The vibration signal weighted by the cutting parameters for tool wear detection of milling machine

The quality of the workpiece and the productivity of the manufacturing is interrelated to the tool condition. However, during the milling process, great differences of the vibration signals are caused by different cutting parameters, which lead to the difficulty of tool wear monitoring. Combining the synchronized numerical control code simulation and vibration signals, a weighting method based on cutting parameters is proposed to improve the distinction between the fresh tool and worn tool. The experiments were designed on a milling machine to collect vibration signals under different cutting parameters and tool conditions. The results demonstrate that this method is conducive to the judgment of tool wear when the cutting parameters change.