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The main issue which limits the milling process efficiency is the emergence of the self-excited vibrations (“chatter”) during milling. The system “tool-workpiece” autooscillations lead to more rapid tool and machine units deterioration, the decrease in quality of the machined surface. The methodology of the self-excited vibrations detection during milling, which allows to choose the most favorable and efficient modes (free of “chatter”), is represented in this article. This methodology is based on the singular spectral analysis of the system acceleration signals. The methodology is tested out on the example of flat milling. The system “toolworkpiece” accelerations signals were received using the special-purpose software 3DCUT. The “map of modes” was drawn and the most favorable mode of milling were chosen as a result of the analysis of the system accelerations signals.

Vibrations reduction in milling by using singular spectral analysis