Grundlagen und Potenziale für Data-Mining-Anwendungen in der In-line-Messung beim Gesenkschmieden
- verfasst von
- Claudia Glaubitz, Marcel Rothgänger, Helena Monke, Eduard Ortlieb, Julius Peddinghaus, Kai Brunotte
- Abstract
Due to significant process variability in forging procedures, excess material is used to ensure product quality. This safety factor increases resource consumption and the emissions balance of forging processes. In-line imaging can help reduce this excess consumption by establishing a basis to identify correlations and interactions between quality characteristics and process parameters. Given the challenges of forging conditions, such as short cycle times and high workpiece temperatures, a robust automated solution is required. For this purpose, a sensor-controlled measuring module has been developed for a series forging process, which automatically positions the hot work-piece and captures it using a blue laser line scan. Geometries can thus be automatically detected and evaluated, with the accuracy of the system being the focus of the investigation.
- Organisationseinheit(en)
-
Institut für Umformtechnik und Umformmaschinen
- Externe Organisation(en)
-
Universität Stuttgart
- Typ
- Artikel
- Journal
- At-Automatisierungstechnik
- Band
- 73
- Seiten
- 271-280
- Anzahl der Seiten
- 10
- ISSN
- 0178-2312
- Publikationsdatum
- 28.04.2025
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Steuerungs- und Systemtechnik, Angewandte Informatik, Elektrotechnik und Elektronik
- Elektronische Version(en)
-
https://doi.org/10.1515/auto-2024-0138 (Zugang:
Geschlossen)
