论文部分内容阅读
分析了影响数控铣削加工表面粗糙度的主要因素,利用多元回归分析建立了基于球头铣刀的表面粗糙度关于其影响因素的数学模型。经显著性检验,该模型预测精度高,泛化能力强。该模型为虚拟数控铣削表面粗糙度预测的建模提供了理论依据。开发了基于DELPHI的可视化交互式的仿真系统,实现了虚拟数控铣床的表面粗糙度的在线预测。有助于理解表面粗糙度随铣削参数改变的规律,也为铣削参数优化提供理论依据。
The main factors affecting the surface roughness of NC milling are analyzed. The mathematical model of the surface roughness based on ball mill cutter is established by using multiple regression analysis. After significant test, the model has high prediction accuracy and generalization ability. The model provides a theoretical basis for modeling the prediction of surface roughness of virtual NC milling. A visual interactive simulation system based on DELPHI was developed to realize the online prediction of the surface roughness of the virtual CNC milling machine. Help to understand the law of surface roughness changes with the milling parameters, but also provide a theoretical basis for the optimization of milling parameters.