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  4. Condition monitoring for the Binder Jetting AM-process with machine learning approaches
 
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2020
Conference Paper
Title

Condition monitoring for the Binder Jetting AM-process with machine learning approaches

Abstract
Binder jetting is an additive manufacturing process of increasing industrial importance. The printhead performance is largely responsible for the component properties. A reliable and simple analysis tool is missing for this. This article shows the first results of the application of a measurement method based on camera images that does not require reference images.
Author(s)
Günther, Daniel  
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Pirehgalin, Mina Fahimi
TU München, Lehrstuhl für Automatisierung und Informationssysteme
Weiß, Iris
TU München, Lehrstuhl für Automatisierung und Informationssysteme
Vogel-Heuser, B.
Mainwork
IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020. Proceedings  
Conference
Conference on Industrial Cyberphysical Systems (ICPS) 2020  
DOI
10.1109/ICPS48405.2020.9274716
Language
English
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Keyword(s)
  • Zustandsüberwachung

  • Bildanalyse

  • Binder-Jetting

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