蜗杆砂轮磨齿加工参数优化及齿面粗糙度回归模型

Optimization of Grinding Parameters of Worm Grinding Wheel and Regression Model of Tooth Surface Roughness

通过蜗杆砂轮对20CrMnTi齿轮进行磨削测试,对比不同磨削参数下齿轮齿面粗糙度。为磨削参数和齿面粗糙度构建多元回归模型进行参数预测,确定更高效率以及获得更低齿面粗糙度的磨削条件。研究结果表明:利用方差分析砂轮线速度和齿面粗糙度,得到的决定系数分别为0.92746和0.93541,说明设定砂轮线速度和齿面粗糙度水平参数可以满足显著性要求。砂轮线速度跟齿面粗糙度呈现负相关特征。轴向进给速度平方跟齿面粗糙度形成了明显正相关性。磨削厚度平方和齿面粗糙度值呈现正相关特征。相对实际加工条件,以优化参数加工形成的齿面粗糙度可以降低0.023μm的粗糙度,减少0.044 min的处理时间,表明经过优化处理后可以大幅提升加工效率并降低齿面的粗糙度。

A 20CrMnTi gear is tested by a worm grinding wheel,and the roughness of the gear tooth surface under different grinding parameters is compared.A multivariate regression model is established to predict the grinding parameters and tooth surface roughness,and the grinding conditions with higher efficiency and lower tooth surface roughness are determined.The results show that the decision coefficient of grinding wheel linear velocity and tooth surface roughness obtained by variance analysis are 0.92746 and 0.93541 respectively,indicating that setting the horizontal parameters of the grinding wheel linear velocity and tooth surface roughness can meet the significance requirements.The linear velocity of the grinding wheel is negatively correlated with the roughness of tooth surface.The square of axial feed velocity is positively correlated with the roughness of the tooth surface.There is a positive correlation between the square of grinding thickness and tooth surface roughness.Compared with typical machining conditions,the roughness of the tooth surface formed by the optimized processing parameters can be reduced by 0.023μm and processing time by 0.044 min,indicating that the machining efficiency can be significantly improved and the roughness of the tooth surface can be reduced after the optimized processing.