• DocumentCode
    54500
  • Title

    Milling Force Modeling of Worn Tool and Tool Flank Wear Recognition in End Milling

  • Author

    Yongfeng Hou ; Dinghua Zhang ; Baohai Wu ; Ming Luo

  • Author_Institution
    Key Lab. of Contemporary Design & Integrated Manuf. TechnologyMinistry of Educ., Northwestern Polytech. Univ., Xi´an, China
  • Volume
    20
  • Issue
    3
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    1024
  • Lastpage
    1035
  • Abstract
    The wear state of a cutting tool is an important factor which affects machining quality. Therefore, monitoring tool wear is extremely essential to ensure workpiece quality and improve tool life. This paper models the milling forces of a worn tool and proposes a recognition method of milling tool wear state based on the influence relationships between the milling force features and tool wear. In the milling force model, the friction effect force and the shearing force are treated separately, and the friction stress distribution on tool flank is described. Then the force model is calibrated and verified through experiments. In the tool wear recognition method, the relationship between the milling force feature vector and tool wear is investigated. On this basis, the tool flank wear recognition method is proposed. A tool wear experiment is performed using superalloy material. In the experiment, the recognition results are expressed in confidence intervals which can represent the recognized tool wear more effectively and accurately. Finally, the scheme of tool flank wear online monitoring is proposed.
  • Keywords
    friction; internal stresses; machine tools; milling; shearing; stress effects; superalloys; vectors; wear; end milling; friction effect force; friction stress distribution; machining quality; milling force vector; shearing force; superalloy material; tool flank wear recognition; Force; Friction; Materials; Milling; Presses; Shearing; Stress; Friction effect force; milling force feature vector; milling force modeling; model calibration; tool wear recognition;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/TMECH.2014.2363166
  • Filename
    6965588