Optimization of texture shape based on Genetic Algorithm under unidirectional sliding

A numerical approach was proposed for the optimization of shape contour of recessed surface texture under unidirectional sliding. The approach was developed based on a Genetic Algorithm to improve the tribological performance. Results indicated either bullet or fish shape to be the preferable texture shape contours. Analyses on the hydrodynamic pressure distribution suggested that the increase in hydrodynamic upthrust of the obtained textures being the major reason for their superior tribological behaviors. Experimental tests confirmed that textures of the bullet and fish shapes have lower friction coefficient than those of circular shape, which may verify the simulation results. •A numerical model to optimize the recessed texture shape has been developed.•Textures of bullet shape are identified to have superior tribological performance.•Hydrodynamic pressure increase is responsible for the tribology improvement.•Experimental tests are conducted to verify the simulation results.