• DocumentCode
    749434
  • Title

    Fuzzy model of cutting process on a milling machine

  • Author

    Agüero, Elena ; Rodriguez, Christina ; Alique, J. Ramon ; Ros, Salvador

  • Author_Institution
    Inst. de Automatica, Univ. Nacional of San Juan, Argentina
  • Volume
    3
  • Issue
    4
  • fYear
    1994
  • Firstpage
    236
  • Lastpage
    244
  • Abstract
    A fuzzy model of the cutting process has been obtained for a vertical milling-machine, adopting a previously used technique (Sugeno-Yasukawa, 1991). The inputs are cutting speed, feed rate, depth of cut, tool diameter, and workpiece hardness, and the output is the result of the three-axis force sensing signal, working directly on the machine tool. The identification approach is a blackbox type, where only a file of I/O data is necessary to construct the model. The fuzzy model consists of a number of IF...THEN rules with fuzzy antecedents and consequents. Five fuzzy models have been generated according to the material type used. The output error and the relative output error have been used as performance indices of the fuzzy models
  • Keywords
    force control; fuzzy control; fuzzy logic; fuzzy systems; identification; machining; cutting process; cutting speed; feed rate; force sensing signal; fuzzy control; fuzzy model; identification; machine tool; tool diameter; vertical milling-machine; workpiece hardness;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems Engineering
  • Publisher
    iet
  • ISSN
    0963-9640
  • Type

    jour

  • Filename
    370484