Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density

The optimum selection of process parameters, materials, and product design is essential to achieve the desired response of 3D-printed structures, especially in functional components. The current practices of the experimental optimization process require significant resources, which can be limited th...

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Main Authors: Ans Al Rashid, Muammer Koç
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Results in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123022005308
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author Ans Al Rashid
Muammer Koç
author_facet Ans Al Rashid
Muammer Koç
author_sort Ans Al Rashid
collection DOAJ
description The optimum selection of process parameters, materials, and product design is essential to achieve the desired response of 3D-printed structures, especially in functional components. The current practices of the experimental optimization process require significant resources, which can be limited through numerical modeling and simulation techniques. In this study, a thermomechanical numerical model is used to predict the performance of the additive manufacturing (AM) process, i.e., fused filament fabrication (FFF). 3D printing (3DP) process simulations were performed for tensile testing coupons using carbon fiber-reinforced polyamide-6 (PA6-CF) material. The numerical model predicted the effect of infill patterns and densities on the deflections and distortions during the FFF process. The numerical model predictions were validated via experiments performed under similar conditions. The results conclude that the numerical model can adequately predict the process-induced deflections and distortions during the FFF process. Generally, higher dimensional control was observed for rectangular infill patterns and increased infill density. However, the numerical model overestimates the shrinkage as the stress-relaxation effect is not considered in the numerical model and underestimates the warpages as perfect build plate adhesion is assumed.
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spelling doaj.art-ac2c791530f143a4b6a911e2acc533de2023-01-05T04:32:37ZengElsevierResults in Engineering2590-12302023-03-0117100860Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & densityAns Al Rashid0Muammer Koç1Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar; Corresponding author.Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar; Faculty of Engineering, University of Karabük, Karabük 78050, TurkeyThe optimum selection of process parameters, materials, and product design is essential to achieve the desired response of 3D-printed structures, especially in functional components. The current practices of the experimental optimization process require significant resources, which can be limited through numerical modeling and simulation techniques. In this study, a thermomechanical numerical model is used to predict the performance of the additive manufacturing (AM) process, i.e., fused filament fabrication (FFF). 3D printing (3DP) process simulations were performed for tensile testing coupons using carbon fiber-reinforced polyamide-6 (PA6-CF) material. The numerical model predicted the effect of infill patterns and densities on the deflections and distortions during the FFF process. The numerical model predictions were validated via experiments performed under similar conditions. The results conclude that the numerical model can adequately predict the process-induced deflections and distortions during the FFF process. Generally, higher dimensional control was observed for rectangular infill patterns and increased infill density. However, the numerical model overestimates the shrinkage as the stress-relaxation effect is not considered in the numerical model and underestimates the warpages as perfect build plate adhesion is assumed.http://www.sciencedirect.com/science/article/pii/S2590123022005308Fused filament fabricationProcess simulationDimensional analysisPolymer compositesWarpage
spellingShingle Ans Al Rashid
Muammer Koç
Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
Results in Engineering
Fused filament fabrication
Process simulation
Dimensional analysis
Polymer composites
Warpage
title Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
title_full Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
title_fullStr Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
title_full_unstemmed Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
title_short Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
title_sort experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process effect of infill design amp density
topic Fused filament fabrication
Process simulation
Dimensional analysis
Polymer composites
Warpage
url http://www.sciencedirect.com/science/article/pii/S2590123022005308
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