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Title: Evaluation Of Differences Between FEA Predictions With Geometric Variations And Tensile Tests Of Strut Specimens Of Lattice Structures Fabricated By Material Extrusion
Authors: Görgülüarslan, Recep Muhammet
Gungor O.U.
Karabiyik H.
Keywords: Additive manufacturing
Finite element analysis
Lattice structure
Material extrusion
3D printers
Tensile strength
Tensile testing
Uncertainty analysis
Diameter variation
Extrusion method
Extrusion process
Extrusion techniques
Finite element analyse
Geometric variations
Lattice structures
Material extrusion
Spatial dependencies
Finite element method
Issue Date: 2021
Publisher: American Society of Mechanical Engineers (ASME)
Source: Gorguluarslan, R. M., Gungor, O. U., & Karabiyik, H. (2021, November). Evaluation of Differences Between FEA Predictions With Geometric Variations and Tensile Tests of Strut Specimens of Lattice Structures Fabricated by Material Extrusion. In ASME International Mechanical Engineering Congress and Exposition (Vol. 85550, p. V02AT02A014). American Society of Mechanical Engineers.
Abstract: The aim of this study is to evaluate the differences between the tensile test results of individual strut members fabricated by the material extrusion process and finite element analysis (FEA) predictions of the struts modeled with the geometric variations introduced by the material extrusion method using advanced statistical methods based on the spatial dependency. For this purpose, strut member specimens with different diameter values and angles are fabricated using the material extrusion technique from PLA material. The fabricated strut specimens are examined by a digital light microscope and the measurements are done for the fabricated diameter variations. These variations are characterized using the random field method and integrated into the FEA models by using voxel elements. Tensile tests of the fabricated strut specimens at different diameters and build angles are also conducted. The reasons for the differences of FEA results from the experimental results and solutions to improve the prediction accuracy are discussed. Copyright © 2021 by ASME
Description: American Society of Mechanical Engineers (ASME)
ASME 2021 International Mechanical Engineering Congress and Exposition, IMECE 2021 -- 1 November 2021 through 5 November 2021 -- -- 176672
ISBN: 9780791885550
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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