Optimization of Process Parameters with Minimum Surface Roughness in the Pocket Machining of AA5083 Aluminum Alloy via Taguchi Method

This paper aims at determining the effects of process parameters (cutting speed, feed rate, tool path pattern and depth of cut) on surface roughness and the factor levels with minimum surface roughness in pocket machining. The experiments conducted based on Taguchi’s L27 orthogonal array are assessed with analysis of variance and signal-to-noise ratio. According to this, it is observed that surface roughness correlates negatively with cutting speed and positively with feed rate and cutting depth. Minimum surface roughness is predicted as 0.5413 μm with the cutting speed of 300 m/min, feed rate of 150 mm/min, spiral tool path pattern and 1 mm depth of cut. Finally, confirmation tests verify that Taguchi method achieves the optimization of the system with sufficient accuracy at 95 % confidence level.

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