Response Ant Colony Optimization of End Milling Surface Roughness

被引：19
|
作者：
Kadirgama, K. [1 ]
Noor, M. M. [1 ]
Alla, Ahmed N. Abd [2 ]
机构：
[1] Univ Malaysia Pahang, Fac Mech Engn, Kuantan 26300, Malaysia
[2] Univ Malaysia Pahang, Fac Elect & Elect Engn, Kuantan 26300, Malaysia
来源：
SENSORS | 2010年 / 10卷 / 03期
关键词：
response surface method; ant colony; aluminium alloys; surface roughness; TAGUCHI METHOD; CUTTING PARAMETERS; DESIGN; PREDICTION; FINISH; TOOL;
D O I：
10.3390/s100302054
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Metal cutting processes are important due to increased consumer demands for quality metal cutting related products (more precise tolerances and better product surface roughness) that has driven the metal cutting industry to continuously improve quality control of metal cutting processes. This paper presents optimum surface roughness by using milling mould aluminium alloys (AA6061-T6) with Response Ant Colony Optimization (RACO). The approach is based on Response Surface Method (RSM) and Ant Colony Optimization (ACO). The main objectives to find the optimized parameters and the most dominant variables (cutting speed, feedrate, axial depth and radial depth). The first order model indicates that the feedrate is the most significant factor affecting surface roughness.
引用
收藏
页码：2054 / 2063
页数：10
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