A review of research on robot machining chatter

被引:0
作者
Liu, Zhiwu [1 ]
Deng, Zhaohui [1 ,2 ]
Yi, Lingxiao [1 ]
Ge, Jimin [2 ]
Yang, Pengcheng [1 ]
机构
[1] Huaqiao Univ, Inst Mfg Engn, Xiamen 361021, Peoples R China
[2] Hunan Univ Sci & Technol, Coll Mech & Elect Engn, Xiangtan 411201, Peoples R China
基金
中国国家自然科学基金;
关键词
Industrial robot machining; Chatter; Stability prediction; Online monitoring; Chatter suppression; MODE-COUPLING CHATTER; STABILITY PREDICTION; FORCE CONTROL; MAGNETORHEOLOGICAL ELASTOMERS; INDUSTRIAL ROBOT; TOOL CHATTER; VIBRATION; OPTIMIZATION; STIFFNESS; SUPPRESSION;
D O I
10.1007/s00170-024-14533-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Industrial robot machining systems are used extensively in processing and manufacturing sectors including aerospace, large ships, rail transit, engineering machinery, semiconductor processing, medical equipment, and new energy vehicles. However, chatter during the machining process can considerably diminish the machining accuracy and surface quality. In severe cases, it can cause damage to the tool and the machining robot. Robot machining chatter research is required to improve the stability of the machining process for high-efficiency, high-quality robotic machining. This review comprehensively summarizes research progress in three areas: robot machining chatter mechanisms, chatter stability prediction and online monitoring, and chatter suppression strategies. First, the generation mechanisms of regenerative chattering and modal-coupling chattering are clarified. Second, the methods of chattering stability prediction and online monitoring of robot machining are summarized. The differences between passive suppression, semi-active suppression, and active suppression strategies are explained. Existing problems and future directions in robot machining chattering research are summarized and prospected.
引用
收藏
页码:49 / 79
页数:31
相关论文
共 175 条
  • [51] Industrial robotic machining: a review
    Ji, Wei
    Wang, Lihui
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 103 (1-4) : 1239 - 1255
  • [52] Research on Self-adaptive Chatter Recognition Method for Robotic Milling
    Ji Y.
    Yao L.
    [J]. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2023, 34 (18): : 2165 - 2176
  • [53] Investigation of robotic milling chatter stability prediction under different cutter orientations by an updated full-discretization method
    Ji, Yongjian
    Wang, Liyong
    Song, Yue
    Wang, Hongjun
    Liu, Zhibing
    [J]. JOURNAL OF SOUND AND VIBRATION, 2022, 536
  • [54] [籍永建 Ji Yongjian], 2021, [振动与冲击, Journal of Vibration and Shock], V40, P14
  • [55] EEMD-based online milling chatter detection by fractal dimension and power spectral entropy
    Ji, Yongjian
    Wang, Xibin
    Liu, Zhibing
    Yan, Zhenghu
    Jiao, Li
    Wang, Dongqian
    Wang, Junqing
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (1-4) : 1185 - 1200
  • [56] Jiang ZH, 2019, PROCEEDINGS OF THE IEEE 2019 9TH INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) (CIS & RAM 2019), P548, DOI [10.1109/cis-ram47153.2019.9095853, 10.1109/CIS-RAM47153.2019.9095853]
  • [57] Kaldestad KB, 2015, IEEE ASME INT C ADV, P543, DOI 10.1109/AIM.2015.7222591
  • [58] Kiefer D, 2023, 2023 28 INT C AUT CO, V79, P1, DOI [10.1109/ICAC57885.2023.10275148, DOI 10.1109/ICAC57885.2023.10275148]
  • [59] Vision-based system for chatter identification and process optimization in high-speed milling
    Lei, Norman
    Soshi, Masakazu
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 89 (9-12) : 2757 - 2769
  • [60] Chatter identification of thin-walled parts for intelligent manufacturing based on multi-signal processing
    Li, Dong-Dong
    Zhang, Wei-Min
    Li, Yuan-Shi
    Xue, Feng
    Fleischer, Juergen
    [J]. ADVANCES IN MANUFACTURING, 2021, 9 (01) : 22 - 33