Use of Data Mining Techniques for the Prediction of Surface Roughness of Printed Parts in Polylactic Acid (PLA) by Fused Deposition Modeling (FDM): A Practical Application in Frame Glasses Manufacturing

In the present work, ten data mining algorithms have been used to generate models capable of predicting the surface roughness of parts printed on polylactic acid (PLA) by using fused deposition modeling (FDM). The models have been trained using experimental data measured on 27 horizontal (XY) and 27...

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Detalles Bibliográficos
Autores principales: Molero, Esther, Fernández, Juan Jesús, Rodríguez-Alabanda, Oscar, Guerrero-Vaca, Guillermo, Romero, Pablo E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240541/
https://www.ncbi.nlm.nih.gov/pubmed/32268609
http://dx.doi.org/10.3390/polym12040840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240541/
https://www.ncbi.nlm.nih.gov/pubmed/32268609
http://dx.doi.org/10.3390/polym12040840

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