Open AccessOptimum Groove Location of Hydrodynamic Journal Bearing Using Genetic Algorithm
Author(s) -
Lintu Roy,
Sashindra Kumar Kakoty
Publication year - 2013
Publication title -
advances in tribology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 17
eISSN - 1687-5923
pISSN - 1687-5915
DOI - 10.1155/2013/580367
Subject(s) - groove (engineering) , maximization , bearing (navigation) , genetic algorithm , sequential quadratic programming , minification , reynolds equation , work (physics) , mathematics , quadratic equation , engineering , geometry , reynolds number , mechanics , computer science , mechanical engineering , mathematical optimization , quadratic programming , physics , turbulence , artificial intelligence
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
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