Representative volume element of anisotropic unidirectional carbon–epoxy composite with high-fibre volume fraction

Thomas, Matthieu; Boyard, Nicolas; Perez, Laetitia; Jarny, Y.; Delaunay, Didier

doi:10.1016/j.compscitech.2008.07.015

Cited by 34 publications

(17 citation statements)

References 27 publications

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“…The residual magnitude computed after the estimation is lower than 5.10 −3 K, and the residual mean is lower than 1.10 −3 K. Moreover, the found results reveal the weak thermal anisotropic nature of the composite (about ±5%), and that the thermal main directions are similar to the composite layers directions. These results confirm the one found with the microstructure analysis [17]. In fact, the thin stripes between the prepreg layers (which are fibres-poor regions), act as thermal barriers and are therefore responsible for the anisotropic nature of the material.…”

Section: Test On Real Microstructuresupporting

confidence: 80%

“…A study [17] has already been performed on the microstructure of this material, and it was shown that the RVE relative to the thermal conductivity is obtained when considering a square of 300µm length side. The following result was obtained considering an circle geometry of radius r out =195µm so that the observed surface is upper than the RVE one.…”

Section: Test On Real Microstructurementioning

confidence: 99%

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Estimation of effective thermal conductivity tensor from composite microstructure images

Thomas

Boyard

Jarny

et al. 2008

J. Phys.: Conf. Ser.

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Abstract. The determination of the effective thermal properties of inhomogeneous materials is a long-standing problem of continuously interest. The impressive number of methods developed to measure or estimate the thermal properties of composite materials clearly exhibits the importance given to their knowledge. Homogenization models are a cheap way to determine or predict them. Many different approaches of homogenization were developed, but the last advances are credited to numerical methods. In this study, a new computational model is developed to estimate the 2D thermal conductivity tensor and the thermal main directions of a pure carbon/epoxy unidirectional composite. This tool is based on real composite microstructure.

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Section: Test On Real Microstructuresupporting

confidence: 80%

Section: Test On Real Microstructurementioning

confidence: 99%

Estimation of effective thermal conductivity tensor from composite microstructure images

Thomas

Boyard

Jarny

et al. 2008

J. Phys.: Conf. Ser.

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show abstract

“…28 However, as the representative model domain was shown to depend on the used microstructural descriptor, 29 it is necessary to determine the model size convergence in this work by CFD simulations rather than using another computationally inexpensive model size predictor.…”

Section: Flow Through Randomised Filament Arrangementsmentioning

confidence: 99%

Influence of the micro-structure on saturated transverse flow in fibre arrays

Gommer

Endruweit

Long

2018

Journal of Composite Materials

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This study analyses the influence of the random filament arrangement in fibre bundles on the resin flow behaviour. Transverse steady-state resin flow that occurs behind a liquid resin flow front was simulated numerically through statistically equivalent micro-structures at high-fibre volume fractions, V f > 0.6, as observed in fibre bundles. The need of applying a minimum gap distance between neighbouring filaments was overcome by automated local mesh refinement. The derived permeability values showed significant scatter. Convergence of these values was determined at a ratio of flow length to filament radius greater than 20 for all three analysed fibre volume fractions. Mean permeabilities were between 6 and 10 times lower than those predicted for a hexagonal fibre array. A statistical model is proposed, which is able to predict the scatter of observed permeabilities based on simple micro-structural descriptors.

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“…The model size was determined by a ratio between width of RVE model and the particle size which given in δ = W/D. 2002), thermo-electro-mechanical analysis (Kumar and Chakraborty 2009) and thermal and electrical analysis (Thomas et al 2008;Anne et al 2010;Seidel and Puydupin-Jamin 2011;Buxton and Balazs 2004).…”

Section: Introductionmentioning

confidence: 99%

Predicting the RVE size of micro-particle composite for electrical purpose using particles dispersion developed

et al. 2014

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The numbers of RVE size (δ) were set in a size of 3, 4, 5, 6, 7, 8 and 9. The efficiency of size that represents the precision of the estimation of the electrical purpose has been successfully determined by a particle dispersion model developed at model size of δ = 7. The predicted conductivity at model size of δ = 7 shows a good agreement with experimental data with the results presented at 5.06 × 10 −1 and 2.69 × 10 −1 S/cm for modeling and experiments, respectively.

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Representative volume element of anisotropic unidirectional carbon–epoxy composite with high-fibre volume fraction

Cited by 34 publications

References 27 publications

Estimation of effective thermal conductivity tensor from composite microstructure images

Estimation of effective thermal conductivity tensor from composite microstructure images

Influence of the micro-structure on saturated transverse flow in fibre arrays

Predicting the RVE size of micro-particle composite for electrical purpose using particles dispersion developed

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