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

<p dir="ltr">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 resou...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ans Al Rashid (14777050) (author)
مؤلفون آخرون: Muammer Koç (8350053) (author)
منشور في: 2023
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الوسوم: إضافة وسم
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author Ans Al Rashid (14777050)
author2 Muammer Koç (8350053)
author2_role author
author_facet Ans Al Rashid (14777050)
Muammer Koç (8350053)
author_role author
dc.creator.none.fl_str_mv Ans Al Rashid (14777050)
Muammer Koç (8350053)
dc.date.none.fl_str_mv 2023-03-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.rineng.2022.100860
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Experimental_validation_of_numerical_model_for_thermomechanical_performance_of_material_extrusion_additive_manufacturing_process_Effect_of_infill_design_density/24474640
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Manufacturing engineering
Materials engineering
Mechanical engineering
Fused filament fabrication
Process simulation
Dimensional analysis
Polymer composites
Warpage
dc.title.none.fl_str_mv Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Results in Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.rineng.2022.100860" target="_blank">https://dx.doi.org/10.1016/j.rineng.2022.100860</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.1016/j.rineng.2022.100860
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/24474640
publishDate 2023
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spelling Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & densityAns Al Rashid (14777050)Muammer Koç (8350053)EngineeringManufacturing engineeringMaterials engineeringMechanical engineeringFused filament fabricationProcess simulationDimensional analysisPolymer compositesWarpage<p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Results in Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.rineng.2022.100860" target="_blank">https://dx.doi.org/10.1016/j.rineng.2022.100860</a></p>2023-03-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.rineng.2022.100860https://figshare.com/articles/journal_contribution/Experimental_validation_of_numerical_model_for_thermomechanical_performance_of_material_extrusion_additive_manufacturing_process_Effect_of_infill_design_density/24474640CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/244746402023-03-01T00:00:00Z
spellingShingle Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density
Ans Al Rashid (14777050)
Engineering
Manufacturing engineering
Materials engineering
Mechanical engineering
Fused filament fabrication
Process simulation
Dimensional analysis
Polymer composites
Warpage
status_str publishedVersion
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 & density
topic Engineering
Manufacturing engineering
Materials engineering
Mechanical engineering
Fused filament fabrication
Process simulation
Dimensional analysis
Polymer composites
Warpage