基于响应曲面法和NSGA2的凸轮轴磨削参数优化

Optimization of camshaft grinding parameters based on response surface method and NSGA2

为改善20CrMo钢凸轮轴磨削加工的质量和效率,基于响应曲面法进行磨削试验,分析磨削工艺参数对其表面粗糙度的影响,并建立相应的回归模型。根据工件形状特点,建立工件薄弱部位瞬时材料去除率计算模型,将表面粗糙度和材料去除率作为优化目标,利用第二代非支配快速排序遗传算法(non-dominated sorting genetic algorithm-2,NSGA2)进行多目标工艺参数组合寻优并进行试验验证。结果表明:求解得到的最优工艺参数组合是砂轮线速度为60 m/s、工件转速为96 r/min、磨削深度为30μm,在保证工件薄弱部位表面粗糙度满足加工要求的前提下,可有效提高其磨削加工效率。

In order to improve the grinding quality and efficiency of 20CrMo steel camshaft,response surface method was used to conduct grinding tests.The influence of grinding process parameters on surface roughness was analyzed,and the corresponding regression model was established.Based on the shape characteristics of the workpiece,the in-stantaneous material removal rate calculation model of the weak part of the workpiece was established.The model of surface roughness and material removal rate was taken as the optimization objective.The second generation of non-dominated sorting genetic algorithm was used to optimize the combination of multi-objective process parameters and test verification was carried out.The results show that the optimal combination of process parameters,namely the linear speed of the grinding wheel 60 m/s,the workpiece speed 96 r/min and the grinding depth 30μm,can effectively im-prove the grinding efficiency under the premise of ensuring that the surface roughness of the weak part meets the ma-chining requirements.