Parametric Effect and Optimization of Milling Operation of Mild Steel

This study investigates the influence of milling parameters on the material removal rate (MRR) of thick mild steel. The study employs a designed experiment to evaluate the influence of cutting speed, feed rate, and depth of cut on MRR. A total of nine milling experiments are conducted on mild steel using orthogonal array method. The study aims to identify the optimal process parameters for achieving a maximum MRR on mild steel workpieces. The value of signal to noise ratio (SNR) is used to evaluate the optimal values of milling parameters for thick mild steel. Higher-the-better type quality characteristic is used to evaluate the SNR of MRR. Further, MRR is analyzed using ANOVA method to elect the significant milling process parameters based on P-values and fisher coefficient. Depth of cut found the significant followed by feed rate and speed. The contribution of each milling process parameter is also evaluated. Depth of cut contribution is found 66% on MRR of thick mild steel