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Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing

Digital light processing (DLP) as a vat photopolymerization technique is one of the most popular three-dimensional (3D) printing methods, where chains are formed between liquid photocurable resin molecules to crosslink them and solidify the liquid resin using ultraviolet light. The DLP technique is...

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Autores principales: Moghadasi, Hesam, Mollah, Md Tusher, Marla, Deepak, Saffari, Hamid, Spangenberg, Jon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255172/
https://www.ncbi.nlm.nih.gov/pubmed/37299258
http://dx.doi.org/10.3390/polym15112459
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author Moghadasi, Hesam
Mollah, Md Tusher
Marla, Deepak
Saffari, Hamid
Spangenberg, Jon
author_facet Moghadasi, Hesam
Mollah, Md Tusher
Marla, Deepak
Saffari, Hamid
Spangenberg, Jon
author_sort Moghadasi, Hesam
collection PubMed
description Digital light processing (DLP) as a vat photopolymerization technique is one of the most popular three-dimensional (3D) printing methods, where chains are formed between liquid photocurable resin molecules to crosslink them and solidify the liquid resin using ultraviolet light. The DLP technique is inherently complex and the part accuracy depends on the process parameters that have to be chosen based on the fluid (resin) properties. In the present work, computational fluid dynamics (CFD) simulations are presented for top-down DLP as photocuring 3D printing. The effects of fluid viscosity, travelling speed of build part, travelling speed ratio (ratio of the up-to-down traveling speeds of build part), printed layer thickness, and travel distance considering 13 various cases are scrutinized by the developed model to obtain a stability time of fluid interface. The stability time describes the time it takes for the fluid interface to show minimum fluctuations. According to the simulations, a higher viscosity leads to prints with higher stability time. However, lower stability times in the printed layers are caused by a higher traveling speed ratio (TSR). The variation in settling times with TSR is extremely small in comparison to that of viscosity and travelling speed variations. As a result, a declining trend can be detected for the stability time by increasing the printed layer thickness, while by enhancing the travel distance values, the stability time demonstrated a descending pattern. In total, it was revealed that it is essential to choose optimal process parameters for achieving practical results. Moreover, the numerical model can assist in the optimizing the process parameters.
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spelling pubmed-102551722023-06-10 Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing Moghadasi, Hesam Mollah, Md Tusher Marla, Deepak Saffari, Hamid Spangenberg, Jon Polymers (Basel) Article Digital light processing (DLP) as a vat photopolymerization technique is one of the most popular three-dimensional (3D) printing methods, where chains are formed between liquid photocurable resin molecules to crosslink them and solidify the liquid resin using ultraviolet light. The DLP technique is inherently complex and the part accuracy depends on the process parameters that have to be chosen based on the fluid (resin) properties. In the present work, computational fluid dynamics (CFD) simulations are presented for top-down DLP as photocuring 3D printing. The effects of fluid viscosity, travelling speed of build part, travelling speed ratio (ratio of the up-to-down traveling speeds of build part), printed layer thickness, and travel distance considering 13 various cases are scrutinized by the developed model to obtain a stability time of fluid interface. The stability time describes the time it takes for the fluid interface to show minimum fluctuations. According to the simulations, a higher viscosity leads to prints with higher stability time. However, lower stability times in the printed layers are caused by a higher traveling speed ratio (TSR). The variation in settling times with TSR is extremely small in comparison to that of viscosity and travelling speed variations. As a result, a declining trend can be detected for the stability time by increasing the printed layer thickness, while by enhancing the travel distance values, the stability time demonstrated a descending pattern. In total, it was revealed that it is essential to choose optimal process parameters for achieving practical results. Moreover, the numerical model can assist in the optimizing the process parameters. MDPI 2023-05-26 /pmc/articles/PMC10255172/ /pubmed/37299258 http://dx.doi.org/10.3390/polym15112459 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moghadasi, Hesam
Mollah, Md Tusher
Marla, Deepak
Saffari, Hamid
Spangenberg, Jon
Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing
title Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing
title_full Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing
title_fullStr Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing
title_full_unstemmed Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing
title_short Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing
title_sort computational fluid dynamics modeling of top-down digital light processing additive manufacturing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255172/
https://www.ncbi.nlm.nih.gov/pubmed/37299258
http://dx.doi.org/10.3390/polym15112459
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