Numerical and experimental analysis of infill rate on the mechanical properties of fused deposition modelling polylactic acid parts

Övgü Yaǧiz Çiçek, Atakan Altinkaynak, Efe Can Balta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Material characterization of 3D printed PLA parts with different infill rates was performed by standard tensile tests. Three-dimensional finite element simulations of the tensile tests were also performed. For the simulations, a method for reconstructing the CAD model of the printed parts with different infill rates was proposed and numerical simulations were conducted on the reconstructed models. A reasonable prediction of the experiments in terms of material behavior and the stress-strain characteristics for infill rate of 100% is obtained from the numerical analysis. Discrepancies between the numerical predictions and experimental results especially in the plastic deformation region for other infill rates are discussed in the paper.

Original languageEnglish
Title of host publication75th Annual Technical Conference and Exhibition of the Society of Plastics Engineers, SPE ANTEC Anaheim 2017
PublisherSociety of Plastics Engineers
Pages75-81
Number of pages7
ISBN (Electronic)9780878493609
ISBN (Print)978-0-692-88309-9
Publication statusPublished - 2017
Event75th Annual Technical Conference and Exhibition of the Society of Plastics Engineers, SPE ANTEC Anaheim 2017 - Anaheim, United States
Duration: 8 May 201710 May 2017

Publication series

NameAnnual Technical Conference - ANTEC, Conference Proceedings
Volume2017-May

Conference

Conference75th Annual Technical Conference and Exhibition of the Society of Plastics Engineers, SPE ANTEC Anaheim 2017
Country/TerritoryUnited States
CityAnaheim
Period8/05/1710/05/17

Fingerprint

Dive into the research topics of 'Numerical and experimental analysis of infill rate on the mechanical properties of fused deposition modelling polylactic acid parts'. Together they form a unique fingerprint.

Cite this