Investigation of fused deposition modeling processing parameters of 3D PLA specimens by an experimental design methodology

Ahu Çelebi

doi:10.3139/120.111334

Article

Investigation of fused deposition modeling processing parameters of 3D PLA specimens by an experimental design methodology

Ahu Çelebi

Published/Copyright: April 30, 2019

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From the journal Materials Testing Volume 61 Issue 5

Abstract

The main objective of this study is to analyze the tensile strength of PLA parts manufactured through fused filament fabrication (FFF) using a commercially available 3D printer. This study is primarily focused on the effects of the tensile strength of specimens subjected to the influence of four factors; layer thickness, fill density, raster orientation and sample structure type. A 2³3¹ mixed-level factorial design approach was used, and the individual effects of the four main factors and their interactions determined. This experimental design had been implemented for two different infills: rectilinear and honeycomb. Specimens were printed at raster orientation angles of 30 °, 60 ° and 90 ° at a fill density of 50 % and 100 %. A layer thickness of 0.15 mm and 0.05 mm was chosen for printing the specimens. The samples were tested using a standard tensile testing machine with an extensometer to determine mechanical strength characteristics such as ultimate tensile strength, maximum force and maximum elongation. The data obtained was then analyzed using Minitab 13.20 software. The results showed that 30 ° raster orientation yields the highest mechanical properties at each individual layer when compared to 60 ° and 90 °. The fill density proves to be the most influential parameter on tensile strength, followed by the sample structure type. The results also found tensile strength to directly proporionate to layer thickness. By improving the material properties through the addition of layers as observed in the results, it will be possible to provide support for software developers, mechanical designers and engineers to reduce manufacturing time, material use and costs.

∗Correspondence Address, Assistant Prof. Dr. Ahu Çelebi, Department of Metallurgical and Materials Engineering, College of Engineering, Manisa Celal Bayar University, Şehit Prof. Dr. İlhan Varank Kampüsü, 45140 Yunusemre, Manisa, Turkey, E-mail: ahu.celebi@cbu.edu.tr

Dr. Ahu Çelebi, born in 1983, studied Metalurgical and Materials Engineering at Sakarya University (SAU), Adapazarı, Turkey between 2000 and 2004. She completed her PhD thesis in 2015 at Anadolu Universty (AU) in Eskişehir, Turkey. She has been working at Celal Bayar University in Manisa, Turkey as a lecturer since 2015. The focus of her work is the additive manufacturing of materials and components for determining their properties. Since August 2018, she has been a visiting scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Melbourne, Australia.

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Published Online: 2019-04-30

Published in Print: 2019-05-02

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https://doi.org/10.3139/120.111334