Impact Evaluation Approach of a Texture Cross Section Shape on Hydrodynamic Lubrication Performance

Abstract

It has been confirmed that bionic surface texture can effectively improve the lubricating and tribological performance of the sliding surface, and the texture cross section shape and depth are important parameters affecting the lubrication performance of the texture. However, there is a lack of effective optimization method for a texture cross section shape and determining the texture depth of a random texture cross section shape. Hydrodynamic lubrication performance model of a single texture under the uncompressible Newtonian fluid lubrication conditions was established based on the two dimensional steady-state Reynolds equation and texture depth equation, and finite difference method was adopted to discrete and solve the distribution of oil film pressure on the textured surface as well as analyzes the impact of different texture cross section shapes and depth on oil film pressure distribution and surface load capacity. The numerical simulation result shows that the textured surface can obtain a better hydrodynamic lubrication performance by guaranteeing that the average texture depth of a random shape of texture cross section equals the initial thickness of oil film. In addition, the shape of a texture cross section can be optimized based on the method of smaller a texture depth and deviation of a texture depth so as to obtain the optimal hydrodynamic lubrication performance of textured surface.