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

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

References

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