Chatter is a self-excited vibration of parts in machining systems. It is widely present across a range of cutting processes, and has an impact upon both efficiency and quality in production processing. A great deal of...Chatter is a self-excited vibration of parts in machining systems. It is widely present across a range of cutting processes, and has an impact upon both efficiency and quality in production processing. A great deal of research has been dedicated to the development of technologies that are able to predict and detect chatter. The purpose of these technologies is to facilitate the avoidance of chatter during cutting processes, which leads to better surface precision, higher productivity,and longer tool life. This paper summarizes the current state of the art in research regarding the problems of how to arrive at stable chatter prediction, chatter identification, and chatter control/-suppression, with a focus on milling processes. Particular focus is placed on the theoretical relationship between cutting chatter and process damping, tool runout, and gyroscopic effect, as well as the importance of this for chatter prediction. The paper concludes with some reflections regarding possible directions for future research in this field.展开更多
Research on dynamics and stability of machin-ing operations has attracted considerable attention. Cur-rently, most studies focus on the forward solution ofdynamics and stability in which material properties and thefre...Research on dynamics and stability of machin-ing operations has attracted considerable attention. Cur-rently, most studies focus on the forward solution ofdynamics and stability in which material properties and thefrequency response function at the tool tip are known topredict stable cutting conditions. However, the forwardsolution may fail to perform accurately in cases whereinthe aforementioned information is partially known or var-ies based on the process conditions, or could involve sev-eral uncertainties in the dynamics. Under thesecircumstances, inverse stability solutions are immenselyuseful to identify the amount of variation in the effectivedamping or stiffness acting on the machining system. Inthis paper, the inverse stability solutions and their use forsuch purposes are discussed through relevant examples andcase studies. Specific areas include identification of processdamping at low cutting speeds and variations in spindledynamics at high rotational speeds.展开更多
基金supported by Projects of International Cooperation and Exchanges NSFC (51720105009)the National Natural Science Foundation of China (No. 51575147)the Youth Talent Support Program of Harbin University of Science and Technology (201507)
文摘Chatter is a self-excited vibration of parts in machining systems. It is widely present across a range of cutting processes, and has an impact upon both efficiency and quality in production processing. A great deal of research has been dedicated to the development of technologies that are able to predict and detect chatter. The purpose of these technologies is to facilitate the avoidance of chatter during cutting processes, which leads to better surface precision, higher productivity,and longer tool life. This paper summarizes the current state of the art in research regarding the problems of how to arrive at stable chatter prediction, chatter identification, and chatter control/-suppression, with a focus on milling processes. Particular focus is placed on the theoretical relationship between cutting chatter and process damping, tool runout, and gyroscopic effect, as well as the importance of this for chatter prediction. The paper concludes with some reflections regarding possible directions for future research in this field.
文摘Research on dynamics and stability of machin-ing operations has attracted considerable attention. Cur-rently, most studies focus on the forward solution ofdynamics and stability in which material properties and thefrequency response function at the tool tip are known topredict stable cutting conditions. However, the forwardsolution may fail to perform accurately in cases whereinthe aforementioned information is partially known or var-ies based on the process conditions, or could involve sev-eral uncertainties in the dynamics. Under thesecircumstances, inverse stability solutions are immenselyuseful to identify the amount of variation in the effectivedamping or stiffness acting on the machining system. Inthis paper, the inverse stability solutions and their use forsuch purposes are discussed through relevant examples andcase studies. Specific areas include identification of processdamping at low cutting speeds and variations in spindledynamics at high rotational speeds.
