Most of the existing energy-consumption models of machine tools are related to specific machine components and hence cannot be applied to other machine tools with different specifications. In order to help operators optimize machining parameters for improving energy efficiency, the tool tip cutting specific energy prediction model based on machining parameters and tool wear in milling is developed, which is independent of the standby power of machine tools and the spindle no-load power. Then, the prediction accuracy of the proposed model is verified with dry milling AISI 1045 steel experiments. Finally, the influence of machining parameters and tool wear on tool tip cutting specific energy is studied. The developed model is independent of machine components, so it can reveal the influence of machining parameters and tool wear on tool tip cutting specific energy. The tool tip cutting specific energy reduces with the increase in the cutting depth, side cutting depth, feed rate, and cutting speed, while increases linearly as the tool wears gradually. The research results are helpful to formulate efficient and energy-saving processing schemes on various milling machines.

中文翻译：

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刀尖切削比能量预测模型及铣削加工参数和刀具磨损的影响

现有的机床能耗模型大多与特定的机床部件有关，无法应用于其他不同规格的机床。为了帮助操作人员优化加工参数以提高能效，开发了基于加工参数和铣削刀具磨损的刀尖切削比能量预测模型，该模型独立于机床待机功率和主轴空载功率. 然后，通过干磨 AISI 1045 钢实验验证了所提出模型的预测精度。最后，研究了加工参数和刀具磨损对刀尖切削比能的影响。开发的模型独立于机器组件，因此它可以揭示加工参数和刀具磨损对刀尖切削比能的影响。刀尖切削比能随着切削深度、侧切深度、进给量和切削速度的增加而降低，而随着刀具逐渐磨损而线性增加。研究结果有助于在各种铣床上制定高效节能的加工方案。