摘要
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.
建立了基于车削参数和刀具磨损的数控车削中净去除材料比能预测模型,可在车削加工前预测计算净去除材料能耗。在AISI 1045钢车削试验中验证了该模型的预测精度。对比试验表明,该模型因为考虑了刀具磨损的影响,所以预测精度显著提高。最后研究了车削参数和刀具磨损对净去除材料比能的影响。随着背吃刀量增加,净去除材料比能降低。主轴转速增加,使得数控车床主传动系统附加载荷损耗功率增加,所以净去除材料比能增加。净去除材料比能随着刀具逐渐磨损近似呈线性增大。研究结果有助于制定高效节能的数控车削加工方案,实现低碳制造。
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)。
