Optimization of machining characteristics for Al/SiCp composites using ANN/GA

被引：0
|
作者：
Karthikeyan, R [1 ]
Adalarasan, R
Pai, BC
机构：
[1] Annamalai Univ, Dept Prod Engn, Annamalainagar 608002, India
[2] Reg Res Lab, Thiruvananthapuram, Kerala, India
来源：
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY | 2002年 / 18卷 / 01期
关键词：
Al/SiCp composites; artificial neural networks; genetic algorithms;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The present work is focused on optimization of machining characteristics of Al/SiCp composites. The machining characteristics such as specific energy, tool wear and surface roughness were studied. The parameters such as volume fraction of SiC, cutting speed and feed rate were considered. Artificial neural networks (ANN) was used to train and simulate the experimental data. Genetic algorithms (GA) was interfaced with ANN to optimize the machining conditions for the desired machining characteristics. Validation of optimized results was also performed by confirmation experiments.
引用
收藏
页码：47 / 50
页数：4
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