In-process Monitoring of Tool Behavior and Tool Wear in End Milling by Use of Projection Image

被引:3
|
作者
Yoshimitsu, Shinichi [1 ]
Satonaka, Shinobu [2 ]
Kawano, Yoshihiro [1 ]
Iwamoto, Chihiro [2 ]
Zuo, Dunwen [3 ]
Yamashita, Shunichi [1 ]
机构
[1] 1460-1 Hayatocho Shinkou, Kagoshima 8995193, Japan
[2] 2-39-1, Kurokami, Kumamoto 8608555, Japan
[3] 29 Yudao St, Nanjing 210016, Peoples R China
关键词
monitoring; tool deflection; tool wear; tool behavior; projection image;
D O I
10.4028/www.scientific.net/KEM.523-524.433
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This report describes a two-dimensional monitoring system for milling machines using small-diameter tools. Small-diameter tools are used for high-speed milling, and they are indispensable for high-quality and high-productivity manufacturing. However, tool breakage occasionally occurs, and this becomes a serious problem in automated production. This study aims to develop a system for monitoring the cutting state that can prevent tool breakage. The proposed system consists of two charge-coupled device (CCD) cameras, an image processing device, a man-machine controller (MMC), and a machining center with an open computer numeric (CNC). This monitoring system is connected to the machining center by Ethernet. It enables the precise measurement of tool deflection during high-speed milling. In an experiment, we applied this system to the end milling of a steel plate under different cutting conditions, and we examined the relationship between tool deflection and the cutting conditions. In addition, we applied this monitoring system to measure tool wear, and we examined the relationship between tool deflection and tool wear. It was found that the proposed system enabled in-process monitoring of the cutting state and tool wear.
引用
收藏
页码:433 / +
页数:2
相关论文
共 50 条
  • [31] A fuzzy-nets in-process (FNIP) system for tool-breakage monitoring in end-milling operations
    Chen, JC
    Black, JT
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1997, 37 (06): : 783 - 800
  • [32] Tool Wear Condition Monitoring in Milling Process Based on Current Sensors
    Zhou, Yuqing
    Sun, Weifang
    IEEE ACCESS, 2020, 8 (08): : 95491 - 95502
  • [33] Self-adaptive tool wear monitoring system in milling process
    Matsumura, T
    Usui, E
    TRANSACTIONS OF THE NORTH AMERICAN MANUFACTURING RESEARCH INSTITUTION OF SME, VOL XXIX, 2001, 2001, : 375 - 382
  • [34] Milling Force Modeling of Worn Tool and Tool Flank Wear Recognition in End Milling
    Hou, Yongfeng
    Zhang, Dinghua
    Wu, Baohai
    Luo, Ming
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (03) : 1024 - 1035
  • [35] Cutting tool condition monitoring using eigenfaces Tool wear monitoring in milling
    Koenig, Wolfgang
    Moehring, Hans-Christian
    PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2022, 16 (06): : 753 - 768
  • [36] In-process tool wear monitoring through time series modelling and pattern recognition
    Kumar, SA
    Ravindra, HV
    Srinivasa, YG
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1997, 35 (03) : 739 - 751
  • [37] A tool wear condition monitoring approach for end milling based on numerical simulation
    Zhu Q.
    Sun W.
    Zhou Y.
    Gao C.
    Eksploatacja i Niezawodnosc, 2021, 23 (02): : 371 - 380
  • [38] A tool wear condition monitoring approach for end milling based on numerical simulation
    Zhu, Qinsong
    Sun, Weifang
    Zhou, Yuqing
    Gao, Chen
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2021, 23 (02): : 371 - 380
  • [39] Tool wear monitoring in ramp cuts in end milling using the wavelet transform
    Y. Choi
    R. Narayanaswami
    A. Chandra
    The International Journal of Advanced Manufacturing Technology, 2004, 23 : 419 - 428
  • [40] Tool wear monitoring in ramp cuts in end milling using the wavelet transform
    Choi, Y
    Narayanaswami, R
    Chandra, A
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2004, 23 (5-6): : 419 - 428