Analytical temperature prediction for cutting steel

The generated temperatures in cutting operations decisively control the cutting mechanics, the tool life and the process performance. Therefore, several models have been developed to predict the temperatures involved in cutting processes. However, the developed models are very complex, laborious to check, and hence impractical for industrial applications. This work proposes an analytical approach to quickly and easily estimate the temperature when cutting steel. It bases on the classical shear zone theory of Oxley and the heat balancing according to Kronenberg. Orthogonal cutting tests using cemented carbide tools and finite element cutting simulations are performed to successfully validate the developed approach.