基于响应曲面法的钛合金干式车削工艺参数优化

为了提高钛合金干式车削加工质量,采用响应曲面法对主要车削工艺参数进行了优化,以工件表面粗糙度Ra和刀具磨损量VC作为评价指标,设计了切削速度、背吃刀量和进给量三因素的Box-Behnken实验模型。利用方差和拟合残差概率分布分析三因素的显著性及交互作用,并结合实验检验所建表面粗糙度和刀具磨损二阶响应预测模型的有效性。响应曲面法优化后的最佳工艺参数为:切削速度20 m/min、背吃刀量0.1788 mm、进给量0.1 mm/r,此时得到的表面粗糙度和刀具磨损量为1.031μm和155.6μm,与预测值的误差分别为:9.93%和1.58%。结果表明:基于响应曲面法的钛合金干式车削表面粗糙度和刀具磨损量预测模型准确有效。

Optimization of dry turning process parameters of titanium alloy based on response surface methodology

In order to improve the dry turning quality of titanium alloy,the response surface methodology was used to optimize the main turning parameters.A Box-Behnken experimental model was developed the cutting speed,cutting depth and feed rate were regarded as the processing parameters,Ra of workpiece surface roughness and VC of tool wear were regarded as evaluation indexes.Variance and fitting residual probability distribution were used to analyze the significance and interaction of three factors.Furthermore,the validity of the second-order response prediction model of surface roughness and tool wear was verified by experiments.The result shows that the optimum cutting speed,cutting depth and feed rate is 20 m/min,0.1788 mm,0.1 mm/r,respectively.The surface roughness and tool wear obtained by cutting with optimized three parameters,is 1.031μm,155.6μm,The errors are 9.93%and 1.58%respectively compared with predicted value.It is proved that the prediction model of surface roughness and tool wear based on response surface methodology(RSM)is accurate and effective.