基于NSGA-II算法优化的SiC_p/Al复合材料超声磨削表面评价研究

Silicon carbide particle reinforced aluminum matrix composite (SiC_p/Al) possesses superior physical and mechanical properties such as high specific strength and specific stiffness, but it is one kind of typically hard to machine material, and the machined surface is prone to appearing cracks, pits and other defects, in addition, surface roughness can't effectively evaluate the surface processing quality of such materials. Aiming at this status, characteristic parameter S_cr was put forward to comprehensively reflect the machined surface morphology of SiC_p/Al Composite. Taking it as the optimization objective, the process parameters for ultrasonic vibration grinding of SiC_p/Al composite were optimized based on NSGA-II algorithm. Finally, the optimum conditions are as follows: spindle speed n = 15 000 r/m, feed rate v_f = 5 mm/min, cutting depth a_p =15 μm and vibration amplitude A= 5 μm. The optimization method of process parameters is verified by experiments, and the experimental results agree well with optimization results, characteristic roughness can effectively evaluate surface processing quality of SiC_p/Al composites.