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Deep Learning verringert den Aufwand bei der Bestimmung von Materialkennwerten in Faser-Kunststoff-Verbunden

Research output: Contribution to conferences › Presentation slides › Contributed

Contributors

Johannes Gerritzen - , Institute of Lightweight Engineering and Polymer Technology (Author)
Andreas Hornig - , Institute of Lightweight Engineering and Polymer Technology (Author)
Peter Winkler - , Department of Distributed and Data Intensive Computing (VDR) (Author)
Maik Gude - , Chair of Lightweight System Engineering and Multi-Material Design (Author)

Details

Original language	German
Publication status	Published - 16 May 2024
Peer-reviewed	No

Workshop

Title	ProKI-Thementour
Subtitle	Daten und KI unterstützen bei der Verarbeitung von Kunststoffen und Composites
Duration	16 May 2024
Website	https://www.proki-ilmenau.de/event/proki-thementour/
Degree of recognition	National event
Location	Thüringisches Institut für Textil- und Kunststoff-Forschung Rudolstadt e.V.
City	Rudolstadt
Country	Germany

External IDs

ORCID	/0000-0003-2653-7546/work/187991473
ORCID	/0000-0003-1370-064X/work/187994774
ORCID	/0000-0002-0169-8602/work/187997208

Keywords