Texture Parameters' Impact on Computational Efficiencies of Multigrid and Progressive Mesh Densification Methods for Solving Textured Journal Bearing Problems

Abstract

The numerical solution of textured journal bearings can be obtained by different methods such as progressive mesh densification (PMD), multigrid (MG), and fixed mesh or fixed mesh density (FMD). However, the computational efficiencies of these methods vary greatly while solving textured journal-bearing problems. In the present study, computational efficiencies of the PMD, MG, and FMD methods are compared, by varying texture and bearing parameters such as texture portion, dimple area density, dimple aspect ratio, dimensionless clearance, and dimensionless length, while solving dimple textured journal bearing problems. From this study, it is observed that the PMD method has superior computational efficiency compared to the MG and FMD methods for the range of values of texture and bearing parameters considered in the numerical analysis.