• DocumentCode
    3382983
  • Title

    A technique for fuzzy logic modeling of machining process

  • Author

    Al-Wedyan, H. ; Demirli, K. ; Bhat, R.

  • Author_Institution
    Dept. of Mech. Eng., Concordia Univ., Montreal, Que., Canada
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    3021
  • Abstract
    Machinability is one of the important properties of a material. It is about cutting the material with maximum metal removal, in shortest time, with best surface finish while having maximum tool life. The high quality of surface finish is very important in order to face the required accuracy and marketing needs. In this paper we present a technique for modeling a machining process of Alumic-79 with 2 and 4-flutes cutting head. In this paper, optimum parameters, which are feed rate, spindle speed and depth of cut, are found for 2-flutes and 4-flutes cutting head to obtain a high quality surface finish
  • Keywords
    fuzzy logic; identification; machining; modelling; pattern clustering; Adaptive-NeuroFuzzy Inference System; Alumic-79; Sugeno modeling; fuzzy logic; machining process; milling; parametric search; subtractive clustering; Feeds; Fuzzy logic; Fuzzy systems; Machining; Magnetic heads; Milling; Rough surfaces; Surface finishing; Surface roughness; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943709
  • Filename
    943709