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Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review

Modeling and simulation of the morphology evolution of immiscible polymer blends during injection molding is crucial for predicting and tailoring the products’ performance. This paper reviews the state-of-the-art progress in the multiscale modeling and simulation of injection molding of polymer blen...

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Autores principales: Deng, Lin, Fan, Suo, Zhang, Yun, Huang, Zhigao, Zhou, Huamin, Jiang, Shaofei, Li, Jiquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588530/
https://www.ncbi.nlm.nih.gov/pubmed/34771340
http://dx.doi.org/10.3390/polym13213783
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author Deng, Lin
Fan, Suo
Zhang, Yun
Huang, Zhigao
Zhou, Huamin
Jiang, Shaofei
Li, Jiquan
author_facet Deng, Lin
Fan, Suo
Zhang, Yun
Huang, Zhigao
Zhou, Huamin
Jiang, Shaofei
Li, Jiquan
author_sort Deng, Lin
collection PubMed
description Modeling and simulation of the morphology evolution of immiscible polymer blends during injection molding is crucial for predicting and tailoring the products’ performance. This paper reviews the state-of-the-art progress in the multiscale modeling and simulation of injection molding of polymer blends. Technological development of the injection molding simulation on a macroscale was surveyed in detail. The aspects of various models for morphology evolution on a mesoscale during injection molding were discussed. The current scale-bridging strategies between macroscopic mold-filling flow and mesoscopic morphology evolution, as well as the pros and cons of the solutions, were analyzed and compared. Finally, a comprehensive summary of the above models is presented, along with the outlook for future research in this field.
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spelling pubmed-85885302021-11-13 Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review Deng, Lin Fan, Suo Zhang, Yun Huang, Zhigao Zhou, Huamin Jiang, Shaofei Li, Jiquan Polymers (Basel) Review Modeling and simulation of the morphology evolution of immiscible polymer blends during injection molding is crucial for predicting and tailoring the products’ performance. This paper reviews the state-of-the-art progress in the multiscale modeling and simulation of injection molding of polymer blends. Technological development of the injection molding simulation on a macroscale was surveyed in detail. The aspects of various models for morphology evolution on a mesoscale during injection molding were discussed. The current scale-bridging strategies between macroscopic mold-filling flow and mesoscopic morphology evolution, as well as the pros and cons of the solutions, were analyzed and compared. Finally, a comprehensive summary of the above models is presented, along with the outlook for future research in this field. MDPI 2021-10-31 /pmc/articles/PMC8588530/ /pubmed/34771340 http://dx.doi.org/10.3390/polym13213783 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 Review
Deng, Lin
Fan, Suo
Zhang, Yun
Huang, Zhigao
Zhou, Huamin
Jiang, Shaofei
Li, Jiquan
Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review
title Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review
title_full Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review
title_fullStr Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review
title_full_unstemmed Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review
title_short Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review
title_sort multiscale modeling and simulation of polymer blends in injection molding: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588530/
https://www.ncbi.nlm.nih.gov/pubmed/34771340
http://dx.doi.org/10.3390/polym13213783
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