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C5.4 - From Thermographic In-situ Monitoring to Porosity Detection - A Deep Learning Framework for Quality Control in Laser Powder Bed Fusion

Bibliographic Data

ID5955652
AuthorsStephen F Oster, S Oster, Nils Scheuschner, Khan Chand, Philipp Peter Breese (0000-0001-9205-0053), P Breese, Thorsten Hermann Becker (0000-0002-4089-3574), T Becker, Simon J Altenburg (0000-0001-6037-4037), S Altenburg, F Heinrichsdorff
Year2023
Pages179-180
Publication date2023-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueLectures (BOOK_SERIES)
Journal identifiersISSN: 2116-5289 • E-ISSN: 2116-5289
PublisherOpenEdition Journals (PUBLISHER)
DOI10.5162/smsi2023/c5.4
OpenAlexW4382026395
LanguageEN

Composite material · Fusion · In situ · Laser · Optics · Porosity · Quality (philosophy · Additive Manufacturing Materials and Processes · Chemistry · Computer Science · Materials Science · Artificial Intelligence

Citation velocityhistorical
Highly citedNo

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Open DOIOpen Access
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