Modelling of permeability of textile reinforcements: lattice Boltzmann method

Belov, E.B.; Lomov, Stepan Vladimirovitch; Verpoest, Ignaas; Peters, Tony; Roose, Dirk; Parnas, Richard S.; Hoes, Kris; Sol, Hugo

doi:10.1016/j.compscitech.2003.09.015

Cited by 126 publications

(83 citation statements)

References 29 publications

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“…Numerical simulations have also been developed to calculate the permeability of a fibrous reinforcement. Various techniques have been explored: lattice Boltzmann method [9], finite differences calculation [10,11], and finite element method [12]. However, to validate all these models, experimental data of permeability are necessary.…”

Section: Introductionmentioning

confidence: 99%

Experimental determination of the permeability of engineering textiles: Benchmark II

Vernet

Ruiz

Advani

et al. 2014

Composites Part A: Applied Science and Manufacturing

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Elsevier Vernet, N.; Ruiz, E.; Advani, S.; Alms, JB.; Aubert, M.; Barburski, M.; Barari, B.... (2014) Abstract:In this second international permeability benchmark, the in-plane permeability values of a carbon fabric were determined by 12 participants worldwide. One other participant also investigated the deformation of this fabric. The aim of this work was to obtain comparable results in order to make a step towards standardization of permeability measurements of fibrous reinforcements. The procedures used by most participants were according to the guidelines defined for this exercise after the first benchmark. Unidirectional injections in three in-plane directions of the fabric were conducted to determine the unsaturated in-plane permeability tensor. Parameters such as fiber volume fraction, injection pressure and fluid viscosity have been fixed in order to minimize sources of scatter. The comparison of the results from each participant was encouraging. The scatter between data obtained while respecting the test guidelines was close to the scatter of the setups themselves. A slightly 2 higher dispersion was observed when some parameters differed from the recommendations.Overall, a good correlation is observed between all the results of this exercise.

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Section: Introductionmentioning

confidence: 99%

Experimental determination of the permeability of engineering textiles: Benchmark II

Vernet

Ruiz

Advani

et al. 2014

Composites Part A: Applied Science and Manufacturing

Self Cite

218

201

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“…The LB method has previously been used to model the permeability of porous media such as rocks [19], textiles [20] and carbon paper gas diffusion layers in fuel cells [21]. It has also been used to model adsorption of fluid into real and model microstructures.…”

Section: Introductionmentioning

confidence: 99%

Lattice Boltzmann simulations of the permeability and capillary adsorption of cement model microstructures

Zalzale

McDonald

2012

Cement and Concrete Research

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“…Furthermore, this SL specimen has a simple and geometrically correctly known unit cell ( Fig. 10 & 11), which allows a correct import of the geometry into numerical flow simulation software (such as FlowTex [18,19]) for the numerical prediction of the permeability. Consequently, the SL specimen allows an objective comparison of different permeability identification methods and an experimental validation of the flow simulation software.…”

Section: Future Validation Using a Stereolithography (Sl) Reference Mmentioning

confidence: 99%

Permeability Identification of a Stereolithography Specimen Using an Inverse Method

Morren

Sol

Verleye

et al. 2007

Experimental Analysis of Nano and Engineering Materials and Structures

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The simulation of a resin flow through a porous medium by FE-models has become a very important aspect for the design of a high-performance RTM produced composite part. The key parameters to perform RTM flow simulations are the permeability values of the fibre reinforcement. The measurement of this material parameter is still not standardized and thus many different set-ups have been proposed. This paper presents an inverse method, or a so-called mixed numerical/experimental method, for the identification of the permeability values. In this iterative inverse technique an experimental observation on a highly automated central injection rig, called "PIERS set-up", is compared with a computed observation using a numerical model that simulates exactly the same experiment. In this model the permeability values will appear as parameters which will be iteratively tuned in such a way that the computed observation matches the experiment. The inverse method combined with the PIERS set-up assures a fast and accurate identification of the permeabilities.

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Modelling of permeability of textile reinforcements: lattice Boltzmann method

Cited by 126 publications

References 29 publications

Experimental determination of the permeability of engineering textiles: Benchmark II

Experimental determination of the permeability of engineering textiles: Benchmark II

Lattice Boltzmann simulations of the permeability and capillary adsorption of cement model microstructures

Permeability Identification of a Stereolithography Specimen Using an Inverse Method

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