Optimization of Turning Process By Using Taguchi Method

Abstract

In this study, AISI 1040 steel is machined on CNC lathes. Taguchi L16 ortogonal array was used as experimental design. Experiments were carried out with selected the three cutting parameters. These parameters were determined as feed rate, cutting speed and cutting depth. Turning operation was carried out in dry conditions with diamond cutting tools. At the end of experiments, the values of surface roughness (Rz) on samples were found. Signal/Noise (S/N) rates were found with using the Taguchi method. According to the results, feed rate had the most significant effect on Rz among three factors. In ANOVA analysis, respectively feed rate, cutting depth and cutting speed are effective at 95% confidence level at Rz value. In repetition experiments carried out for parameters chosen in Taguchi prediction, it was identified that Taguchi works with nearly 94% accuracy.