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Advances in Tribology
Volume 2013, Article ID 580367, 13 pages
http://dx.doi.org/10.1155/2013/580367
Research Article

Optimum Groove Location of Hydrodynamic Journal Bearing Using Genetic Algorithm

Indian Institute of Technology Guwahati, Guwahati 781309, India

Received 15 February 2013; Revised 13 May 2013; Accepted 31 May 2013

Academic Editor: Michel Fillon

Copyright © 2013 Lintu Roy and S. K. Kakoty. 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.

Abstract

This paper presents the various arrangements of grooving location of two-groove oil journal bearing for optimum performance. An attempt has been made to find out the effect of different configurations of two groove oil journal bearing by changing groove locations. Various groove angles that have been considered are 10°, 20°, and 30°. The Reynolds equation is solved numerically in a finite difference grid satisfying the appropriate boundary conditions. Determination of optimum performance is based on maximization of nondimensional load, flow coefficient, and mass parameter and minimization of friction variable using genetic algorithm. The results using genetic algorithm are compared with sequential quadratic programming (SQP). The two grooved bearings in general have grooves placed at diametrically opposite directions. However, the optimum groove locations, arrived at in the present work, are not diametrically opposite.