2011
DOI: 10.4028/www.scientific.net/amm.109.17
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Microstructure Modeling for Prediction of Thermal Conductivity of Plain Weave C/SiC Fibre Bundles Considering Manufacturing Flaws

Abstract: The aim of this paper is to propose a microstructure modeling for prediction of thermal conductivity of plain weave C/SiC fibre bundles considering manufacturing flaws. Utilized photomicrographs taken by scanning electron microscope (SEM), an accurate representative volume element (RVE) model for carbon fiber bundles is established. Based on the steady-analysis method, the axial and transverse thermal conductivity of the carbon fibre bundles are calculated as 40.32Wm-1K-1 and 11.33 Wm-1K-1, respectively. The m… Show more

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Cited by 3 publications
(2 citation statements)
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“…Plain weave C/SiC RVE consists of fibre bundle, SiC matrix and flaws. The in-plane and thickness direction thermal conductivity of the fibre bundles [8] are already calculated as 40.32 Wm -1 K -1 and 11.33Wm -1 K -1 , and the thermal conductivity of SiC matrix and air are listed in Table 1. The thermal conductivity is changing as the temperature is fluctuating in reality.…”
Section: Results and Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Plain weave C/SiC RVE consists of fibre bundle, SiC matrix and flaws. The in-plane and thickness direction thermal conductivity of the fibre bundles [8] are already calculated as 40.32 Wm -1 K -1 and 11.33Wm -1 K -1 , and the thermal conductivity of SiC matrix and air are listed in Table 1. The thermal conductivity is changing as the temperature is fluctuating in reality.…”
Section: Results and Analysismentioning
confidence: 99%
“…In order to establish an accurate RVE model, internal defects of materials require for quantitative analysis. Analysis shows that class B matrix porosities take 8.1% of the whole material section; class A matrix cracks are perpendicular to the fiber bundles [8] and throughout the matrix, whose mean spacing is calculated as 267.84µm.…”
Section: Fig1 Sem Photomicrographs For Manufacturing Porositiesmentioning
confidence: 99%