Please use this identifier to cite or link to this item: https://hdl.handle.net/10953/2079
Title: Surface Quality Enhancement of Fused Deposition Modeling (FDM) Printed Samples Based on the Selection of Critical Printing Parameters
Authors: Pérez, Mercedes
Medina-Sanchez, Gustavo
García-Collado, Alberto J.
Kumar Gupta, Munish
Carou, Diego
Abstract: 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.
Issue Date: Aug-2018
Publisher: MDPI
Appears in Collections:DIMM-Artículos

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