Master thesis : Monitoring of a 3D printing machine with Deep Learning
Doxins, Thibaut
Promotor(s) : Geurts, Pierre
Date of defense : 26-Jan-2024 • Permalink : http://hdl.handle.net/2268.2/19563
Details
Title : | Master thesis : Monitoring of a 3D printing machine with Deep Learning |
Author : | Doxins, Thibaut |
Date of defense : | 26-Jan-2024 |
Advisor(s) : | Geurts, Pierre |
Committee's member(s) : | Van Droogenbroeck, Marc
Boigelot, Bernard Deblire, Antoine |
Language : | English |
Discipline(s) : | Engineering, computing & technology > Civil engineering |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master : ingénieur civil en science des données, à finalité spécialisée |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[fr] The monitoring of powder bed from a 3D printing machine with the help of deep learning. The purpose is to be able to automatically detect a defect in the powder bed to interrupt the printing and resolve the problem.
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