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
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