Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10953/2079
Título: Surface Quality Enhancement of Fused Deposition Modeling (FDM) Printed Samples Based on the Selection of Critical Printing Parameters
Autoría: Pérez, Mercedes
Medina-Sanchez, Gustavo
García-Collado, Alberto J.
Kumar Gupta, Munish
Carou, Diego
Resumen: 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.
Fecha: ago-2018
Editorial: MDPI
Aparece en las colecciones: DIMM-Artículos

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