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

Title:: Condition monitoring for the Binder Jetting AM-process with machine learning approaches
Document type:: Konferenzbeitrag
Author(s):: Günther, Daniel; FahimiPirehgalin, Mina; Weiß, Iris; Vogel-Heuser, Birgit
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.
Book / Congress title:: ICPS 2020 : IEEE International Conference on Industrial Cyber-Physical Systems
Publisher address:: Tampere, Finnland
Year:: 2020
Pages:: 417-420
Covered by:: Scopus; Web of Science
Fulltext / DOI:: doi:10.1109/ICPS48405.2020.9274716
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