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TZID:Europe/Berlin
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DTSTART:20211031T030000Z
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DTSTART:20260114T092135Z
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UID:28-27
DTSTAMP:20261011T092135Z
SUMMARY:LLLS #8: Using Physics-Informed Machine Learning to Optimize 3D Pri
 nting Processes
LOCATION:
ORGANIZER;CN=SCADS:MAILTO:webmaster@puls13.com
DTSTART;TZID=Europe/Berlin:20220303T110000
DTEND;TZID=Europe/Berlin:20220303T120000
X-ALT-DESC;FMTTYPE=TEXT/HTML:The lecture focusses on the development of phy
 sics-informed neural networks for intelligent real-time modeling and simul
 ation of temperature processes in additive manufacturing. The resulting di
 gital twin can be used to efficiently predict component quality deficienci
 es and optimize 3D printing processes. In particular\, cost and working ti
 me can be reduced.
CATEGORIES:Living Lab
URL;VALUE=URI:https://scads.ai/calendar/llls-8-using-physics-informed-machi
 ne-learning-to-optimize-3d-printing-processes/
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