Statistical modeling of in-plane permeability of non-woven random fibrous reinforcement
Source abstract
Abstract
A methodology has been proposed for statistical characterization of transport behavior of a typical random fibrous medium, i.e. the Chopped Strand Mat (CSM). For any given digital images of fabric sample, statistical description of the random microstructure is employed to evaluate the permeability field, in the framework of the statistical continuum approach. By choosing suitable sampling strategy, the evaluated permeability field can be used to predict the realistic fluctuation in the flow pattern in the RTM mold-filling process with a high accuracy, as validated by the radial injection experiments. The method can be generalized to other random fibrous media. Using a database of CSM samples, statistical characterization of fiber volume fraction and permeability fields is performed respectively. Important statistical properties, e.g. the RVE size, marginal PDF and correlation length have been provided for the transport properties of the CSM, as the basis for the input data for stochastic simulation of composite processing.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Composite Material Mechanics · Mechanical Behavior of Composites · Epoxy Resin Curing Processes
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (16)
Show source-provided references
1. Experimental determination of the permeability of textiles: a benchmark exercise10.1016/j.compositesa.2011.04.021 ↗
2. A realistic approach for modeling permeability of fibrous media: 3-D imaging coupled with CFD simulation10.1016/j.ces.2007.09.020 ↗
3. Microstructure based model for permeability predictions of open-cell metallic foams via homogenization10.1016/j.msea.2007.03.046 ↗
4. Statistical analysis of the porous microstructure as a method for estimating reservoir permeability10.1016/S0920-4105(96)00044-7 ↗
5. Bickerton S, Battley M, Gan JM. Automated characterisation of variability in glass fibre reinforcement architecture. In: 10th International conference on textile composites. Recent advances in textile composites. Lille: Destech Publications; 26–28 October 2010. p. 148–56.
6. Statistical continuum theory for inelastic behavior of a two-phase medium10.1016/S0749-6419(98)00019-9 ↗
7. Correlation functions for predicting properties of heterogeneous materials. II. Empirical construction of spatial correlation functions for two phase solids10.1063/1.1663742 ↗
8. Quantitative prediction of effective conductivity in anisotropic heterogeneous media using two-point correlation functions10.1016/j.commatsci.2006.01.004 ↗
9. Efficient stochastic simulation approach for RTM process with random fibrous permeability10.1016/j.compscitech.2011.06.006 ↗
10. Statistical modelling in modelling small deformation of polycrystals
11. A statistical formulation of viscoplastic behavior in heterogeneous polycrystals10.1155/TSM.11.57 ↗
12. Micromechanics of spatially uniform heterogeneous media: a critical review and emerging approaches10.1016/j.compositesb.2009.03.007 ↗
13. Determination of the size of the representative volume element for random composites: statistical and numerical approach10.1016/S0020-7683(03)00143-4 ↗
14. Determination of the size of the representative volume element for random quasi-brittle composites10.1016/j.ijsolstr.2009.03.015 ↗
15. Theoretical framework and experimental procedure for modeling mesoscopic volume fraction stochastic fluctuations in fiber reinforced composites10.1016/j.ijsolstr.2008.06.002 ↗
16. Simulation of local material properties based on moving window GMC10.1016/S0266-8920(01)00022-4 ↗