Transactions of Nanjing University of Aeronautics & Astronautics
Prediction Model for Net Cutting Specific Energy in CNC Turning
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Abstract:
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.
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Clc Number:
TH162
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