor bearings. Genetic algorithms are efficient search techniques based on the idea of natural selection and genetics. These robust methods have gained recognition as general problem solving techniques in many applications.