Micro-scale modeling of axial flow through unidirectional disordered fiber arrays

Chen, Xiaoming; Papathanasiou, T. D.

doi:10.1016/j.compscitech.2006.10.011

Cited by 59 publications

(40 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As demonstrated by Chen and Papathanasiou, 17 the permeability data are affected by high scattering due to the stochastic nature of the fiber distribution. To reduce this scattering, the number of random distributions (N rd ) and the number of filaments (N f ) were optimized by keeping a constant V f = 0.472 as the volume fraction for the compression molding experiment.…”

Section: Mathematical Modelmentioning

confidence: 97%

Numerical simulation of the microscale impregnation in commingled thermoplastic composite yarns

2010

View full text Add to dashboard Cite

ABSTRACT:The impregnation of a glass woven fabric with an amorphous polyethylene terephthalate copolymer (PET-g) matrix was investigated using a finite element (FE) model for interbundle and intrabundle flow of the matrix. Micrographs of samples obtained by film stacking of PET-g to impregnate the glass fabric have confirmed the occurrence of interbundle and intrabundle flow, taking place as separate steps. On the basis of this evidence, two different mechanisms for the fiber impregnation were postulated. The first flow process is associated with a macroscale interbundle impregnation, whereas the second is associated with microscale intrabundle impregnation. Two different FE models were developed to simulate the microscopic and macroscopic flow of the matrix, considering a large number of different random fiber arrangements. Both models could account for the non-Newtonian rheological behavior of the thermoplastic matrix. The microscale impregnation of fibers was simulated by using randomly spaced and nonoverlapping unidirectional filaments. The effect of the number of filaments and the number of random distributions necessary to achieve an adequate accuracy of the method was assessed. The results obtained from the simulation showed that at low pressures, the polymer melt exhibits Newtonian behavior, which makes it possible to predict the tow permeability by the Darcy law. A more difficult situation arises at high pressures because of the Correspondence to: A. Maffezzoli;

show abstract

Section: Mathematical Modelmentioning

confidence: 97%

Numerical simulation of the microscale impregnation in commingled thermoplastic composite yarns

2010

View full text Add to dashboard Cite

show abstract

“…The most simple method of generating random filament arrangements places nonoverlapping disks representing the filaments with constant [23,24] or varying [25] radii randomly within a specified domain. A limitation to this method is the jamming limit at around ܸ = 0.55 [26,27], which is at the lower end of the typical local V f within fibre bundles used in composite materials.…”

Section: Micro-structure Generationmentioning

confidence: 99%

Analysis of filament arrangements and generation of statistically equivalent composite micro-structures

Gommer

Endruweit

Long

2014

Composites Science and Technology

View full text Add to dashboard Cite

An efficient method to describe and quantify the filament arrangement in fibre bundles based on the analysis of micrographs was developed. Quantitative measurement of relative filament positions indicated that the initially random arrangement of filaments shows increasingly strong characteristics of square and hexagonal configurations with increasing level of transverse compaction. An existing micro-structure generator was extended to incorporate the measured data allowing statistically equivalent filament arrangements to be generated at any fibre volume fraction. These can be used to determine micro-structural properties of actual fibre reinforced composites.

show abstract

“…Indeed, different modeling tools are involved at each level: flow in porous media (mainly Darcy's law) at macroscale [6], both flow in porous media (Darcy's or Brinkman's law) and Stokes flow at meso-scale [7] and mainly Stokes flow at micro-scale [8].…”

Section: Introductionmentioning

confidence: 99%

BEM computation of 3D Stokes flow including moving front

et al. 2016

View full text Add to dashboard Cite

Liquid composite molding (LCM) includes all composite-manufacturing methods, where the liquid state resin is forced into the dry preformed reinforcement. In this study, numerical simulation of the resin infusion is presented based on a coupled approach involving Boundary Element Method (BEM) and Level Set Method. The method developed can handle stationary and transient flows by solving the Stokes equations. The numerical results on a square packed set of fibers show excellent agreement with the analytical model. The comparison between experimental and simulation results of flow front patterns revealed a fair accordance.

show abstract

Micro-scale modeling of axial flow through unidirectional disordered fiber arrays

Cited by 59 publications

References 18 publications

Numerical simulation of the microscale impregnation in commingled thermoplastic composite yarns

Numerical simulation of the microscale impregnation in commingled thermoplastic composite yarns

Analysis of filament arrangements and generation of statistically equivalent composite micro-structures

BEM computation of 3D Stokes flow including moving front

Contact Info

Product

Resources

About