Direct modeling of the elastic properties of single 3D printed composite filaments using X-ray computed tomography images segmented by neural networks

This study introduces a new method for creating accurate microscale finite element (FE) models of 3D printed composites. The approach involves utilizing conventional micro-computed tomography (micro-CT) and neural network algorithms and is applied to single 3D printed composite filaments that are re...

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Bibliographische Detailangaben

Veröffentlicht in:	Additive manufacturing Jg. 76; S. 103786
Hauptverfasser:	Polyzos, E., Nikolaou, C., Polyzos, D., Van Hemelrijck, D., Pyl, L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 25.08.2023
Schlagworte:	3D printed composites Homogenization Micro-computed tomography Neural network algorithms YOLOv7 Homogenization 3D printed composites Neural network algorithms Micro-computed tomography YOLOv7
ISSN:	2214-8604, 2214-7810
Online-Zugang:	Volltext
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