铣削加工刀具磨损过程双谱分析

Bispectral Analysis of Cutter Wear Process in Milling Operation

双谱分析能够揭示时间序列的二次相耦合信息,特别适于铣刀磨损状态监测信号的特征抽取。通过提取铣削加工过程中机床主轴端振动加速度信号的双谱及其双相干系数,分析了铣刀后刀面渐进磨损过程双谱及其双相干系数的变化规律。研究结果表明:双谱分析提取的特征参数能够反映铣刀后刀面的渐进磨损过程,与实际铣刀磨损情况一致。

Bispectral analysis can reveal information of quadratic phase coupling of a time series and fits well the demands of characteristic extraction while on-line monitoring wear conditions of a milling cutter. In this study, based on bispectrum and bicoherence extraction of vibration acceleration signals at spindle end of a vertical machining center while milling operation, change rules of bispectrum and bicoherence of the signals were analyzed for the progressive wearing process of the flank wear land of the milling cutters. Research results showed, analysis results were consistent with the actual wearing process of the cutters, bispectral analysis can reflect the progressive wearing process of the milling cutters, and the analysis can provide theoretical basis for on-line monitoring the wear process of a milling cutter while machining operation.