Analysis of Q -factor’s identification ability for thin-walled part flank and mirror milling chatter

摘要: Due to its relatively high gravity material removal, the thin-walled part machining would go through a complex process, from stable unstable and/or reverse repeatedly. As result, monitored signals generally exhibit full-oscillatory behaviors, which require that chatter indicators should meet dynamic conditions. However, conventional indicators, including time domain and time-frequency could only capture state mutation point in continuous process. In this paper, novel indicator, Q-factors, is proposed for detection. The relationship between Q-factor signal oscillatory behavior illustrated perspective of signal’s frequency characteristics tool-workpiece system’s response. Chatter indicator’s identification ability flank mirror milling analyzed, i.e., express state, sensibility change chatter-related information inclusion. It can be indicated as multi-dimensional used identify component quantify level simultaneously. value exhibits obvious difference state. at place where changes will supply more useful effective following prediction suppression before completely developed.