Improve surface roughness in turning operation based on the factorial design methodology

Abstract

This paper outlined the factorial design methodology, which is applied to improve the surface roughness in turning operation by optimizing the turning parameters. Researchers were interested in investigating the effect of cutting parameters (feed rate, spindle speed, depth of cut), tool geometry parameters (tool nose radius, tool rake angle), and coolant condition in a single experiment using a fractional factorial design approach. The results indicate that feed rate and tool nose radius were the most influential factors which effect on surface roughness of turning operation. The confirmation runs with optimal levels of parameters results also verify the results obtained from fractional factorial experiment.