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Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field
Surface-functionalized polymer composites with spherical particles as fillers offer great qualities and have been widely employed in applications of sensors, pharmaceutical industries, anti-icing, and flexible electromagnetic interference shielding. The directional migration and dispersion theory of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267549/ https://www.ncbi.nlm.nih.gov/pubmed/35806755 http://dx.doi.org/10.3390/ma15134632 |
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author | Gu, Hang Qin, Guofeng Chen, Anfu Li, Mingke Huang, Dejie Peng, Zhangyuan Zhang, Jingjing Lei, Caihong |
author_facet | Gu, Hang Qin, Guofeng Chen, Anfu Li, Mingke Huang, Dejie Peng, Zhangyuan Zhang, Jingjing Lei, Caihong |
author_sort | Gu, Hang |
collection | PubMed |
description | Surface-functionalized polymer composites with spherical particles as fillers offer great qualities and have been widely employed in applications of sensors, pharmaceutical industries, anti-icing, and flexible electromagnetic interference shielding. The directional migration and dispersion theory of magnetic microparticles in polypropylene (PP)-matrix magnetic composites must be studied to better acquire the functional surface with remarkable features. In this work, a novel simulation model based on multi-physical field coupling was suggested to analyze the directed migration and distribution of magnetic ferroferric oxide (Fe(3)O(4)) particles in injection molding assisted by an external magnetic field using COMSOL Multiphysics(®) software. To accurately introduce rheological phenomena of polymer melt into the simulation model, the Carreau model was used. Particle size, magnetic field intensity, melt viscosity, and other parameters impacting particle directional motion were discussed in depth. The directional distribution of particles in the simulation model was properly assessed and confirmed by experiment results. This model provides theoretical support for the control, optimization, and investigation of the injection-molding process control of surface-functionalized polymer composites. |
format | Online Article Text |
id | pubmed-9267549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92675492022-07-09 Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field Gu, Hang Qin, Guofeng Chen, Anfu Li, Mingke Huang, Dejie Peng, Zhangyuan Zhang, Jingjing Lei, Caihong Materials (Basel) Article Surface-functionalized polymer composites with spherical particles as fillers offer great qualities and have been widely employed in applications of sensors, pharmaceutical industries, anti-icing, and flexible electromagnetic interference shielding. The directional migration and dispersion theory of magnetic microparticles in polypropylene (PP)-matrix magnetic composites must be studied to better acquire the functional surface with remarkable features. In this work, a novel simulation model based on multi-physical field coupling was suggested to analyze the directed migration and distribution of magnetic ferroferric oxide (Fe(3)O(4)) particles in injection molding assisted by an external magnetic field using COMSOL Multiphysics(®) software. To accurately introduce rheological phenomena of polymer melt into the simulation model, the Carreau model was used. Particle size, magnetic field intensity, melt viscosity, and other parameters impacting particle directional motion were discussed in depth. The directional distribution of particles in the simulation model was properly assessed and confirmed by experiment results. This model provides theoretical support for the control, optimization, and investigation of the injection-molding process control of surface-functionalized polymer composites. MDPI 2022-07-01 /pmc/articles/PMC9267549/ /pubmed/35806755 http://dx.doi.org/10.3390/ma15134632 Text en © 2022 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 Gu, Hang Qin, Guofeng Chen, Anfu Li, Mingke Huang, Dejie Peng, Zhangyuan Zhang, Jingjing Lei, Caihong Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field |
title | Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field |
title_full | Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field |
title_fullStr | Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field |
title_full_unstemmed | Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field |
title_short | Directional Migration and Distribution of Magnetic Microparticles in Polypropylene-Matrix Magnetic Composites Molded by an Injection Molding Assisted by External Magnetic Field |
title_sort | directional migration and distribution of magnetic microparticles in polypropylene-matrix magnetic composites molded by an injection molding assisted by external magnetic field |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267549/ https://www.ncbi.nlm.nih.gov/pubmed/35806755 http://dx.doi.org/10.3390/ma15134632 |
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