Mathematical Modeling and Optimization of Milling Parameters in AA 5083 Aluminum Alloy

Year 2019, Volume: 3 Issue: 4, 159 - 163, 20.12.2019

Gökhan Başar Funda Kahraman Ganime Tuğba Önder

https://doi.org/10.26701/ems.537087

Cited By: 3

Abstract

In this study, the selection of optimal cutting
parameters for face milling of 5083 aluminum was investigated in order to
minimize the surface roughness. Effect of selected parameters on the surface
roughness was analyzed by using analysis of variance (ANOVA). The mathematical
model was developed to estimate surface roughness in face milling process by
using Response Surface Methodology (RSM). Feed, spindle speed and depth of cut
were selected as input variables. The statistical analysis indicated that feed
and spindle speed have the most considerable influence on surface roughness.
After developed mathematical model, Desirability Function Analysis (DFA) was
performed to optimize the cutting parameters. The lowest value of surface
roughness (0.41 µm) was acquired at a feed of 3008 mm/min, a spindle speed of
5981 rpm and a depth of cut of 0.54 mm.

Keywords

RSM, ANOVA, DFA, face milling

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