Recent progress of chatter prediction, detection and suppression in milling

Abstract

Abstract Machining chatter has been studied by scholars over the past decades, since chatter has a significant impact on surface quality and productivity. Researchers have carried out extensive research on offline chatter prediction, online chatter detection, and chatter suppression. However, these studies have not been comprehensively reviewed. Especially with the development of intelligent manufacturing (IM), some new requirements for research on chatter have already been put forward. Hence, it is crucial to conduct a systematic review of chatter, focusing on regenerative chatter and mode coupling chatter. This paper presents a critical review from the three areas and a detailed summary of each section can be found at the end of this section. Furthermore, the current research issues in three areas and overall are proposed. In response to these problems, four directions for future research are presented: (1) integrating the chatter prediction, detection and suppression units into a smart machine tool or smart spindle; (2) high speed and real-time wireless transmission with high sample rate; (3) advanced real-time data processing and decision-making methods; (4) integrated chatter monitoring system involving the thin-walled parts with the complex surface.