MiCLAD as a platform for real-time monitoring and machine learning in laser metal deposition

Onderzoeksoutput: Conference paper

Samenvatting

The MiCLAD machine designed at the VUB, Belgium, allows for closed-loop controlled laser metal deposition including various in-situ optical based measurement systems. These integrated sensors collect information on deposition geometry and temperature during the building process. Hence, each cubic millimeter of material that is either added or removed is mapped to its digital twin with a millisecond temporal resolution in the machines database. This paper introduces the platform and its capabilities by focusing on the procedure of obtaining the necessary training data for the future application of machine learning algorithms, with the goal of controlling the geometry and temperature history during additive manufacturing.
Originele taal-2English
Titel11th CIRP Conference on Photonic Technologies [LANE 2020]
Plaats van productieErlangen
UitgeverijElsevier
Pagina's456-461
Aantal pagina's6
Volume94
DOI's
StatusPublished - 16 sep 2020
EvenementLANE 2020: 11th CIRP Conference on Photonic Technologies - Virtual edition, Erlangen, Germany
Duur: 7 sep 202010 okt 2020
https://www.lane-conference.org/

Publicatie series

NaamProcedia CIRP
UitgeverijElsevier
ISSN van geprinte versie2212-8271

Conference

ConferenceLANE 2020
LandGermany
StadErlangen
Periode7/09/2010/10/20
Internet adres

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