切削加工过程中颤振在线监测研究综述
收稿日期: 2022-05-31
修回日期: 2022-06-12
录用日期: 2022-07-13
网络出版日期: 2022-08-08
基金资助
湖南省创新型省份建设专项经费(2020GK2003);NFSC-浙江两化融合联合基金(U1809221);湖南省自然科学基金(2020JJ4309);湖南省自然科学联合基金(2021JJ50116)
Review on on⁃line monitoring of chatter in cutting process
Received date: 2022-05-31
Revised date: 2022-06-12
Accepted date: 2022-07-13
Online published: 2022-08-08
Supported by
Special Fund for the Construction of Hunan Innovative Province(2020GK2003);NFSC-Zhejiang Joint Foundation for the Integration of Industrialization and Informatization(U1809221);Natural Science Foundation of Hunan Province of China(2020JJ4309);Municipal Joint Fund for Natural Science of Hunan Provincial(2021JJ50116)
李益文 , 邓朝晖 , 刘涛 , 卓荣锦 , 李重阳 , 吕黎曙 . 切削加工过程中颤振在线监测研究综述[J]. 航空学报, 2023 , 44(11) : 27562 -027562 . DOI: 10.7527/S1000-6893.2022.27562
Chatter is a widespread problem in aerospace manufacturing and other fields. In-depth research on on-line monitoring of chatter in cutting process is of great significance to further improve the suppression effect of chatter and ensure the stable operation of machining system. According to the real-time and accuracy requirements of the chatter online monitoring, this paper focuses on data acquisition, online feature extraction, and chatter recognition. Firstly, the characteristics of three kinds of chatter data acquisition methods are summarized, and then the application of chatter features and the key factors affecting chatter feature extraction are elaborated and analyzed. Later, the characteristics of chatter recognition techniques based on the supervised and unsupervised learning are compared and summarized. Finally, problems existed in the current on-line chatter monitoring and the development trend in the future are discussed, which can provide reference for the research of on-line chatter monitoring in the future.
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