Affiliation:
1. Lehrstuhl für Fertigungstechnik und Betriebsorganisation (FBK), RPTU Kaiserslautern ; Postfach 3049 , Kaiserslautern ; Germany
2. AWP an der RPTU Kaiserslautern Germany
Abstract
Abstract
Compared to uncoated tools, coated tools offer a longer tool life. However, it is difficult to predict the wear of coated tools using only empirical methods. The combination of deterministic whitebox models and data-driven blackbox models to greybox models can enable a prediction of the wear condition. Therefore, this article presents a concept for the application of greybox models for wear prediction.