Automatic Monitoring of Tool Wear and Breakage in Drilling and Milling.

被引：0
|
作者：
Heisel, U.
机构：
来源：
Werkstatt und Betrieb | 1981年 / 114卷 / 08期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The possibility of cutting tool monitoring is a decisive prerequisite for further automation of manufacturing processes. Special sensor bearings can be used for covering measured values proportional to the components of metal cutting forces. They enable detection of tool wear and breakage, cutting edge chipping, and initiation of cutting problems, even in small tools. The signals can be utilized for machine shutdown.
引用
收藏
页码：523 / 525
相关论文
共 50 条
  • [21] Tool wear monitoring of micro-milling operations
    Malekian, Mohammad
    Park, Simon S.
    Jun, Martin B. G.
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (10) : 4903 - 4914
  • [22] aZIBO shape descriptor for monitoring tool wear in milling
    Garcia-Ordas, M. T.
    Alegre, E.
    Gonzalez-Castro, V.
    Garcia-Olalla, O.
    Barreiro, J.
    Fernandez-Abia, A. I.
    MESIC MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE 2015, 2015, 132 : 958 - 965
  • [23] The milling tool wear monitoring using the acoustic spectrum
    C. S. Ai
    Y. J. Sun
    G. W. He
    X. B. Ze
    W. Li
    K. Mao
    The International Journal of Advanced Manufacturing Technology, 2012, 61 : 457 - 463
  • [24] A cutting power model for tool wear monitoring in milling
    Shao, H
    Wang, HL
    Zhao, XM
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2004, 44 (14): : 1503 - 1509
  • [25] Tool wear monitoring in milling operations: Preliminary results
    Castillo, MS
    Langari, R
    Malave, CO
    6TH INDUSTRIAL ENGINEERING RESEARCH CONFERENCE PROCEEDINGS: (IERC), 1997, : 467 - 470
  • [26] The milling tool wear monitoring using the acoustic spectrum
    Ai, C. S.
    Sun, Y. J.
    He, G. W.
    Ze, X. B.
    Li, W.
    Mao, K.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 61 (5-8): : 457 - 463
  • [27] TOOL WEAR MONITORING IN DRILLING USING FORCE SIGNALS
    LIN, SC
    TING, CJ
    WEAR, 1995, 180 (1-2) : 53 - 60
  • [28] ACWGAN-GP for milling tool breakage monitoring with imbalanced data
    Li, Xuebing
    Yue, Caixu
    Liu, Xianli
    Zhou, Jiaqi
    Wang, Lihui
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2024, 85
  • [29] Cutting tool condition monitoring using eigenfacesTool wear monitoring in milling
    Wolfgang König
    Hans-Christian Möhring
    Production Engineering, 2022, 16 : 753 - 768
  • [30] Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation
    Duo, Aitor
    Basagoiti, Rosa
    Arrazola, Pedro J.
    Cuesta, Mikel
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2022, 35 (02) : 203 - 227
12345