Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers

In this study, we propose to revisit the mechanical anisotropy inferred to printed ABS polymers using fused deposition modelling by combining digital image correlation (DIC), mechanical testing and finite element computation. Tensile specimens are printed using different design orientations and rast...

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Main Authors: Sofiane Guessasma, Hedi Nouri, Sofiane Belhabib
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/15/23/8382
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author Sofiane Guessasma
Hedi Nouri
Sofiane Belhabib
author_facet Sofiane Guessasma
Hedi Nouri
Sofiane Belhabib
author_sort Sofiane Guessasma
collection DOAJ
description In this study, we propose to revisit the mechanical anisotropy inferred to printed ABS polymers using fused deposition modelling by combining digital image correlation (DIC), mechanical testing and finite element computation. Tensile specimens are printed using different design orientations and raster angles. Monitoring of deformed samples is performed, and strain fields are derived for each configuration. Finite element modelling of the 3D-printed material behaviour is considered to shed more light on deformation mechanisms. Experimental results show that a heterogeneous strain field develops, leading to more significant strain localisation for samples printed with the main dimension aligned with the building direction. The optimal printing angle allowing the filament to be crossed at −45°/+45° shows the best behaviour with even larger elongation at break compared to the raw material. However, digital image correlation based on optical imaging shows that a limiting scale exists for revealing the effect of filament orientation on strain localisation. Finite element results reveal the nature of the strain localisation as related presence of porosity close to the frame and the development of asymmetrical filling within the printed structure.
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spelling doaj.art-f5c274742a334ecb8c6f9aa78ed035252023-11-24T11:27:18ZengMDPI AGMaterials1996-19442022-11-011523838210.3390/ma15238382Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of PolymersSofiane Guessasma0Hedi Nouri1Sofiane Belhabib2INRAE, BIA Research Unit, UR1268, Rue de la Géraudiere, 44316 Nantes, FranceLaboratory of Electromechanical Systems (LASEM), National Engineering School of Sfax, University of Sfax, Sfax 3038, TunisiaLaboratory GEPEA, CNRS UMR 6144, Department of Mechanical Engineering, Institute of Technology, Carquefou Campus, Nantes Université, Oniris, F-44000 Nantes, FranceIn this study, we propose to revisit the mechanical anisotropy inferred to printed ABS polymers using fused deposition modelling by combining digital image correlation (DIC), mechanical testing and finite element computation. Tensile specimens are printed using different design orientations and raster angles. Monitoring of deformed samples is performed, and strain fields are derived for each configuration. Finite element modelling of the 3D-printed material behaviour is considered to shed more light on deformation mechanisms. Experimental results show that a heterogeneous strain field develops, leading to more significant strain localisation for samples printed with the main dimension aligned with the building direction. The optimal printing angle allowing the filament to be crossed at −45°/+45° shows the best behaviour with even larger elongation at break compared to the raw material. However, digital image correlation based on optical imaging shows that a limiting scale exists for revealing the effect of filament orientation on strain localisation. Finite element results reveal the nature of the strain localisation as related presence of porosity close to the frame and the development of asymmetrical filling within the printed structure.https://www.mdpi.com/1996-1944/15/23/8382fused deposition modellingdigital image correlationacrylonitrile butadiene styrenemechanical testingprinting orientation
spellingShingle Sofiane Guessasma
Hedi Nouri
Sofiane Belhabib
Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers
Materials
fused deposition modelling
digital image correlation
acrylonitrile butadiene styrene
mechanical testing
printing orientation
title Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers
title_full Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers
title_fullStr Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers
title_full_unstemmed Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers
title_short Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers
title_sort digital image correlation and finite element computation to reveal mechanical anisotropy in 3d printing of polymers
topic fused deposition modelling
digital image correlation
acrylonitrile butadiene styrene
mechanical testing
printing orientation
url https://www.mdpi.com/1996-1944/15/23/8382
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