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A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends

The morphology of polymer blends plays a critical role in determining the properties of the blends and performance of resulting injection-molded parts. However, it is currently impossible to predict the morphology evolution during injection molding and the final micro-structure of the molded parts,...

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Autores principales: Deng, Lin, Fan, Suo, Zhang, Yun, Huang, Zhigao, Jiang, Shaofei, Li, Jiquan, Zhou, Huamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795296/
https://www.ncbi.nlm.nih.gov/pubmed/33396929
http://dx.doi.org/10.3390/polym13010133
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author Deng, Lin
Fan, Suo
Zhang, Yun
Huang, Zhigao
Jiang, Shaofei
Li, Jiquan
Zhou, Huamin
author_facet Deng, Lin
Fan, Suo
Zhang, Yun
Huang, Zhigao
Jiang, Shaofei
Li, Jiquan
Zhou, Huamin
author_sort Deng, Lin
collection PubMed
description The morphology of polymer blends plays a critical role in determining the properties of the blends and performance of resulting injection-molded parts. However, it is currently impossible to predict the morphology evolution during injection molding and the final micro-structure of the molded parts, as the existing models for the morphology evolution of polymer blends are still limited to a few simple flow fields. To fill this gap, this paper proposed a novel model for droplet morphology evolution during the mold filling process of polymer blends by coupling the models on macro- and meso-scales. The proposed model was verified by the injection molding experiment of PP/POE blends. The predicted curve of mold cavity pressure during filling process agreed precisely with the data of the corresponding pressure sensors. On the other hand, the model successfully tracked the moving trajectory and simulated morphology evolution of the droplets during the mold-filling process. After mold-filling ended, the simulation results of the final morphology of the droplets were consistent with the observations of the scanning electron microscope (SEM) experiment. Moreover, this study revealed the underlying mechanism of the droplet morphology evolution through the force analysis on the droplet. It is validated that the present model is a qualified tool for simulating the morphology evolution of polymer blends during injection molding and predicting the final microstructure of the products.
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spelling pubmed-77952962021-01-10 A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends Deng, Lin Fan, Suo Zhang, Yun Huang, Zhigao Jiang, Shaofei Li, Jiquan Zhou, Huamin Polymers (Basel) Article The morphology of polymer blends plays a critical role in determining the properties of the blends and performance of resulting injection-molded parts. However, it is currently impossible to predict the morphology evolution during injection molding and the final micro-structure of the molded parts, as the existing models for the morphology evolution of polymer blends are still limited to a few simple flow fields. To fill this gap, this paper proposed a novel model for droplet morphology evolution during the mold filling process of polymer blends by coupling the models on macro- and meso-scales. The proposed model was verified by the injection molding experiment of PP/POE blends. The predicted curve of mold cavity pressure during filling process agreed precisely with the data of the corresponding pressure sensors. On the other hand, the model successfully tracked the moving trajectory and simulated morphology evolution of the droplets during the mold-filling process. After mold-filling ended, the simulation results of the final morphology of the droplets were consistent with the observations of the scanning electron microscope (SEM) experiment. Moreover, this study revealed the underlying mechanism of the droplet morphology evolution through the force analysis on the droplet. It is validated that the present model is a qualified tool for simulating the morphology evolution of polymer blends during injection molding and predicting the final microstructure of the products. MDPI 2020-12-30 /pmc/articles/PMC7795296/ /pubmed/33396929 http://dx.doi.org/10.3390/polym13010133 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
Deng, Lin
Fan, Suo
Zhang, Yun
Huang, Zhigao
Jiang, Shaofei
Li, Jiquan
Zhou, Huamin
A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends
title A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends
title_full A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends
title_fullStr A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends
title_full_unstemmed A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends
title_short A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends
title_sort novel multiscale methodology for simulating droplet morphology evolution during injection molding of polymer blends
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795296/
https://www.ncbi.nlm.nih.gov/pubmed/33396929
http://dx.doi.org/10.3390/polym13010133
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