학술논문

Optimization of Drilling Characteristics for AI / SiCp , Composites Using Fuzzy / GA
Document Type
Article
Source
Metals and Materials International (MMI). Apr 01, 2002 8(2):163
Subject
metal matrix composites
drilling
optimization
fuzzy logic
genetic algorithms
Language
Korean
English
ISSN
1598-9623
Abstract
In this paper an attempt has been made to optimize the drilling characteristics for Al/SiCp composites using fuzzy logic and genetic algorithms (GA). The drilling characteristics studied were drill wear, specific energy and surface roughness. The parameters considered for the study include volume fraction of SiC in the aluminium matrix, cutting speed and feed rate. The experimental data was trained and simulated using fuzzy logic and optimization of cutting conditions were performed using genetic algorithms. The optimized cutting conditions were validated using confirmation experiments.