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Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites

This paper deals with predicting the effective thermal conductivity (ETC) of injection-moulded short fibre reinforced polymers (SFRPs) using two different homogenisation schemes: a scheme based on the dielectric theory for pseudo-oriented inclusions and a two-step homogenisation model based on the m...

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Autores principales: Mokarizadehhaghighishirazi, Majid, Buffel, Bart, Lomov, Stepan V., Desplentere, Frederik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415741/
https://www.ncbi.nlm.nih.gov/pubmed/36015616
http://dx.doi.org/10.3390/polym14163360
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author Mokarizadehhaghighishirazi, Majid
Buffel, Bart
Lomov, Stepan V.
Desplentere, Frederik
author_facet Mokarizadehhaghighishirazi, Majid
Buffel, Bart
Lomov, Stepan V.
Desplentere, Frederik
author_sort Mokarizadehhaghighishirazi, Majid
collection PubMed
description This paper deals with predicting the effective thermal conductivity (ETC) of injection-moulded short fibre reinforced polymers (SFRPs) using two different homogenisation schemes: a scheme based on the dielectric theory for pseudo-oriented inclusions and a two-step homogenisation model based on the mean-field homogenisation approach. In both cases, the fibre orientation tensor (FOT) obtained from Autodesk Moldflow(®) simulation was used. The Moldflow FOT predictions were validated via structure tensor analysis of micro-computed X-ray tomography (micro-CT) scans of the part. In the dielectric-wise approach, the orientation of fibres was originally defined by a scalar parameter, which is related to the diagonal components of the FOT. In the two-step homogenisation approach, an interpolative model based on the Mori–Tanaka theory is used in the first step for calculating the ETC for the ideal case of unidirectional fibre alignment, followed by a second step in which orientation averaging based on the FOT inside each element is applied. The ETC was calculated using both schemes for the specific case of uniform fibre orientation distribution and at three different locations with non-identical FOTs of an injection-moulded SFRP part. The results are compared with each other and evaluated against the direct numerical simulation for the uniform fibre orientation and experimental measurements for the injection-moulded SFRP. This shows that while the two-step homogenisation can predict the ETC in the full range of orientations between the perfectly aligned and uniformly distributed fibres, the dielectric-wise approach is only capable of modelling the ETC when distributions are close to the two extreme ends of the orientation spectrum.
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spelling pubmed-94157412022-08-27 Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites Mokarizadehhaghighishirazi, Majid Buffel, Bart Lomov, Stepan V. Desplentere, Frederik Polymers (Basel) Article This paper deals with predicting the effective thermal conductivity (ETC) of injection-moulded short fibre reinforced polymers (SFRPs) using two different homogenisation schemes: a scheme based on the dielectric theory for pseudo-oriented inclusions and a two-step homogenisation model based on the mean-field homogenisation approach. In both cases, the fibre orientation tensor (FOT) obtained from Autodesk Moldflow(®) simulation was used. The Moldflow FOT predictions were validated via structure tensor analysis of micro-computed X-ray tomography (micro-CT) scans of the part. In the dielectric-wise approach, the orientation of fibres was originally defined by a scalar parameter, which is related to the diagonal components of the FOT. In the two-step homogenisation approach, an interpolative model based on the Mori–Tanaka theory is used in the first step for calculating the ETC for the ideal case of unidirectional fibre alignment, followed by a second step in which orientation averaging based on the FOT inside each element is applied. The ETC was calculated using both schemes for the specific case of uniform fibre orientation distribution and at three different locations with non-identical FOTs of an injection-moulded SFRP part. The results are compared with each other and evaluated against the direct numerical simulation for the uniform fibre orientation and experimental measurements for the injection-moulded SFRP. This shows that while the two-step homogenisation can predict the ETC in the full range of orientations between the perfectly aligned and uniformly distributed fibres, the dielectric-wise approach is only capable of modelling the ETC when distributions are close to the two extreme ends of the orientation spectrum. MDPI 2022-08-17 /pmc/articles/PMC9415741/ /pubmed/36015616 http://dx.doi.org/10.3390/polym14163360 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
Mokarizadehhaghighishirazi, Majid
Buffel, Bart
Lomov, Stepan V.
Desplentere, Frederik
Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites
title Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites
title_full Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites
title_fullStr Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites
title_full_unstemmed Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites
title_short Homogenisation of the Local Thermal Conductivity in Injection-Moulded Short Fibre Reinforced Composites
title_sort homogenisation of the local thermal conductivity in injection-moulded short fibre reinforced composites
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415741/
https://www.ncbi.nlm.nih.gov/pubmed/36015616
http://dx.doi.org/10.3390/polym14163360
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