Cargando…
Optimization of Extrusion-Based 3D Printing Process Using Neural Networks for Sustainable Development
Technological and material issues in 3D printing technologies should take into account sustainable development, use of materials, energy, emitted particles, and waste. The aim of this paper is to investigate whether the sustainability of 3D printing processes can be supported by computational intell...
Autores principales: | Rojek, Izabela, Mikołajewski, Dariusz, Macko, Marek, Szczepański, Zbigniew, Dostatni, Ewa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196833/ https://www.ncbi.nlm.nih.gov/pubmed/34067326 http://dx.doi.org/10.3390/ma14112737 |
Ejemplares similares
-
AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications
por: Rojek, Izabela, et al.
Publicado: (2020) -
Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing
por: Rojek, Izabela, et al.
Publicado: (2021) -
Reducing Waste in 3D Printing Using a Neural Network Based on an Own Elbow Exoskeleton
por: Rojek, Izabela, et al.
Publicado: (2021) -
AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm
por: Rojek, Izabela, et al.
Publicado: (2022) -
Extrusion Based 3D Printing of Sustainable Biocomposites from Biocarbon and Poly(trimethylene terephthalate)
por: Diederichs, Elizabeth, et al.
Publicado: (2021)