Optimization of machining parameters of GFRP pipes using evolutionary techniques

被引：10
|
作者：
Sait, Abdullah Naveen [1 ]
机构：
[1] Chendhuran Coll Engn & Technol, Dept Mech Engn, Pudukkottai 622507, India
来源：
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | 2010年 / 11卷 / 06期
关键词：
GFRP; Machining; Taguchi; Design of Experiments; PSO; GA; FIBER-REINFORCED-PLASTICS; DESIGN OPTIMIZATION; GENETIC ALGORITHM; HAND-LAY; COMPOSITES; MACHINABILITY; SURFACE; DIAMOND; TOOLS;
D O I：
10.1007/s12541-010-0108-y
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Near net shaped components of GFRP materials are obtained only through machining. This work is an attempt to optimize the machining parameters of GFRP pipes by evolutionary techniques. GFRP pipes made by both hand lay up as well as filament wound process are considered. Experiments were conducted based on taguchi's technique and a combined objective is formed based on assumed weightage for individual parameters to minimize surface roughness, machining force and tool wear. In this paper the experimentally collected data are optimized through Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The results are analyzed and also compared with the traditional optimization technique.
引用
收藏
页码：891 / 900
页数：10
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