圆环面铣刀高速铣削S50C模具钢的工艺参数研究

为了探究高速铣削过程中工艺参数对表面粗糙度的影响规律，采用多因素正交试验方法对常用模具钢S50C进行高速铣削试验，测量了使用圆环面铣刀铣削加工时不同主轴转速、进给速度、切削深度、切削行距、刀具倾角下加工工件的表面粗糙度，利用人工神经网络结合遗传算法建立了表面粗糙度预测与工艺参数优选模型，并且对模型的有效性进行了验证。结果表明，此方法可以用于切削加工前表面粗糙度的预测与工艺参数的优选，同时也为其他材料加工工艺参数的研究提供了方法。

Research on Process Parameters of Toroidal Cutter in High-speed Milling of Die Steel S50C

In order to explore the effect of process parameters on surface roughness in high-speed milling, the multifactorial orthogonal experiments of die steel S50C are conducted, and the surface roughness is measured under different parameters such as spindle speed, feed rate, axial depth, radial width and pose angle. The artificial neural network and genetic algorithm are used to establish a prediction model of surface roughness and an optimization model of process parameters. In addition, the validity of two models is verified. Results show that the approach may be used for the prediction of surface roughness and optimization of the process parameters before machining. Moreover, this research also provides a valid means to study the process parameters of other materials.