Auto-identification of dynamic axis models in machine tools

In metal-cutting manufacturing, ever smaller lot sizes lead to frequent changes in machining processes. For this, monitoring solutions help with
setup and process optimization to achieve high quality and productivity at lower costs. For example, cutting forces may be monitored indirectly
based on available data, like motor currents. However, this requires exact models of the individual dynamic behavior of machine axes. The
determination of such models is time-consuming and cost-intensive. This paper presents an approach for the automatic identification of
dynamic axis models, thus enabling an efficient deployment of force monitoring to a wide range of existing machines.