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

摘要： 为了有效降低汽车高档变速箱齿轮传动噪声,针对强力珩齿工艺参数对齿轮表面粗糙度Ra的影响,在一定工艺参数范围内采用响应曲面法设计强力珩齿试验,并建立Ra预测模型,分析强力珩齿的珩轮转速nH、Z向进给量fZ和X向进给量fX等工艺参数对被珩齿面Ra的影响规律;在满足齿面Ra≤0.36 μm的精度下,通过布谷鸟搜索算法优化出最大强力珩齿效率的一组工艺参数。结果表明,在一定内齿珩轮强力珩齿工艺参数范围内,nH对被珩齿轮工件表面粗糙度影响最大,fZ和fX的影响程度基本相当,通过响应曲面法建立的表面粗糙度模型置信度高;经优化的一组强力珩齿工艺参数所加工的齿轮表面粗糙度Ra值满足齿面精度要求,可在珩齿前对被珩齿轮工件表面质量进行预测和控制。

关键词: 内齿珩轮, 强力珩齿, 齿面粗糙度, 工艺参数, 预测优化