Physical model-based tool wear and breakage monitoring in milling process

被引:48
|
作者
Zhang, Xing [1 ]
Gao, Yang [1 ]
Guo, Zhuocheng [1 ]
Zhang, Wei [1 ]
Yin, Jia [1 ,2 ]
Zhao, Wanhua [1 ,3 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710054, Shaanxi, Peoples R China
[2] Xian Aircraft Ind Grp Co, Xian 710089, Shaanxi, Peoples R China
[3] Xi An Jiao Tong Univ, Room A404,South 1 Bldg,Qujiang Campus, Xian 710054, Shaanxi, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Tool wear; Tool breakage; Monitor; Physical model-based; Milling; ONLINE;
D O I
10.1016/j.ymssp.2022.109641
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Tool wear and breakage is one of the biggest obstacles for developing the unattended CNC machining. Especially when cutting the difficult-to-machining materials, the tool wear will be more rapid and the tool breakage becomes more frequent, which makes an effective tool wear and breakage monitoring very urgent. In the paper, a physical model-based tool wear and breakage monitoring method is proposed. Firstly, a physical model of milling force with the influence of cutter runout and tool wear is established. The spindle box vibration and cutting torque of spindle drive system induced by milling force have been clarified theoretically. Then, through the measurements of milling force, spindle box vibration and driving current, a tool wear monitoring method by extracting the comprehensive feature from the seven-channel specific cutting force coefficients (SCFCs) has been presented. In the method, a multi-parameter decoupling identifi-cation procedure for the cutter runout, tooth wear loss and respective SCFCs has been clarified. The force homogenization effect of multi-tooth with tool wear is found. Moreover, an efficient tool breakage monitoring method is further put forward, which incorporates the amplitude ratios of multi-channel data to form an indicator for judging the occurrence of tool damage. The gen-eration mechanism of the sudden distortion on signal waveform resulting from tool breakage is also explained. Finally, long-time milling experiments with multiple groups of machining pa-rameters have been carried out on the general and heavy-cutting machine tools to verify the validity of the proposed method. The verification results indicate that the tool wear and breakage monitoring method can well estimate the cutting status of cutter. The study can provide a useful research basis for the potential industrial application of tool wear and breakage monitoring technology.
引用
收藏
页数:27
相关论文
共 50 条
  • [31] Volume monitoring of the milling tool tip wear and breakage based on multi-focus image three-dimensional reconstruction
    Peng, Yeping
    Qin, Shucong
    Wang, Tao
    Hu, Yixi
    Nie, Shiping
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 126 (7-8): : 3383 - 3400
  • [32] Volume monitoring of the milling tool tip wear and breakage based on multi-focus image three-dimensional reconstruction
    Yeping Peng
    Shucong Qin
    Tao Wang
    Yixi Hu
    Shiping Nie
    The International Journal of Advanced Manufacturing Technology, 2023, 126 : 3383 - 3400
  • [33] Milling force coefficients-based tool wear monitoring for variable parameter milling
    Tianhang Pan
    Jun Zhang
    Xing Zhang
    Wanhua Zhao
    Huijie Zhang
    Bingheng Lu
    The International Journal of Advanced Manufacturing Technology, 2022, 120 : 4565 - 4580
  • [34] Milling force coefficients-based tool wear monitoring for variable parameter milling
    Pan, Tianhang
    Zhang, Jun
    Zhang, Xing
    Zhao, Wanhua
    Zhang, Huijie
    Lu, Bingheng
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 120 (7-8): : 4565 - 4580
  • [35] Adaptive modelling of the milling process and application of a neural network for tool wear monitoring
    Ko, TJ
    Cho, DW
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 1996, 12 (01): : 5 - 13
  • [36] IN-PROCESS MONITORING OF TOOL WEAR IN MILLING USING CUTTING FORCE SIGNATURE
    ELBESTAWI, MA
    PAPAZAFIRIOU, TA
    DU, RX
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1991, 31 (01): : 55 - 73
  • [37] A novel simultaneous monitoring method for surface roughness and tool wear in milling process
    Liu, Ruilin
    Tian, Wenwen
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [38] Adaptive modelling of the milling process and application of a neural network for tool wear monitoring
    Department of Mechanical Engineering, Pohang Institute of Science and Technology, PO Box 125, Pohang, Kyungbuk, 790-600, Korea, Republic of
    Int J Adv Manuf Technol, 1 (5-13):
  • [39] In-process Monitoring of Tool Behavior and Tool Wear in End Milling by Use of Projection Image
    Yoshimitsu, Shinichi
    Satonaka, Shinobu
    Kawano, Yoshihiro
    Iwamoto, Chihiro
    Zuo, Dunwen
    Yamashita, Shunichi
    EMERGING TECHNOLOGY IN PRECISION ENGINEERING XIV, 2012, 523-524 : 433 - +
  • [40] A technique for flank wear monitoring in milling machines based on the novel tool wear indicator
    Maliuk, Andrei S.
    Ahmad, Zahoor
    Kim, Jaeyoung
    Kim, Jong-Myon
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2024,