Empirical surface roughness monitoring and cutting tool change procedure

被引:0
|
作者
Wayne State Univ, Detroit, United States [1 ]
机构
来源
Key Eng Mat | / 593-608期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] The impact of tool material and cutting parameters on surface roughness of a nickel-base superalloy
    Darwish, SM
    MATERIALS AND MANUFACTURING PROCESSES, 1997, 12 (06) : 1017 - 1035
  • [42] The impact of the tool material and the cutting parameters on surface roughness of supermet 718 nickel superalloy
    Darwish, SM
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 97 (1-3) : 10 - 18
  • [43] Cutting tool condition monitoring by analyzing surface roughness, work piece vibration and volume of metal removed for AISI 1040 steel in boring
    Rao, K. Venkata
    Murthy, B. S. N.
    Rao, N. Mohan
    MEASUREMENT, 2013, 46 (10) : 4075 - 4084
  • [44] Constant surface roughness over tool-lifetime due to online process monitoring and cutting parameter adaption in turning of gear steel
    Uhlmann E.
    Holznagel T.
    Berardi P.
    International Journal of Sustainable Manufacturing, 2020, 4 (2-4) : 251 - 265
  • [45] Research on Tool Cutting Monitoring System Based on Cutting Force and Workpiece Surface Image Texture
    Wang, Peng
    Xin, Jinglei
    Li, Jixiang
    Yin, Shiwei
    E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY VII, PTS 1 AND 2, 2009, 16-19 : 960 - 964
  • [46] Cutting tool wear monitoring
    Madl, Jan
    Martinovsky, Michal
    Manufacturing Technology, 2015, 15 (03): : 380 - 384
  • [47] Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
    SHEHZAD Adeel
    RUI XiaoTing
    DING YuanYuan
    ZHANG JianShu
    CHANG Yu
    LU HanJing
    CHEN YiHeng
    Science China(Technological Sciences), 2024, 67 (05) : 1482 - 1497
  • [48] Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
    Shehzad, Adeel
    Rui, Xiaoting
    Ding, Yuanyuan
    Zhang, Jianshu
    Chang, Yu
    Lu, Hanjing
    Chen, Yiheng
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2024, 67 (05) : 1482 - 1497
  • [49] ADVANCED PREDICTION OF SURFACE ROUGHNESS BY MONITORING OF DYNAMIC CUTTING FORCES IN CNC TURNING PROCESS
    Tangjitsitcharoen, Somkiat
    MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2, 2013, 239-240 : 661 - 669
  • [50] In-Process Prediction of Surface Roughness in Grinding Process by Monitoring of Cutting Force Ratio
    Thammasing, Vichaya
    Tangjitsitcharoen, Somkiat
    ADVANCED DEVELOPMENT IN INDUSTRY AND APPLIED MECHANICS, 2014, 627 : 29 - 34