Výsledky vyhledávání - "Victor Klamert"

Akademický článek

Real-Time Optical Detection of Artificial Coating Defects in PBF-LB/P Using a Low-Cost Camera Solution and Convolutional Neural Networks

Autor: Victor Klamert, Timmo Achsel, Efecan Toker, Mugdim Bublin, Andreas Otto

Publikováno v: Applied Sciences, Vol 13, Iss 20, p 11273 (2023)

Additive manufacturing plays a decisive role in the field of industrial manufacturing in a wide range of application areas today. However, process monitoring, and especially the real-time detection of defects, is still an area where there is a lot of

Externí odkaz: https://doaj.org/article/09c39b4b83b74f59a9b444c9a6dea007

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Akademický článek

In Situ Analysis of Curling Defects in Powder Bed Fusion of Polyamide by Simultaneous Application of Laser Profilometry and Thermal Imaging

Autor: Victor Klamert, Lukas Schiefermair, Mugdim Bublin, Andreas Otto

Publikováno v: Applied Sciences, Vol 13, Iss 12, p 7179 (2023)

Additive manufacturing (AM) is one of the key technologies in the global manufacturing market within various application sectors. The unique capabilities of AM enable high structural and part complexity, low material waste, and benefits in productivi

Externí odkaz: https://doaj.org/article/4833007a243640839325f396602cee8e

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In Situ Analysis of Curling Defects in Powder Bed Fusion of Polyamide by Simultaneous Application of Laser Profilometry and Thermal Imaging

Autor: Otto, Victor Klamert, Lukas Schiefermair, Mugdim Bublin, Andreas

Publikováno v: Applied Sciences; Volume 13; Issue 12; Pages: 7179

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::b555b833be24c7c90f85984f11aa4450

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Procedia CIRP / A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks

Autor: Victor Klamert, Matthias Schmid-Kietreiber, Mugdim Bublin

Selective Laser Sintering (SLS) of polyamide powders is one of the most prevalent additive manufacturing (AM) processes. Failures induced by curling and other process irregularities affect mechanical properties and part quality. In order to improve c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7940aa80f8af9c3bf1a17223f934762
https://pub.fh-campuswien.ac.at/doi/10.1016/j.procir.2022.08.030

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