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
Link To Document :
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