Numerical optimization of asymmetric surface texturing under reciprocating sliding conditions

In this study, two asymmetric texturing forms are proposed and a numerical optimization with a genetic algorithm is conducted for the asymmetric surface texturing to improve lubricant load support under reciprocating sliding conditions. Considering the two stroke performances in a reciprocating motion, four evaluation criteria are used to control and enhance the directional or overall performance of the surfaces with the optimized textures. The effects of operating conditions on the optimal texturing are also highlighted. The results show that the well-designed asymmetric texturing has the potential to improve the overall performance or achieve directional frictional control, and the optimal texturing is not necessarily symmetric or asymmetric and should be designed based on its operating condition and practical demand.