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Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue
A topology optimization approach is proposed for the design of self-supporting structures for digital light projector (DLP) 3D printing. This method accounts for the adhesion forces between the print part and the resin base during DLP printing to avoid failure of the part due to stress concentration...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490026/ https://www.ncbi.nlm.nih.gov/pubmed/37688201 http://dx.doi.org/10.3390/polym15173573 |
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author | Wang, Jun Liu, Jikai Li, Lei |
author_facet | Wang, Jun Liu, Jikai Li, Lei |
author_sort | Wang, Jun |
collection | PubMed |
description | A topology optimization approach is proposed for the design of self-supporting structures for digital light projector (DLP) 3D printing. This method accounts for the adhesion forces between the print part and the resin base during DLP printing to avoid failure of the part due to stress concentration and weak connections. Specifically, the effect of the process-related adhesion forces is first simulated by developing a design variable-interpolated finite element model to capture the intricate mechanical behavior during DLP 3D printing. Guided by the process model, a stress-constrained topology optimization algorithm is formulated with both the SIMP and RAMP interpolation schemes. The interpolations on the stress term and the design-dependent adhesion load are carefully investigated. A sensitivity result on the P-norm stress constraint is fully developed. Finally, the approach is applied to several 2D benchmark examples to validate its efficacy in controlling the process-caused peak P-norm stresses. The effects of alternating between the SIMP and RAMP interpolations and changing the stress upper limits are carefully explored during the numerical trials. Moreover, 3D printing tests are performed to validate the improvement in printability when involving the process-related P-norm stress constraint. |
format | Online Article Text |
id | pubmed-10490026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104900262023-09-09 Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue Wang, Jun Liu, Jikai Li, Lei Polymers (Basel) Article A topology optimization approach is proposed for the design of self-supporting structures for digital light projector (DLP) 3D printing. This method accounts for the adhesion forces between the print part and the resin base during DLP printing to avoid failure of the part due to stress concentration and weak connections. Specifically, the effect of the process-related adhesion forces is first simulated by developing a design variable-interpolated finite element model to capture the intricate mechanical behavior during DLP 3D printing. Guided by the process model, a stress-constrained topology optimization algorithm is formulated with both the SIMP and RAMP interpolation schemes. The interpolations on the stress term and the design-dependent adhesion load are carefully investigated. A sensitivity result on the P-norm stress constraint is fully developed. Finally, the approach is applied to several 2D benchmark examples to validate its efficacy in controlling the process-caused peak P-norm stresses. The effects of alternating between the SIMP and RAMP interpolations and changing the stress upper limits are carefully explored during the numerical trials. Moreover, 3D printing tests are performed to validate the improvement in printability when involving the process-related P-norm stress constraint. MDPI 2023-08-28 /pmc/articles/PMC10490026/ /pubmed/37688201 http://dx.doi.org/10.3390/polym15173573 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 Wang, Jun Liu, Jikai Li, Lei Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue |
title | Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue |
title_full | Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue |
title_fullStr | Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue |
title_full_unstemmed | Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue |
title_short | Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue |
title_sort | topology optimization for digital light projector additive manufacturing addressing the in-situ structural strength issue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490026/ https://www.ncbi.nlm.nih.gov/pubmed/37688201 http://dx.doi.org/10.3390/polym15173573 |
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