A Simulation-Data-Based Machine Learning Model for Predicting Basic Parameter Settings of the Plasticizing Process in Injection Molding

The optimal machine settings in polymer processing are usually the result of time-consuming and expensive trials. We present a workflow that allows the basic machine settings for the plasticizing process in injection molding to be determined with the help of a simulation-driven machine learning mode...

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Detalles Bibliográficos
Autores principales: Schmid, Matthias, Altmann, Dominik, Steinbichler, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401074/
https://www.ncbi.nlm.nih.gov/pubmed/34451191
http://dx.doi.org/10.3390/polym13162652

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401074/
https://www.ncbi.nlm.nih.gov/pubmed/34451191
http://dx.doi.org/10.3390/polym13162652

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