Molero, E.; Fernández, J.J.; RodrÃguez-Alabanda, O.; Guerrero-Vaca, G.; Romero, P.E.
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. Polymers 2020, 12, 840.
https://doi.org/10.3390/polym12040840
AMA Style
Molero E, Fernández JJ, RodrÃguez-Alabanda O, Guerrero-Vaca G, Romero PE.
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. Polymers. 2020; 12(4):840.
https://doi.org/10.3390/polym12040840
Chicago/Turabian Style
Molero, Esther, Juan Jesús Fernández, Oscar RodrÃguez-Alabanda, Guillermo Guerrero-Vaca, and Pablo E. Romero.
2020. "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" Polymers 12, no. 4: 840.
https://doi.org/10.3390/polym12040840
APA Style
Molero, E., Fernández, J. J., RodrÃguez-Alabanda, O., Guerrero-Vaca, G., & Romero, P. E.
(2020). 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. Polymers, 12(4), 840.
https://doi.org/10.3390/polym12040840