Grey-Taguchi method to optimize the milling parameters of aluminum alloy

被引：113
|
作者：
Tsao, C. C. [1 ]
机构：
[1] Tahua Inst Technol, Dept Automat Engn, Hsinchu 30740, Taiwan
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2009年 / 40卷 / 1-2期
关键词：
End mill; Aluminum alloy; Grey-Taguchi method; Grey relational analysis; Analysis of variance; MULTIPLE PERFORMANCE-CHARACTERISTICS; RELATIONAL ANALYSIS; SURFACE-ROUGHNESS; TOOL WEAR; FINISH; OPERATIONS; SYSTEM; COMPOSITES; DESIGN;
D O I：
10.1007/s00170-007-1314-3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The grey-Taguchi method was adopted in this study to optimize the milling parameters of A6061P-T651 aluminum alloy with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used as the performance characteristic in the Taguchi method. Then, the optimal milling parameters are determined using the parameter design proposed by the Taguchi method. Experimental results indicate that the optimal process parameters in milling A6061P-T651 aluminum alloy can be determined effectively; the flank wear is decreased from 0.177 mm to 0.067 mm and the surface roughness is decreased from 0.44 mu m to 0.24 mu m, leading to a multiple performance characteristics improvement in milling qualities through the grey-Taguchi method.
引用
收藏
页码：41 / 48
页数：8
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