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An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis
Building polymers implemented into building panels and exterior façades have been determined as the major contributor to severe fire incidents, including the 2017 Grenfell Tower fire incident. To gain a deeper understanding of the pyrolysis process of these polymer composites, this work proposes a m...
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/PMC8746794/ https://www.ncbi.nlm.nih.gov/pubmed/35011524 http://dx.doi.org/10.3390/molecules27010292 |
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author | Chen, Timothy Bo Yuan De Cachinho Cordeiro, Ivan Miguel Yuen, Anthony Chun Yin Yang, Wei Chan, Qing Nian Zhang, Jin Cheung, Sherman C. P. Yeoh, Guan Heng |
author_facet | Chen, Timothy Bo Yuan De Cachinho Cordeiro, Ivan Miguel Yuen, Anthony Chun Yin Yang, Wei Chan, Qing Nian Zhang, Jin Cheung, Sherman C. P. Yeoh, Guan Heng |
author_sort | Chen, Timothy Bo Yuan |
collection | PubMed |
description | Building polymers implemented into building panels and exterior façades have been determined as the major contributor to severe fire incidents, including the 2017 Grenfell Tower fire incident. To gain a deeper understanding of the pyrolysis process of these polymer composites, this work proposes a multi-scale modelling framework comprising of applying the kinetics parameters and detailed pyrolysis gas volatiles (parent combustion fuel and key precursor species) extracted from Molecular Dynamics models to a macro-scale Computational Fluid Dynamics fire model. The modelling framework was tested for pure and flame-retardant polyethylene systems. Based on the modelling results, the chemical distribution of the fully decomposed chemical compounds was realised for the selected polymers. Subsequently, the identified gas volatiles from solid to gas phases were applied as the parent fuel in the detailed chemical kinetics combustion model for enhanced predictions of toxic gas, charring, and smoke particulate predictions. The results demonstrate the potential application of the developed model in the simulation of different polymer materials without substantial prior knowledge of the thermal degradation properties from costly experiments. |
format | Online Article Text |
id | pubmed-8746794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87467942022-01-11 An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis Chen, Timothy Bo Yuan De Cachinho Cordeiro, Ivan Miguel Yuen, Anthony Chun Yin Yang, Wei Chan, Qing Nian Zhang, Jin Cheung, Sherman C. P. Yeoh, Guan Heng Molecules Article Building polymers implemented into building panels and exterior façades have been determined as the major contributor to severe fire incidents, including the 2017 Grenfell Tower fire incident. To gain a deeper understanding of the pyrolysis process of these polymer composites, this work proposes a multi-scale modelling framework comprising of applying the kinetics parameters and detailed pyrolysis gas volatiles (parent combustion fuel and key precursor species) extracted from Molecular Dynamics models to a macro-scale Computational Fluid Dynamics fire model. The modelling framework was tested for pure and flame-retardant polyethylene systems. Based on the modelling results, the chemical distribution of the fully decomposed chemical compounds was realised for the selected polymers. Subsequently, the identified gas volatiles from solid to gas phases were applied as the parent fuel in the detailed chemical kinetics combustion model for enhanced predictions of toxic gas, charring, and smoke particulate predictions. The results demonstrate the potential application of the developed model in the simulation of different polymer materials without substantial prior knowledge of the thermal degradation properties from costly experiments. MDPI 2022-01-04 /pmc/articles/PMC8746794/ /pubmed/35011524 http://dx.doi.org/10.3390/molecules27010292 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 Chen, Timothy Bo Yuan De Cachinho Cordeiro, Ivan Miguel Yuen, Anthony Chun Yin Yang, Wei Chan, Qing Nian Zhang, Jin Cheung, Sherman C. P. Yeoh, Guan Heng An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis |
title | An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis |
title_full | An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis |
title_fullStr | An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis |
title_full_unstemmed | An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis |
title_short | An Investigation towards Coupling Molecular Dynamics with Computational Fluid Dynamics for Modelling Polymer Pyrolysis |
title_sort | investigation towards coupling molecular dynamics with computational fluid dynamics for modelling polymer pyrolysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746794/ https://www.ncbi.nlm.nih.gov/pubmed/35011524 http://dx.doi.org/10.3390/molecules27010292 |
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