Recognition of wear condition of micro milling tool based on length fractal dimension

被引:0
|
作者
Wang, Zhiqiang [1 ,2 ]
Gong, Hu [2 ]
Fang, Fengzhou [2 ]
Liu, Bing [2 ]
机构
[1] The Information Engineering Institute, Tianjin University of Technology and Education, Tianjin,300222, China
[2] Centre of Micro Nano Manufacturing Technology, Tianjin,300457, China
关键词
D O I
10.16450/j.cnki.issn.1004-6801.2016.03.030
中图分类号
学科分类号
摘要
17
引用
收藏
页码:592 / 597
相关论文
共 50 条
  • [1] Detection of wear condition of micro milling cutters based on length fractal dimension
    Wang, Zhiqiang
    Zhang, Guiying
    Liu, Bin
    [J]. APPLIED DECISIONS IN AREA OF MECHANICAL ENGINEERING AND INDUSTRIAL MANUFACTURING, 2014, 577 : 697 - +
  • [2] Condition Monitoring of Milling Tool Wear Based on Fractal Dimension of Vibration Signals
    Xu, Chuangwen
    Chen, Hualing
    Liu, Zhe
    Cheng, Zhongwen
    [J]. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 2009, 55 (01): : 15 - 25
  • [3] Fractal analysis of vibration signals for monitoring the condition of milling tool wear
    Xu Chuangwen
    Hualing, C.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY, 2009, 223 (J6) : 909 - 918
  • [4] Research on Tool Wear Based on Texture Fractal Dimension
    Chen Mao-jun
    Ni Zhong-jin
    Fang Liang
    [J]. MECHANICAL, MATERIALS AND MANUFACTURING ENGINEERING, PTS 1-3, 2011, 66-68 : 1163 - 1166
  • [5] Tool Wear Condition Monitoring in Milling Process Based on Current Sensors
    Zhou, Yuqing
    Sun, Weifang
    [J]. IEEE ACCESS, 2020, 8 : 95491 - 95502
  • [6] Tool Flank Wear Recognition Based on the Variation of Milling Force Vector in End Milling
    Hou, Yongfeng
    Zhang, Dinghua
    Luo, Ming
    Wu, Baohai
    [J]. 2014 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2014, : 1622 - 1627
  • [7] Intelligent recognition of tool wear in milling based on a single sensor signal
    Peng, Yezhen
    Song, Qinghua
    Wang, Runqiong
    Liu, Zhanqiang
    Liu, Zhaojun
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (3-4): : 1077 - 1093
  • [8] Intelligent recognition of tool wear in milling based on a single sensor signal
    Peng, Yezhen
    Song, Qinghua
    Wang, Runqiong
    Liu, Zhanqiang
    Liu, Zhaojun
    [J]. International Journal of Advanced Manufacturing Technology, 2023, 124 (3-4): : 1077 - 1093
  • [9] Intelligent recognition of tool wear in milling based on a single sensor signal
    Yezhen Peng
    Qinghua Song
    Runqiong Wang
    Zhanqiang Liu
    Zhaojun Liu
    [J]. The International Journal of Advanced Manufacturing Technology, 2023, 124 : 1077 - 1093
  • [10] A tool wear condition monitoring approach for end milling based on numerical simulation
    Zhu, Qinsong
    Sun, Weifang
    Zhou, Yuqing
    Gao, Chen
    [J]. Eksploatacja i Niezawodnosc, 2021, 23 (02) : 371 - 380