Experimental design and performance analysis when using the flank milling to machine the thin wall of aluminum alloy

Abstract

This study was performed by using the flank milling process to
machine the thin wall of aluminum alloy. Using Taguchi method and
ANOVA analysis, the effects of milling type and cutting conditions on
the surface roughness were investigated. With five controllable factors
(milling type, cutting speed, feedrate, axial depth of cut, and radial
depth of cut), the most suitable orthogonal array L18 was used and
performed with one performance measurements that is the surface
roughness. By using ANOVA analysis with the assistance of
Intercooled Stata 8.2TM software, the effect of milling type and cutting
conditions on the surface roughness was analyzed and modeled. The
most suitable regression of surface roughness was modeled with the
confidence level is 99.14%. This model was verified by experiments
with very promising results. Besides, the optimization process of
surface roughness was performed by both Taguchi method and the
ANOVA analysis with the same results.