Bionic Optimal Design For HSS Wear-resistance Surface

As an emerged interdisciplinary subject, the bionic tribology provides new ideas andimportant tools to develop new wear technique. HSS was selected as the research object. Bionictechnique and wearable technique were achieved in this paper. To seek the optimal wear-resistingsurface, mathematical models of bionic surface wear were established, and parameters wereoptimized with Genetic Algorithm.Referred to some living organisms’ wear-resisting surface, convexity and stripe were selectedas typical bionic forms. The parameters of the elements included diameter/width, distance andheight. Micro-size bionic elements on the HSS surface were obtained with laser melting methods.The Box-Behnken design was applied to friction-wear test. The regression equation of bionicsurface wear was established by multivariate nonlinear regression analysis based on the result ofmaterial wear test. Parameters of wear mathematical model were optimized with GeneticAlgorithm. Besides, friction-wear test at lower load and its simulation results were achieved.The wear mass loss of optimized convex and striate surface is reduced by42.1%and41.1%respectively. And all friction coefficients of bionic surfaces are smaller than those of smoothsurface. However, the wear of bionic surface is less than smooth surface only when the parametersof the bionic element are reasonable. FEM simulated test proves that the wear-resistance of bionicsurface is the coupling effect of laser hardening and bionic form.