Prediction, detection, and suppression of regenerative chatter in milling

Abstract

In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life. The academic research on chatter mainly focuses on three directions: chatter prediction, real-time detecting, and chatter suppression. With the continuous development of machining toward intelligence, the hot spots and trends of chatter research are also constantly changing. Therefore, an in-depth and systematic summary of the current situation of chatter research is urgently needed. On this basis, it is of great significance to realize the prediction of the hot spots and trends of chatter research. This article summarizes the research status from three aspects of chatter prediction, detecting and suppression, and points out the advantages and limitations of current chatter research. After in-depth discussion, this article also looks forward to the trend of chatter research. The hot spots of chatter research will focus on the following points: (1) Chatter research methods and means based on data-driven. (2) Integrated data collection, processing and decision-making methods. (3) Chatter detecting unit and chatter suppression unit are integrated in the smart spindle. (4) The chatter mechanism and detecting research of robot milling.

Optimization Method of Sheet Metal Laser Cutting Process Parameters under Heat Influence

“…With advancements in industrial capabilities and manufacturing standards, higher requirements have been placed on the quality and diversity of sheet metal processing. Traditional cutting methods such as tool cutting and plasma cutting are associated with issues such as tool vibration [1,2] and tool wear and generate significant noise during the machining process. These drawbacks are contrary to the principles of green and sustainable development.…”