In this study, an effort is made to use response surface methodology (RSM) and the Taguchi approach to optimize the process variables in CNC (Computed numerical control) milling of P20 steel using cryogenically treated tungsten carbide (WC) cutting tools feed rate (FR), cutting speed (CS), depth of cut (DoC), and lowering temperatures are selected as input parameters for milling of P20 steel. The machinability of P20 steel is claimed to be affected by several levels of cryogenic treatment i.e., -110 ºC, -150 ºC, and -175 ºC in this study. The most crucial performance indicators were cutting forces (CF), rate of material removal (MRR), surface roughness (Ra), tool wear rate (TWR), and power consumption (PC). RSM and Taguchi approaches were suggested to achieve the optimized results for the process’s variables. Both methods’ optimized solutions were compared and analyzed. It is seen from the comparison that there is no much deviation in results obtained from RSM and Taguchi methods. It is also observed that, Deep Cryogenically Treated (DCT) tool i.e., at -175 ºC showed better results compared with the other two tools to improve the performance measures.

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