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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...

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Detalles Bibliográficos
Autores principales: Wang, Jun, Liu, Jikai, Li, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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