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Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology

When using selective laser sintering to print parts with thin-walled structures, the thermal action of the laser can cause thermal stresses that lead to plastic deformation, resulting in large warpage and dimensional deviations. To address this issue, this study proposes a bottom support method for...

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Autores principales: Sun, Tianai, Guo, Yanling, Li, Jian, Guo, Yifan, Zhang, Xinyue, Wang, Yangwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342441/
https://www.ncbi.nlm.nih.gov/pubmed/37444956
http://dx.doi.org/10.3390/ma16134644
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author Sun, Tianai
Guo, Yanling
Li, Jian
Guo, Yifan
Zhang, Xinyue
Wang, Yangwei
author_facet Sun, Tianai
Guo, Yanling
Li, Jian
Guo, Yifan
Zhang, Xinyue
Wang, Yangwei
author_sort Sun, Tianai
collection PubMed
description When using selective laser sintering to print parts with thin-walled structures, the thermal action of the laser can cause thermal stresses that lead to plastic deformation, resulting in large warpage and dimensional deviations. To address this issue, this study proposes a bottom support method for selective laser sintering. The impact of lattice-type, concentric-type, and cross-type support structures with varying filling densities and thicknesses on the suppression of warpage and dimensional errors was investigated. The optimal process parameters for each support structure were then determined through optimization. The findings of this study demonstrated a reduction in Z-axis dimensional errors of the workpiece following the addition of supports. The reduction amounted to 33.809%, 86.160%, and 66.214%, respectively, compared to the original workpiece. Moreover, the corresponding warpage was reduced by 35.673%, 46.189%, and 46.059% for each respective case, showcasing an improvement in the printing precision. Therefore, the bottom support effectively reduces dimensional and shape errors in thin-walled parts printed by selective laser sintering. Specifically, the results obtained indicated that the concentric type of support is more effective in reducing dimensional errors and enhancing the shape accuracy of the printed workpiece. Conversely, the cross type of support demonstrated superior capabilities in minimizing the consumption of printing materials while still delivering satisfactory results. Thus, this study holds promise for contributing to the advancement of thin-walled part quality using selective laser sintering technology. This research can contribute to achieving greater accuracy in the fabrication of parts through 3D printing.
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spelling pubmed-103424412023-07-14 Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology Sun, Tianai Guo, Yanling Li, Jian Guo, Yifan Zhang, Xinyue Wang, Yangwei Materials (Basel) Article When using selective laser sintering to print parts with thin-walled structures, the thermal action of the laser can cause thermal stresses that lead to plastic deformation, resulting in large warpage and dimensional deviations. To address this issue, this study proposes a bottom support method for selective laser sintering. The impact of lattice-type, concentric-type, and cross-type support structures with varying filling densities and thicknesses on the suppression of warpage and dimensional errors was investigated. The optimal process parameters for each support structure were then determined through optimization. The findings of this study demonstrated a reduction in Z-axis dimensional errors of the workpiece following the addition of supports. The reduction amounted to 33.809%, 86.160%, and 66.214%, respectively, compared to the original workpiece. Moreover, the corresponding warpage was reduced by 35.673%, 46.189%, and 46.059% for each respective case, showcasing an improvement in the printing precision. Therefore, the bottom support effectively reduces dimensional and shape errors in thin-walled parts printed by selective laser sintering. Specifically, the results obtained indicated that the concentric type of support is more effective in reducing dimensional errors and enhancing the shape accuracy of the printed workpiece. Conversely, the cross type of support demonstrated superior capabilities in minimizing the consumption of printing materials while still delivering satisfactory results. Thus, this study holds promise for contributing to the advancement of thin-walled part quality using selective laser sintering technology. This research can contribute to achieving greater accuracy in the fabrication of parts through 3D printing. MDPI 2023-06-27 /pmc/articles/PMC10342441/ /pubmed/37444956 http://dx.doi.org/10.3390/ma16134644 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
Sun, Tianai
Guo, Yanling
Li, Jian
Guo, Yifan
Zhang, Xinyue
Wang, Yangwei
Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology
title Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology
title_full Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology
title_fullStr Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology
title_full_unstemmed Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology
title_short Study of Biomass Composite Workpiece Support Structure Based on Selective Laser Sintering Technology
title_sort study of biomass composite workpiece support structure based on selective laser sintering technology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342441/
https://www.ncbi.nlm.nih.gov/pubmed/37444956
http://dx.doi.org/10.3390/ma16134644
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