In order to improve the oil film bearing capacity of journal bearings

an adaptive scale optimization design scheme for elliptical section dimple texture is proposed. Considering the cavitation and roughness effect

a textured bearing lubrication model based on the Reynolds equation is constructed. In the determining the optimal texture parameters

the particle swarm optimization algorithm is integrated

and the maximum bearing capacity is taken as the optimization goal. At the same time

the texture depth and texture radius are adaptively optimized according to the specific working conditions

the optimized bearing capacity and oil film pressure are analyzed. The optimized textured bearing is placed at different speeds and eccentricities to study its load-carrying effect. The results show that the bearing capacity of the optimized bearing is increased by 4.23% comparing with that without texture. With the increasing of rotational speed

the bearing capacity increases almost linearly

and the improvement of bearing capacity under the medium and low eccentricity is more significant. The adaptive scale optimization scheme outperforms the equal-scale optimization scheme in terms of bearing performance.