Process analysis and tool wear monitoring with spindle motor power and current signals in longitudinal and face turning

Sangil Han , Emilie Viéville , Mehmet Cici , Thierry André , Frédéric Valiorgue , Joël Rech
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引用次数: 0

Abstract

This study presents process analysis and tool wear monitoring using spindle motor power and current signals in longitudinal and face turning. To achieve these tasks, longitudinal and face turnings with different levels of flank wear (new, VB150, VB300) were performed. In longitudinal turning, two workpieces with different diameters (Ø80 and Ø45 mm) were used. In face turning, two feed directions (uphill and downhill) were attempted. The spindle motor power, current and speed, as well as cutting forces were recorded in real time during turning. In longitudinal turning, the spindle motor power was found to be sensitive to the level of flank wear, which can be used for tool wear monitoring. Reliable cutting force prediction from spindle motor power (air cutting power + net cutting power) is also shown. In face turning, the tool exit time in the spindle motor power signal was found to be sensitive to tool geometry changes due to wear, suggesting that it can be used for tool wear monitoring. The spindle motor current and speed signals for all turning cases are also analyzed. The influence of the corresponding three-phase spindle motor connections (star and delta) on tool wear monitoring is discussed.
利用主轴电机功率和电流信号进行纵向和端面车削过程分析和刀具磨损监测
本研究利用主轴电机功率和电流信号进行纵向和端面车削过程分析和刀具磨损监测。为了完成这些任务,进行了不同侧面磨损水平(新,VB150, VB300)的纵向和面转向。在纵向车削中,使用了两种不同直径的工件(Ø80和Ø45 mm)。在转弯时,尝试了上坡和下坡两个进给方向。在车削过程中实时记录主轴电机功率、电流、转速以及切削力。在纵向车削过程中,主轴电机功率对刀面磨损程度敏感,可用于刀具磨损监测。通过主轴电机功率(气切功率+净切功率)预测出可靠的切削力。在端面车削过程中,主轴电机功率信号中的刀具退出时间对刀具几何形状的磨损变化较为敏感,可用于刀具磨损监测。分析了各种车削工况下的主轴电机电流和转速信号。讨论了相应的三相主轴电机连接(星型和三角型)对刀具磨损监测的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.80
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