A computational approach on the multitask optimization of inclined slider bearing performance with upper-surface-waviness

Abstract

The purpose of this paper is to propose an optimistic upper surface design, by applying a wavy pattern, for the slider bearing lubrication environment, without going beyond the geometric limits of the complete flow volume. Continuity, momentum and energy equations are handled simultaneously by interpreting the relation of lubricant motion and pressure distribution through a Transfer Matrix; the temperature dependent character of viscosity is considered in the computations with a convergence criterion of 0.01% for two consecutive temperature distributions within the implemented iterative approach. Numerical investigations are carried with wave amplitude and wave number ranges of 0-200 mu m and 5-105 respectively and the pumping pressures are 1.01-3.01 times the exit value. The computational results point out an optimum upper surface design with a wave number range of 25-45, which not only increases the load capacity but also decreases the power requirement.