ForschungPublikationen
Online adaption of milling parameters for a stable and productive process

Online adaption of milling parameters for a stable and productive process

Kategorien Zeitschriften/Aufsätze (reviewed)
Jahr 2021
Autoren Bergmann, B., Reimer, S.:
Veröffentlicht in CIRP Annals - Manufacturing Technology, Vol. 70 (2021), S. 341-344.
Beschreibung

On the way to fully autonomous machine tools it is essential to independently select suitable process parameters and adapt them on-the-fly to the appropriate process conditions in a self-controlled manner. Such systems require complex physical process models and are usually limited to feed and spindle speed adaption during the milling process. This paper introduces a new approach enabling machines during the milling process to learn which parameters lead to a stable process with maximum productivity and to adjust them autonomously. It is shown that this approach enables the machine tool to independently find stable process parameters with maximum productivity.

DOI 10.1016/j.cirp.2021.04.086