针对目前异形螺杆形式多样复杂、加工困难的现状,避免或者减少试切法在实际加工过程中人力、物力的浪费,分析了异形螺杆的形状特点及传统加工工艺;并在Visual Studio 2012环境下,以三维开放图形库OpenGL为工具,研究开发了异形螺杆车削...针对目前异形螺杆形式多样复杂、加工困难的现状,避免或者减少试切法在实际加工过程中人力、物力的浪费,分析了异形螺杆的形状特点及传统加工工艺;并在Visual Studio 2012环境下,以三维开放图形库OpenGL为工具,研究开发了异形螺杆车削动态仿真系统,实现了在参数输入、刀具库设计、工件设置等条件下几种异形螺杆的动态切削仿真。着重阐述了毛坯离散化的建模方法以及刀具与毛坯间的布尔减运算,利用OpenGL的双缓存技术,采用不断更新显示毛坯形状和刀具位置,以实现车削加工异形螺杆去除材料的过程。系统具有良好的实时性、三维图形显示能力以及一定的实用性。展开更多
A prediction model for net cutting specific energy in computer numerical control(CNC)turning based on turning parameters and tool wear is developed.The model can predict the net cutting energy consumption before turni...A prediction model for net cutting specific energy in computer numerical control(CNC)turning based on turning parameters and tool wear is developed.The model can predict the net cutting energy consumption before turning.The prediction accuracy of the model is verified in AISI 1045 steel turning.The comparative experimental results show that the prediction accuracy of the model is significantly improved because the influence of tool wear is taken into account.Finally,the influences of turning parameters and tool wear on net cutting specific energy are studied.With the increase of cutting depth,the net cutting specific energy decreases.With the increase of spindle speed,the additional load loss power of spindle drive system increases,so the net cutting specific energy increases.The net cutting specific energy increases approximately linearly with tool wear.The results are helpful to formulate efficient and energy-saving CNC turning schemes and realize low‑carbon manufacturing.展开更多
文摘针对目前异形螺杆形式多样复杂、加工困难的现状,避免或者减少试切法在实际加工过程中人力、物力的浪费,分析了异形螺杆的形状特点及传统加工工艺;并在Visual Studio 2012环境下,以三维开放图形库OpenGL为工具,研究开发了异形螺杆车削动态仿真系统,实现了在参数输入、刀具库设计、工件设置等条件下几种异形螺杆的动态切削仿真。着重阐述了毛坯离散化的建模方法以及刀具与毛坯间的布尔减运算,利用OpenGL的双缓存技术,采用不断更新显示毛坯形状和刀具位置,以实现车削加工异形螺杆去除材料的过程。系统具有良好的实时性、三维图形显示能力以及一定的实用性。
基金supported by the Project of Shandong Province Natural Science Foundation of China (No. ZR2016EEM29)the Project of Shandong Province Key Research Development of China (No.2017GGX30114)。
文摘A prediction model for net cutting specific energy in computer numerical control(CNC)turning based on turning parameters and tool wear is developed.The model can predict the net cutting energy consumption before turning.The prediction accuracy of the model is verified in AISI 1045 steel turning.The comparative experimental results show that the prediction accuracy of the model is significantly improved because the influence of tool wear is taken into account.Finally,the influences of turning parameters and tool wear on net cutting specific energy are studied.With the increase of cutting depth,the net cutting specific energy decreases.With the increase of spindle speed,the additional load loss power of spindle drive system increases,so the net cutting specific energy increases.The net cutting specific energy increases approximately linearly with tool wear.The results are helpful to formulate efficient and energy-saving CNC turning schemes and realize low‑carbon manufacturing.
