Veuillez utiliser cette adresse pour citer ce document : https://hdl.handle.net/10953/2079
Titre: Surface Quality Enhancement of Fused Deposition Modeling (FDM) Printed Samples Based on the Selection of Critical Printing Parameters
Auteur(s): Pérez, Mercedes
Medina-Sanchez, Gustavo
García-Collado, Alberto J.
Kumar Gupta, Munish
Carou, Diego
Résumé: he present paper shows an experimental study on additive manufacturing for obtaining samples of polylactic acid (PLA). The process used for manufacturing these samples was fused deposition modeling (FDM). Little attention to the surface quality obtained in additive manufacturing processes has been paid by the research community. So, this paper aims at filling this gap. The goal of the study is the recognition of critical factors in FDM processes for reducing surface roughness. Two different types of experiments were carried out to analyze five printing parameters. The results were analyzed by means of Analysis of Variance, graphical methods, and non-parametric tests using Spearman’s ρ and Kendall’s τ correlation coefficients. The results showed how layer height and wall thickness are the most important factors for controlling surface roughness, while printing path, printing speed, and temperature showed no clear influence on surface roughness.
Date de publication: aoû-2018
Editeur: MDPI
Collection(s) :DIMM-Artículos

Fichier(s) constituant ce document :
Fichier Description TailleFormat 
materials-11-01382.pdf2,13 MBAdobe PDFVoir/Ouvrir


Ce document est protégé par copyright


Ce document est autorisé sous une licence de type Licence Creative Commons
Creative Commons