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Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing

In the silicone material extrusion (MEX) process, product profile error and performance defects are common problems due to changes in strand shape. A process optimization method considering strand morphology, denoted as SMO, which allows adjustment of the strand shape by adjusting process parameters...

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Autores principales: Ma, Dingyifei, Tian, Xiaoqing, Wang, Shengyi, Liu, Haijun, Chen, Shan, Han, Jiang, Xia, Lian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538525/
https://www.ncbi.nlm.nih.gov/pubmed/34685334
http://dx.doi.org/10.3390/polym13203576
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author Ma, Dingyifei
Tian, Xiaoqing
Wang, Shengyi
Liu, Haijun
Chen, Shan
Han, Jiang
Xia, Lian
author_facet Ma, Dingyifei
Tian, Xiaoqing
Wang, Shengyi
Liu, Haijun
Chen, Shan
Han, Jiang
Xia, Lian
author_sort Ma, Dingyifei
collection PubMed
description In the silicone material extrusion (MEX) process, product profile error and performance defects are common problems due to changes in strand shape. A process optimization method considering strand morphology, denoted as SMO, which allows adjustment of the strand shape by adjusting process parameters during the printing process is presented. The relation between process parameters (extrusion speed, moving speed, nozzle height, and nozzle radius) and the geometric parameters (strand width and strand height) of the cross-section, as well as the relationship between strand spacing, layer height, and process parameters in no void constraint is discussed and verified. SMO was utilized to produce specimens with tunable strand width and strand height. Tensile tests and profile scans were performed to compare SMO with other methods to verify its feasibility. Specimens fabricated using the SMO method have up to a 7% increase in tensile strength, up to a 10% reduction in processing time, and about a 60% reduction in strand height error over unused ones. The results show that the SMO method with adjustable strand width can effectively balance efficiency and mechanical properties compared to uniform infill, and the SMO method with adjustable strand height can provide higher accuracy compared to uniform strand height. The proposed method is validated and improves the efficiency and accuracy of silicone MEX.
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spelling pubmed-85385252021-10-24 Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing Ma, Dingyifei Tian, Xiaoqing Wang, Shengyi Liu, Haijun Chen, Shan Han, Jiang Xia, Lian Polymers (Basel) Article In the silicone material extrusion (MEX) process, product profile error and performance defects are common problems due to changes in strand shape. A process optimization method considering strand morphology, denoted as SMO, which allows adjustment of the strand shape by adjusting process parameters during the printing process is presented. The relation between process parameters (extrusion speed, moving speed, nozzle height, and nozzle radius) and the geometric parameters (strand width and strand height) of the cross-section, as well as the relationship between strand spacing, layer height, and process parameters in no void constraint is discussed and verified. SMO was utilized to produce specimens with tunable strand width and strand height. Tensile tests and profile scans were performed to compare SMO with other methods to verify its feasibility. Specimens fabricated using the SMO method have up to a 7% increase in tensile strength, up to a 10% reduction in processing time, and about a 60% reduction in strand height error over unused ones. The results show that the SMO method with adjustable strand width can effectively balance efficiency and mechanical properties compared to uniform infill, and the SMO method with adjustable strand height can provide higher accuracy compared to uniform strand height. The proposed method is validated and improves the efficiency and accuracy of silicone MEX. MDPI 2021-10-16 /pmc/articles/PMC8538525/ /pubmed/34685334 http://dx.doi.org/10.3390/polym13203576 Text en © 2021 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
Ma, Dingyifei
Tian, Xiaoqing
Wang, Shengyi
Liu, Haijun
Chen, Shan
Han, Jiang
Xia, Lian
Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing
title Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing
title_full Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing
title_fullStr Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing
title_full_unstemmed Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing
title_short Strand-Morphology-Based Process Optimization for Extrusion-Based Silicone Additive Manufacturing
title_sort strand-morphology-based process optimization for extrusion-based silicone additive manufacturing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538525/
https://www.ncbi.nlm.nih.gov/pubmed/34685334
http://dx.doi.org/10.3390/polym13203576
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