Optimization Of Machining Parameters of CNC Milling Operation for Material Removal Rate and Surface Roughness on En-24 Steel Using Taguchi Method

The significance of quality and productivity in the manufacturing industry cannot be overstated, as they directly impact profitability. To remain competitive keep pace with advancements technology, industries must continuously improve their processes to enhance products. One technology that has contributed such improvements is CNC milling machines, which have been used this study. For study, high-strength, ductile, wear-resistant steel alloy EN24 was selected for milling. Taguchi L9 orthogonal array proposal experiment select cutting parameters, a total nine operations were conducted. Rate material removal surface roughness calculated all experiments. Signal-to-noise (S/N) ratios mean values identify influencing parameter rate roughness. ANOVA technique employed calculate optimal parameters achieving better analyze influence MRR roughness, comparison made between S/N initial readings using technique. Overall, study demonstrated importance selecting appropriate procedures, can lead industry.