Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid

This work investigates real-time monitoring of extrusion-induced degradation in different grades of PLA across a range of process conditions and machine set-ups. Data on machine settings together with in-process sensor data, including temperature, pressure, and near-infrared (NIR) spectra, are used...

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Detalles Bibliográficos
Autores principales: Munir, Nimra, McMorrow, Ross, Mulrennan, Konrad, Whitaker, Darren, McLoone, Seán, Kellomäki, Minna, Talvitie, Elina, Lyyra, Inari, McAfee, Marion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489772/
https://www.ncbi.nlm.nih.gov/pubmed/37688192
http://dx.doi.org/10.3390/polym15173566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489772/
https://www.ncbi.nlm.nih.gov/pubmed/37688192
http://dx.doi.org/10.3390/polym15173566

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