Poster (Scientific congresses and symposiums)
Multiscale Thermomechanical Simulations of 3D Printed Materials using Deep Learning
Radermecker, Arnaud
2024SPACE4RELAUCNH PhD Day
 

Files


Full Text
PhD_day_Space4Relaunch_2024.pdf
Author postprint (16.83 MB) Creative Commons License - Attribution
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
deep learning; numerical simulation; finite element square; FE2; multiscale
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Radermecker, Arnaud  ;  Université de Liège - ULiège > Aérospatiale et Mécanique (A&M)
Language :
English
Title :
Multiscale Thermomechanical Simulations of 3D Printed Materials using Deep Learning
Original title :
[en] Thermomechanical analysis of additively manufactured alloys
Publication date :
07 February 2024
Event name :
SPACE4RELAUCNH PhD Day
Event organizer :
Service Public de Wallonie
Event place :
Louvain-La-neuve, Belgium
Event date :
07/02/2024
Event number :
1
Name of the research project :
Space4Relaunch
Funders :
SPW - Service Public de Wallonie. Economie, Emploi, Recherche
Funding number :
2210181
Available on ORBi :
since 27 May 2024

Statistics


Number of views
22 (9 by ULiège)
Number of downloads
7 (3 by ULiège)

Bibliography


Similar publications



Contact ORBi