Investigation on the Effect of Process Parameters on Surface Roughness in Hard Milling of SKD61 Steel using Taguchi Method and ANOVA

Surface roughness is a key indicator of the quality in metal cutting processes. This study utilizes the Taguchi method to determine the optimal machining parameters for minimizing surface roughness when machining hard steel SKD61. The investigation focuses on three primary parameters: Cutting speed, cutting depth, and feed rate, each of which is tested at three levels: Low, medium, and high. An L9 orthogonal array is used for the experimental design. ANOVA reveal that the feed rate is the most significant factor affecting surface roughness, followed by cutting depth and cutting speed. Based on the results, an optimal set of machining parameters is recommended to achieve the lowest surface roughness.