Optimization of surface textures for the gas journal bearing based on hydrodynamic lubrication

An optimization research of surface textures for gas journal bearing based on hydrodynamic lubrication theory is performed in this work. The influence of texture depth, distribution, quantity, size and bottom shape on load-carrying capacity (LCC) is analyzed based on a numerical model and Newton-multigrid method. The texture parameters are optimized using a hybrid optimization method. For textures with rectangular bottom shape, the depth and area ratio have a significant impact on the LCC in the high-pressure region, while for textures with triangle bottom, the asymmetric degree has a more significant impact. The optimized textures significantly improve the LCC, and the effect becomes more significant under high bearing speed, and the growth rate can reach up to 160.9%.