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...

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Detalles Bibliográficos
Autores principales: Pelzer, Lukas, Schulze, Tobias, Buschmann, Daniel, Enslin, Chrismarie, Schmitt, Robert, Hopmann, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490136/
https://www.ncbi.nlm.nih.gov/pubmed/37688135
http://dx.doi.org/10.3390/polym15173509

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