Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing

Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing

3D printing of assistive devices requires optimization of material selection, raw materials formulas, and complex printing processes that have to balance a high number of variable but highly correlated variables. The performance of patient-specific 3D printed solutions is still limited by both the i...

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Bibliographic Details
Main Authors: Izabela Rojek, Dariusz Mikołajewski, Piotr Kotlarz, Krzysztof Tyburek, Jakub Kopowski, Ewa Dostatni
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Materials
Subjects:
3D printing
material
process optimization
artificial neural network
deep learning
Online Access:https://www.mdpi.com/1996-1944/14/24/7625

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