A technique for fuzzy logic modeling of machining process

被引：0
|
作者：
Al-Wedyan, H [1 ]
Demirli, K [1 ]
Bhat, R [1 ]
机构：
[1] Concordia Univ, Dept Mech Engn, Montreal, PQ H3G 1M8, Canada
来源：
JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5 | 2001年
关键词：
milling; machining process; fuzzy logic; subtractive clustering; adaptive-neuro-fuzzy inference system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：3021 / 3026
页数：6
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