Greybox-Modelle in der Zerspanung
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.
Authors
- Eberhard Kerscher (ORCID: https://orcid.org/0000-0001-7211-1306)
- Benjamin Kirsch (ORCID: https://orcid.org/0000-0001-7602-2511)
- Maximilian Berndt (ORCID: https://orcid.org/0009-0006-2593-0302)
- J Seewig (ORCID: https://orcid.org/0000-0002-1420-1597)
- Lars Müller
- Hagen Schmidt
Institutions
- University of Kaiserslautern (DE)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- Zeitschrift für wirtschaftlichen Fabrikbetrieb
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1515/zwf-2024-1099
- Primary Topic
- Advanced machining processes and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00