关键词: 内齿珩轮, 强力珩齿, 齿面粗糙度, 工艺参数, 预测优化

Abstract: Aiming at the influence of power honing process parameters on gear surface roughness Ra,a Response Surface Methodology (RSM) experiments were carried out to build Ra prediction model,and the influence rules of internal teeth honing wheel power honing gear process parameters including honing wheel revolution nH,feed rate in Z direction fZ  and feed rate in X direction fX on Ra was analyzed.Under the condition that tooth surface Ra was less than or equal to 0.36 μm precision,Cuckoo Search (CS) algorithm was used to optimize a set of process parameters maximum strength honing efficiency.The results showed that the nH  had biggest influence on gears' surface roughness in the honing process parameters within a certain range,the effect of fZ and fX  were almost the same,thus the high confidence of surface roughness modeled by RSM could be optimally select the honing parameters;the surface roughness value Ra of gear machined by the optimized set of Gear Honing Parameters met the requirement of tooth surface accuracy,which could control and predict the gears' surface quality before power honing.

Key words: internal teeth honing wheel, power honing, gear teeth surface roughness, process parameters, prediction optimization