Prediction, detection, and suppression of regenerative chatter in milling

被引:7
作者
Liu, Bo [1 ]
Liu, Changfu [1 ]
Yu, Xinli [1 ]
Zhou, Yang [1 ]
Wang, Daohai [1 ]
机构
[1] Liaoning Petrochem Univ, Sch Mech Engn, 47 Zhonghua Rd, Fushun 113001, Peoples R China
关键词
Processing chatter; chatter prediction; real-time detecting; chatter suppression; data driven; CUTTING FORCE COEFFICIENTS; SPINDLE SPEED VARIATION; FREQUENCY-RESPONSE FUNCTION; MACHINE-TOOL CHATTER; STABILITY PREDICTION; DISCRETIZATION METHOD; DETECTION SYSTEM; PART; IDENTIFICATION; MITIGATION;
D O I
10.1177/16878132221129746
中图分类号
O414.1 [热力学];
学科分类号
摘要
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.
引用
收藏
页数:26
相关论文
共 147 条
  • [31] Chatter suppression analysis in milling process with variable spindle speed based on the reconstructed semi-discretization method
    Dong, Xinfeng
    Zhang, Weimin
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 105 (5-6) : 2021 - 2037
  • [32] Real-time chatter detection via iterative Vold-Kalman filter and energy entropy
    Dong, Xingjian
    Tu, Guowei
    Wang, Xiaoshan
    Chen, Shiqian
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 116 (5-6) : 2003 - 2019
  • [33] A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering
    Dun, Yichao
    Zhu, Lida
    Yan, Boling
    Wang, Shuhao
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 158
  • [34] Multi-modal method for chatter stability prediction and control in milling of thin-walled workpiece
    Dun, Yichao
    Zhu, Lida
    Wang, Shuhao
    [J]. APPLIED MATHEMATICAL MODELLING, 2020, 80 : 602 - 624
  • [35] In-process identification of modal parameters using dimensionless relationships in milling chatter
    Eynian, Mahdi
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2019, 143 : 49 - 62
  • [36] Adaptive inverse control of chatter vibrations in internal turning operations
    Fallah, M.
    Moetakef-Imani, B.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 129 (91-111) : 91 - 111
  • [37] Development of a stability intelligent control system for turning
    Frumusanu, Gabriel R.
    Constantin, Ionut C.
    Marinescu, Vasile
    Epureanu, Alexandru
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 64 (5-8) : 643 - 657
  • [38] Machining vibration states monitoring based on image representation using convolutional neural networks
    Fu, Yang
    Zhang, Yun
    Gao, Yuan
    Gao, Huang
    Mao, Ting
    Zhou, Huamin
    Li, Dequn
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2017, 65 : 240 - 251
  • [39] Timely online chatter detection in end milling process
    Fu, Yang
    Zhang, Yun
    Zhou, Huamin
    Li, Dequn
    Liu, Hongqi
    Qiao, Haiyu
    Wang, Xiaoqiang
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2016, 75 : 668 - 688
  • [40] Milling Chatter Detection System Based on Multi-Sensor Signal Fusion
    Gao, Haining
    Shen, Hongdan
    Yu, Lei
    Yinling, Wang
    Li, Rongyi
    Nazir, Babar
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (22) : 25243 - 25251