Evolving temperature distributions during metal cutting are of major significance. Present analytical models are not capable to predict temperature fields to a sufficient degree. This lack of model validity is caused by the limited mathematical approaches. The present thesis deals with the development of methodologies for thermal modeling based on a class of complex functions termed potential functions. This approach has never been used before for metal cutting applications.

Evolving temperature distributions during metal cutting are of major significance. Present analytical models are not capable to predict temperature fields to a sufficient degree. This lack of model validity is caused by the limited mathematical approaches. The present thesis deals with the development of methodologies for thermal modeling based on a class of complex functions termed potential functions. This approach has never been used before for metal cutting applications.