engleski

Analysis of Variance for Aluminium Alloy Surface Roughness Data

With the main aim of studying the effects of three input variables, namely depth of cut a, feed rate f and spindle speed n as well as their interactions on the output response (the arithmetic average of the roughness profile Ra) of face-milled aluminium alloy, the analysis of variance for experimental data was performed. The experimental results were obtained from a full factorial design with three factors at four levels with two replicates (43×2). This experimental design was previously used for the generation of the fuzzy inference system to predict and control the surface roughness using the adaptive neuro-fuzzy inference system (ANFIS). In the present study, the obtained experimental data were statistically analysed. The results indicate that the depth of cut and feed rate are statistically significant. A linear two-factor interaction between the feed rate and the depth of cut is also significant, i.e., varying the feed rate does not have the same effect on the surface roughness at different levels of the depth of cut and vice versa.

Aluminium alloy; Analysis of variance; Factorial design; Surface roughness

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