Cargando…
Acquiring Process Knowledge in Extrusion-Based Additive Manufacturing via Interpretable Machine Learning
Additive manufacturing (AM), especially the extrusion-based process, has many process parameters which influence the resulting part properties. Those parameters have complex interdependencies and are therefore difficult if not impossible to model analytically. Machine learning (ML) is a promising ap...
Autores principales: | Pelzer, Lukas, Schulze, Tobias, Buschmann, Daniel, Enslin, Chrismarie, Schmitt, Robert, Hopmann, Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490136/ https://www.ncbi.nlm.nih.gov/pubmed/37688135 http://dx.doi.org/10.3390/polym15173509 |
Ejemplares similares
-
Investigation of Recycled and Coextruded PLA Filament for Additive Manufacturing
por: Sasse, Jana, et al.
Publicado: (2022) -
Radiative Thermal Effects in Large Scale Additive Manufacturing of Polymers: Numerical and Experimental Investigations
por: Cosson, Benoît, et al.
Publicado: (2022) -
Knowledge-Based Design Algorithm for Support Reduction in Material Extrusion Additive Manufacturing
por: Ahn, Jaeseung, et al.
Publicado: (2022) -
Material Extrusion Additive Manufacturing with Polyethylene Vitrimers
por: Montoya-Ospina, Maria Camila, et al.
Publicado: (2023) -
On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion
por: Bakradze, Georgijs, et al.
Publicado: (2020)