engleski

Investigation of surface roughness of aluminium alloy and brass using experimental design

In this paper, the results of surface roughness investigation for the face milling of aluminium alloy and brass using two types of cutting tools (high speed steel tool and tool with cutting inserts), have been presented. By the application of central composite design and statistical analysis of experimental data, regression models have been developed to predict the surface roughness relating to the three quantitative factors (depth of cut, feed rate and number of revolutions) and one qualitative factor (material type), for the machining with certain type of tool. Also, for each level of qualitative factor (aluminium alloy and brass), and for each tool, regression models have been developed to predict surface roughness as a function of three numerical factors. For the machining with the first type of tool a significant quadratic regression model with nonsignificant lack of fit has been developed. Statistical analysis of experimental data of machining with the second type of tool, gives the linear model with two factor interactions.

aluminium alloy; brass; surface roughness; regression model; experimental design

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