In order to optimize the process parameters of face milling, an experiment was carried out in which three machining parameters were selected as input variables – spindle speed, axial depth of cut, and feed rate. Each parameter was varied at four levels, considering both rough and finish machining. The milling process was performed on a HURCO CNC machine, using a solid carbide end mill with four cutting edges. The experiment was conducted using the Taguchi orthogonal array L16 (4^3). The output responses of the process are the surface roughness (Ra) and the material removal rate (MRR). Process parameter optimization was carried out using the multi-criteria optimization method - Grey Relational Analysis (GRA), while the statistical significance of the parameters was examined by using ANOVA. The research established that the optimal values of MRR and Ra are obtained through the combination of the physical values of the input parameters: n = 6000 rpm, a = 2 mm, and f = 800 mm/min.
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