蜗杆砂轮磨齿加工参数优化

以蜗杆砂轮磨削加工20CrMnTi齿轮为研究对象，选择均匀设计试验法，研究磨削参数（砂轮线速度vs、砂轮沿齿轮轴向进给速度vw、磨削厚度ap）对齿面粗糙度的影响。采用二级逐步回归方法建立磨削参数与齿面粗糙度的回归模型，构建了以加工效率、齿面粗糙度为多目标的优化模型，采用粒子群优化算法对磨削参数进行了优化。试验结果表明，使用优化后的磨削参数加工可以提高加工效率、减小齿面粗糙度。

Optimization of Gear Grinding Parameters with Worm Grinding Wheel

Taking the 20CrMnTi gear grinding processes with worm grinding wheels as the research object, the uniform design test method was selected to study influences of the grinding parameters（i. e. grinding wheel linear speed vs， grinding wheel along the gear axial feed speed vw， grinding thickness ap）on the tooth surface roughness. The regression model of grinding parameters and tooth surface roughness was established by using two-level stepwise regression method， and the optimization model with multiple goals was established with the machining efficiency and tooth surface roughness as the optimization objectives. The particle swarm optimization algorithm was used to optimize the grinding parameters. The experimental results show that the optimized grinding parameters may improve the machining efficiency and reduce the tooth surface roughness.