Identification of machine tool chatter for milling operations with runout
Detection of undesired machine tool vibrations during milling operations is an important task for manufacturing engineers. Monitoring of frequency spectra is an efficient tool of chatter detection since these spectra usually have a clear, systematic structure. However, for some special cases, stability of the cutting process cannot be assessed based purely on the frequency spectra due to the disturbing effect of the runout of the tool. In this paper, it is shown that the stability of these cases can be assessed by the analysis of the vibration signal instead of the frequency spectra. Theoretical results are confirmed by experimental cutting tests.