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Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber

As the use of continuous fiber polymer matrix composites expands into new fields, there is a growing need for more sustainable manufacturing processes. An integrated computational material design framework has been developed, which enables the design of tailored manufacturing systems for polymer mat...

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Detalles Bibliográficos
Autores principales: Blinzler, Brina J., Khalili, Pooria, Ahlström, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503717/
https://www.ncbi.nlm.nih.gov/pubmed/32872509
http://dx.doi.org/10.3390/ma13173825
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author Blinzler, Brina J.
Khalili, Pooria
Ahlström, Johan
author_facet Blinzler, Brina J.
Khalili, Pooria
Ahlström, Johan
author_sort Blinzler, Brina J.
collection PubMed
description As the use of continuous fiber polymer matrix composites expands into new fields, there is a growing need for more sustainable manufacturing processes. An integrated computational material design framework has been developed, which enables the design of tailored manufacturing systems for polymer matrix composite materials as a sustainable alternative to achieving high-quality components in high-rate production. Trapped rubber processing achieves high pressures during polymer matrix composite processing, utilizing the thermally induced volume change of a nearly incompressible material inside a closed cavity mold. In this interdisciplinary study, the structural analysis, material science and manufacturing engineering perspectives are all combined to determine the mold mechanics, and the manufacturing process in a cohesive and iterative design loop. This study performs the coupled thermo-mechanical analysis required to simulate the transients involved in composite manufacturing and the results are compared with a previously developed test method. The internal surface pressure and temperatures are computed, compared with the experimental results, and the resulting design process is simulated. Overall, this approach maintains high-quality consolidation during curing while allowing for the possibility for custom distributions of pressures and temperatures. This can lead to more sustainable manufacturing by reducing energy consumption and improving throughput.
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spelling pubmed-75037172020-09-27 Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber Blinzler, Brina J. Khalili, Pooria Ahlström, Johan Materials (Basel) Article As the use of continuous fiber polymer matrix composites expands into new fields, there is a growing need for more sustainable manufacturing processes. An integrated computational material design framework has been developed, which enables the design of tailored manufacturing systems for polymer matrix composite materials as a sustainable alternative to achieving high-quality components in high-rate production. Trapped rubber processing achieves high pressures during polymer matrix composite processing, utilizing the thermally induced volume change of a nearly incompressible material inside a closed cavity mold. In this interdisciplinary study, the structural analysis, material science and manufacturing engineering perspectives are all combined to determine the mold mechanics, and the manufacturing process in a cohesive and iterative design loop. This study performs the coupled thermo-mechanical analysis required to simulate the transients involved in composite manufacturing and the results are compared with a previously developed test method. The internal surface pressure and temperatures are computed, compared with the experimental results, and the resulting design process is simulated. Overall, this approach maintains high-quality consolidation during curing while allowing for the possibility for custom distributions of pressures and temperatures. This can lead to more sustainable manufacturing by reducing energy consumption and improving throughput. MDPI 2020-08-29 /pmc/articles/PMC7503717/ /pubmed/32872509 http://dx.doi.org/10.3390/ma13173825 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Blinzler, Brina J.
Khalili, Pooria
Ahlström, Johan
Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber
title Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber
title_full Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber
title_fullStr Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber
title_full_unstemmed Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber
title_short Integrated Computational Material Design for PMC Manufacturing with Trapped Rubber
title_sort integrated computational material design for pmc manufacturing with trapped rubber
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503717/
https://www.ncbi.nlm.nih.gov/pubmed/32872509
http://dx.doi.org/10.3390/ma13173825
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