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Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level

The evolution of the thermal conductivities of the unidirectional, 2D woven and 3D braided composites during the CVI (chemical vapor infiltration) process have been numerically studied by the finite element method. The results show that the dual-scale pores play an important role in the thermal cond...

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Autores principales: Guan, Kang, Wu, Jianqing, Cheng, Laifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456953/
https://www.ncbi.nlm.nih.gov/pubmed/28774130
http://dx.doi.org/10.3390/ma9121011
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author Guan, Kang
Wu, Jianqing
Cheng, Laifei
author_facet Guan, Kang
Wu, Jianqing
Cheng, Laifei
author_sort Guan, Kang
collection PubMed
description The evolution of the thermal conductivities of the unidirectional, 2D woven and 3D braided composites during the CVI (chemical vapor infiltration) process have been numerically studied by the finite element method. The results show that the dual-scale pores play an important role in the thermal conduction of the CVI-densified composites. According to our results, two thermal conductivity models applicable for CVI process have been developed. The sensitivity analysis demonstrates the parameter with the most influence on the CVI-densified composites’ thermal conductivity is matrix cracking’s density, followed by volume fraction of the bundle and thermal conductance of the matrix cracks, finally by micro-porosity inside the bundles and macro-porosity between the bundles. The obtained results are well consistent with the reported data, thus our models could be useful for designing the processing and performance of the CVI-densified composites.
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spelling pubmed-54569532017-07-28 Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level Guan, Kang Wu, Jianqing Cheng, Laifei Materials (Basel) Article The evolution of the thermal conductivities of the unidirectional, 2D woven and 3D braided composites during the CVI (chemical vapor infiltration) process have been numerically studied by the finite element method. The results show that the dual-scale pores play an important role in the thermal conduction of the CVI-densified composites. According to our results, two thermal conductivity models applicable for CVI process have been developed. The sensitivity analysis demonstrates the parameter with the most influence on the CVI-densified composites’ thermal conductivity is matrix cracking’s density, followed by volume fraction of the bundle and thermal conductance of the matrix cracks, finally by micro-porosity inside the bundles and macro-porosity between the bundles. The obtained results are well consistent with the reported data, thus our models could be useful for designing the processing and performance of the CVI-densified composites. MDPI 2016-12-13 /pmc/articles/PMC5456953/ /pubmed/28774130 http://dx.doi.org/10.3390/ma9121011 Text en © 2016 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
Guan, Kang
Wu, Jianqing
Cheng, Laifei
Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level
title Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level
title_full Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level
title_fullStr Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level
title_full_unstemmed Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level
title_short Modeling of Thermal Conductivity of CVI-Densified Composites at Fiber and Bundle Level
title_sort modeling of thermal conductivity of cvi-densified composites at fiber and bundle level
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456953/
https://www.ncbi.nlm.nih.gov/pubmed/28774130
http://dx.doi.org/10.3390/ma9121011
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