OPTIMIZATION OF FUSED DEPOSITION MODELING PROCESS PARAMETERS BY TAGUCHI METHODLOGY
Journal Title: International Journal of 3D Printing Technologies and Digital Industry - Year 2017, Vol 1, Issue 1
Abstract
In this work, an experimental design technique is presented to determine the optimum surface roughness of a partially constructed using a PolylacticAcid (PLA) filament with the Fused Deposition Modeling (FDM) process. The processing parameters are presented by investigating the effects of surface roughness considering the table temperature, nozzle temperature, printing speed, fill percentage, layer thickness. The experiments were taken out using Taguchi's three levels for each gene. It was applied statistically by ANOVA analysis to learn important factors and interactions. Granting to the solutions obtained from the ANOVA analysis, it was ascertained that the layer thickness and the raster width affect the surface quality largely. It has been decided that the raster angle is not efficient. Nevertheless, the air gap has little effect on dimensional accuracy and open character. The lateral and top mean roughness values of a three-dimensional designed part are measured. Experimental results shows that surface roughness value is different in three planes
Authors and Affiliations
Fuat KARTAL
Keywords
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- EP ID EP509863
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