Experimental and simulated datasets

The surface quality of the machined samples was effectively employed as a criterion for monitoring cutting tool deterioration of Al2O3+TiC and TiN+AlCrN tool inserts. The experimental dataset includes surface roughness of the machined samples after turning operation for different cutting speeds and feed rates with different cutting times (5, 15, 30, 45, 60 and 75 min). The format of dataset was .xlsx Microsoft® Excel file as shown in Table 1.
The format of dataset of Ra versus cutting time by varying cutting speeds and the dataset of Ra versus cutting time by varying feed rates during turning workpiece samples using both tool inserts was .mpj Minitab® files as shown in Fig. 2 and Fig. 3.
Monte Carlo simulation was used to assess the effects of cutting speed and feed rate on tool life by generating 10,000 simulated values from normal distribution. Based on tool life equations for both tool inserts, tool life values were generated by varying cutting speeds below (-10% and -5%) and above (5% and 10%) the cutting speed of 220 m/min while keeping the feed rate constant at 0.06 mm/rev. Similarly, tool life values were generated by varying feed rates below (-10% and -5%) and above (5% and 10%) the feed rate of 0.06 mm/rev while keeping the cutting speed constant at 220 m/min. The format of all simulated datasets was .mpj Minitab® files as shown in Figs. 4-7.