Prediction of the position dependent dynamic behavior of a machine tool considering local damping effects

Abstract

Machine tools often show a changing dynamic behavior for different axis positions. This paper presents an approach to accurately model the position dependent dynamics, while keeping the calculation times small. The machine is divided in reduced substructures and assembled at the desired axis positions. The resulting model, which considers the local damping behavior, is coupled with friction and control models to investigate local damping effects. A comparison of the simulated dynamic behavior in different machine positions with measurements of a three-axis machine tool shows the ability to accurately predict the dynamic behavior if the local damping parameters are known.