ABSTRACT: Our work focuses on the optimization of cutting tool life of a CNC milling machine and end milling
operation is performed on it by using Poly Crystalline cubic Boron Nitride (PCBN) as the cutting tool material and En8
steel (HRC 46) as work piece material to predict the tool life. Data is collected from CNC milling machine which is
run by different samples of experiments using software. The input of the model consists of feed rate, cutting speed and
depth of the cut while the output from the model is the Tool life which is calculated by Taylor’s tool life equation. This
research is to test the collecting data by Taguchi method. The model is validated through a comparison of the
experimental values with their predicted counterparts. The optimization of the tool life is studied to compare the
relationship of the parameters involved. The result of the analysis shows that depth of cut was the only parameter
found to be significant. The analysis also shows that the predicted values and calculated values are very close, that
clearly indicates that the developed model can be used to reduce the cost of machining.