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contributor authorLyu, Jiaqi
contributor authorManoochehri, Souran
date accessioned2019-02-28T11:02:36Z
date available2019-02-28T11:02:36Z
date copyright10/5/2018 12:00:00 AM
date issued2018
identifier issn1087-1357
identifier othermanu_140_12_121012.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252031
description abstractThe dimensional accuracy of fused deposition modeling (FDM) machines is dependent on errors caused by processing parameters and machine motions. In this study, an integrated error model combining these effects is developed. Extruder temperature, layer thickness, and infill density are selected as parameters of this study for three FDM machines, namely, Flashforge Finder, Ultimaker 2 go, and XYZ da Vinci 2.0 Duo. Experiments have been conducted using Taguchi method and the interactions between processing parameters are analyzed. Based on the dimensional deviations between fabricated parts and the computer aided design (CAD) geometry, a set of coefficients for the integrated error model are calculated to characterize each machine. Based on the results of the integrated error model, the original CAD geometry is optimized for fabrication accuracy on each machine. New parts are fabricated using the optimized CAD geometries. Through comparing the dimensional deviations of parts fabricated before and after optimization, the effectiveness of the integrated error model is analyzed and demonstrated for the three FDM machines.
publisherThe American Society of Mechanical Engineers (ASME)
titleModeling Machine Motion and Process Parameter Errors for Improving Dimensional Accuracy of Fused Deposition Modeling Machines
typeJournal Paper
journal volume140
journal issue12
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4041328
journal fristpage121012
journal lastpage121012-8
treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 012
contenttypeFulltext


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