Multiobjective optimization of thermohydrodynamic journal bearing using MOPSO algorithm

Abstract

This article focuses on the use of multiobjective particle swarm optimization algorithm in combination with the thermohydrodynamic governing equations of fluid film (i.e. momentum and energy equations) in developing an efficient design method to optimize hydrodynamic partial pad journal bearings, for the first time. The governing equations are solved by using the central difference technique with a successive over relaxation scheme. In the simulation, the lubricant viscosity is changed with the temperature variation in whole fluid film. In this problem, the bearing power loss, the minimum oil film thickness, and the maximum oil temperature are selected as three objective functions and the radial clearance and length-to-diameter ratio are considered as two important design variables. The results of the objective functions are presented in tabular and Pareto-front curves. Further, the effect of bearing speed, bearing load, and inlet oil temperature on the mentioned objective functions is illustrated.

Keywords

Multiobjective particle swarm optimization objective functions Pareto front journal bearing thermohydrodynamic

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