五轴联动铣削复杂曲面表面粗糙度研究

摘要

Analyzing the effect of cutting parameters on surface roughness is crucial to improve the milling quality of complex surface with five-axis CNC machining center.Firstly, single factor experiments are employed to analyze influence principle of cutting parameters on surface roughness.Numerical models between cutting parameter and surface roughness are established respectively by using simulated annealing(SA).Secondly, optimization of cutting parameters' range is carried out for orthogonal experiments by normalizing the data of single factor experiments.Lastly, through orthogonal experiments, multivariate predictive models of surface roughness, based on the algorithms of simulated annealing(SA) and least-square(L-S), are constructed respectively and verified.Result shows that the predictive model may provide more accurate guidance for optimizing cutting parameters of complex surface milling.%为了提高五轴联动铣削复杂曲面的加工质量,分析多切削工艺参数对表面粗糙度的影响至关重要.首先,通过单因素实验分析了各切削工艺参数对表面粗糙度的影响规律,基于模拟退火算法理论,分别建立了各切削工艺参数与表面粗糙度的一元关系模型;其次,通过对单因素实验数据进行归一化处理,为正交实验优选切削工艺参数区间;最后,通过正交实验,分别建立了基于模拟退火及传统最小二乘原理的表面粗糙度多元复合预测模型并通过实验进行验证.验证结果表明,所建立的预测模型能够为复杂曲面铣削加工优选加工参数提供更准确的指导.