TOOL WEAR MONITORING AT TURNING

被引:0
|
作者
WASCHKIES, E
SKLARCZYK, C
HEPP, K
机构
关键词
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A new method for automatic tool wear monitoring at turning has been developed based on the analysis of the continuous acoustic emission (machining noise) generated by the tool during machining. Different wear types (wear of tool flank face and tool chipping) result in changes in the different characteristic values of the noise signal. In case of a uniform abrasion of the insert, e.g., flank face or crater wear, an increased mean signal level is observed, whereas for microbreakage at the edge, an increase of the crest factor with nearly constant mean signal level is found. The burst-like signals from collision between chip and tool and from chip breakage have to be eliminated from analysis to avoid the distortion of the signal parameters of the continuous acoustic emission. This method should be well suited especially for monitoring of finishing processes (small depth of cut).
引用
收藏
页码:521 / 524
页数:4
相关论文
共 50 条
  • [31] TOOL WEAR MONITORING IN DIAMOND TURNING BY FUZZY PATTERN-RECOGNITION
    KO, TJ
    CHO, DW
    JOURNAL OF ENGINEERING FOR INDUSTRY-TRANSACTIONS OF THE ASME, 1994, 116 (02): : 225 - 232
  • [32] On-line monitoring of tool wear and control of dimensional inaccuracy in turning
    Choudhury, SK
    Jain, VK
    Krishna, SR
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2001, 123 (01): : 10 - 12
  • [33] On-line monitoring of tool wear in turning using a neural network
    Choudhury, SK
    Jain, VK
    Rao, CVVR
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1999, 39 (03): : 489 - 504
  • [34] TOOL WEAR MONITORING IN TURNING USING A PATTERN-RECOGNITION TECHNIQUE
    RAVINDRA, HV
    SRINIVASA, YG
    KRISHNAMURTHY, R
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1993, 37 (1-4) : 731 - 740
  • [35] On-line tool wear monitoring in turning using neural networks
    B. Sick
    Neural Computing & Applications, 1998, 7 : 356 - 366
  • [36] Development of in-process tool wear monitoring system for CNC turning
    Moriwaki, T
    Shibasaka, T
    Tanghtsitcharoen, S
    JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 2004, 47 (03) : 933 - 938
  • [37] Tool wear prediction in turning
    Choudhury, SK
    Srinivas, P
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 153 : 276 - 280
  • [38] Experimental Investigation to Predict Tool Wear and Vibration Displacement in Turning - A Base for Tool Condition Monitoring
    Babu, M. Prakash
    Prasad, Balla Srinivasa
    JOURNAL FOR MANUFACTURING SCIENCE AND PRODUCTION, 2016, 16 (02) : 103 - 114
  • [39] Acoustic Emission Monitoring during Turning of Metal Matrix Composite and Tool Wear
    Mukhopadhyay, C. K.
    Venugopal, S.
    Jayakumar, T.
    Nagarajan, R.
    Mannan, S. L.
    Raj, Baldev
    MATERIALS EVALUATION, 2006, 64 (03) : 323 - 330
  • [40] Intelligent monitoring and prediction of tool wear in CNC turning by utilizing wavelet transform
    Tangjitsitcharoen, Somkiat
    Lohasiriwat, Haruetai
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 99 (9-12): : 2219 - 2230