Prediction modeling of power and torque in end-milling

This paper presents the development of mathematical models for torque and power in milling 618 stainless steel using coated carbide cutting tools. The response surface method was used to predict the effect of power and torque in the end-milling. From the model, the relationship between the manufacturing process factors, including the cutting speed, feed rate, axial depth and radial depth with the responses such as torque and power, can be developed. Beside the relationship, the effect of the factors can be investigated from the equation developed. It can be seen that the torque increases with a decrease of cutting speed with an increase of the feed rate, axial depth and radial depth. The acquired results also show that the power increase with an increase in cutting speed, feed rate, axial depth and radial depth. It can be found that the second order is more accurate based on the variance analysis and the predicted value is closely matched with the experimental result. Third- and fourth-order models are generated for both responses to investigate the 3- and 4-way interaction between the factors. The third- and fourth-order models show that 3- and 4-way interaction was found to be less significant for the variables.