A review of machine vision sensors for tool condition monitoring

被引:325
|
作者
Kurada, S
Bradley, C
机构
关键词
machine vision; manufacturing information; cutting tool monitoring; flank wear;
D O I
10.1016/S0166-3615(96)00075-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Tool condition monitoring has gained considerable importance in the manufacturing industry over the preceding two decades, as it significantly influences the process economy and the machined part quality. Recent advances in the field of image processing technology have led to the development of various in-cycle vision sensors that can provide a direct and indirect estimate of the tool condition. These sensors are characterised by their measurement flexibility, high spatial resolution and good accuracy. This paper provides a review of the basic principle, the instrumentation and the various processing schemes involved in the development of these sensors. (C) 1997 Elsevier Science B.V.
引用
收藏
页码:55 / 72
页数:18
相关论文
共 50 条
  • [1] Application of machine vision for tool condition monitoring and tool performance optimization–a review
    Tiyamike Banda
    Ali Akhavan Farid
    Chuan Li
    Veronica Lestari Jauw
    Chin Seong Lim
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 121 : 7057 - 7086
  • [2] Application of machine vision for tool condition monitoring and tool performance optimization-a review
    Banda, Tiyamike
    Farid, Ali Akhavan
    Li, Chuan
    Jauw, Veronica Lestari
    Lim, Chin Seong
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 121 (11-12): : 7057 - 7086
  • [3] Tool Condition Monitoring in Turning by Applying Machine Vision
    Dutta, Samik
    Pal, Surjya K.
    Sen, Ranjan
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2016, 138 (05):
  • [4] Condition Monitoring of Machine Tool Feed Drives: A Review
    Butler, Quade
    Ziada, Youssef
    Stephenson, David
    Gadsden, S. Andrew
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2022, 144 (10):
  • [5] A machine vision system for micro-milling tool condition monitoring
    Dai, Yiquan
    Zhu, Kunpeng
    [J]. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2018, 52 : 183 - 191
  • [6] Monitoring Technology Research of Tool Wear Condition Based on Machine Vision
    Li, Pengyang
    Li, Yan
    Yang, Mingshun
    Zheng, Jianming
    Yuan, Qilong
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 2783 - 2787
  • [7] Machine vision monitoring of tool wear
    Wong, YS
    Yuen, WK
    Lee, KS
    Bradley, C
    [J]. SENSORS AND CONTROLS FOR INTELLIGENT MACHINING, AGILE MANUFACTURING, AND MECHATRONICS, 1998, 3518 : 17 - 24
  • [8] A model approach for in-process tool condition monitoring in CNC turning using machine vision
    Sawangsri, Worapong
    Wattanasinbumrung, Pakanun
    [J]. International Journal on Interactive Design and Manufacturing, 2022, 16 (04) : 1439 - 1456
  • [9] A model approach for in-process tool condition monitoring in CNC turning using machine vision
    Worapong Sawangsri
    Pakanun Wattanasinbumrung
    [J]. International Journal on Interactive Design and Manufacturing (IJIDeM), 2022, 16 : 1439 - 1456
  • [10] A model approach for in-process tool condition monitoring in CNC turning using machine vision
    Sawangsri, Worapong
    Wattanasinbumrung, Pakanun
    [J]. INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2022, 16 (04): : 1439 - 1456