Quantitative Estimation of Permeability with Lattice Boltzmann Simulations: Representative Porous Media from Composite Processing

Deshpande, Abhijit P.; Srikanth, A.; Praveen, N.

doi:10.1002/cjce.5450830502

Cited by 9 publications

(5 citation statements)

References 16 publications

(22 reference statements)

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“…Impregnation in glass fiber mat has been studied earlier and issues such as the influence of porosity of the glass mat and of glass fiber diameter on impregnation rate and permeability have been discussed [3][4][5]. Permeability models and numerical simulations were developed in recent years [6][7][8][9] for unsaturated and saturated flow of fluid in porous media. Numerous researches on flow and permeability modeling in thermoset composite processing have been reported especially in RTM [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Impregnation of thermoplastic resin in jute fiber mat

Liu

Dai

2008

Front. Chem. Eng. China

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Impregnation rate of thermoplastic resin (polypropylene) in jute fiber mat and influence of relative factors on impregnation were studied, aiming to develop the continuous melt impregnation technique and to investigate the effect of impregnation rate and temperature on processing conditions and mechanical properties of natural fiber mat-reinforced thermoplastics. Influence of pressure on porosity of fiber mat and effect of melt viscosity on impregnation rate were also investigated. The modified capillary rheometer was used as apparatus and experimental data were analyzed based on the one-dimension Darcy's law. Results showed that at a given pressure, the impregnation rate is inversely proportional to melt viscosity and jute fiber mat has higher porosity than glass fiber mat. The architecture, compressibility, permeability and fiber diameter of jute fiber mat were compared with those of glass fiber mat and their effects on impregnation were discussed further. It could be seen that the average diameter of jute fiber is much bigger; the porosity of jute fiber mat is significantly higher and inner bundle impregnation does not exist in jute fiber mat. Therefore, it is not difficult to understand why the impregnation rate in jute fiber mat is 3.5 times higher and permeability is 14 times greater. Kozeny constants of jute and glass fiber mats calculated based on the capillary model are 2950 and 442, respectively.

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Section: Introductionmentioning

confidence: 99%

Impregnation of thermoplastic resin in jute fiber mat

Liu

Dai

2008

Front. Chem. Eng. China

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“…The lattice Boltzmann method (LBM), which is a kinetic approach with microscopic nature and mesoscopic characteristics, provides a feasible framework for building the model. It has been used in various physical and engineering systems . It is convenient for LBM to describe the complex interaction between components or phases accurately.…”

Section: Introductionmentioning

confidence: 99%

“…It has been used in various physical and engineering systems. [2][3][4][5] It is convenient for LBM to describe the complex interaction between components or phases accurately. So the LBM is particularly useful in applications about multicomponent and multiphase flow.…”

Section: Introductionmentioning

confidence: 99%

Lattice boltzmann method for natural convection with multicomponent and multiphase fluids in a two‐dimensional square cavity

2013

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A lattice Boltzmann method for natural convection with multicomponent and multiphase fluids in a two‐dimensional square cavity is presented. The model combines a multicomponent and multiphase method with a passive‐scalar approach, which is extended to be available for multicomponent immiscible flow in this paper. It has a good computational efficiency. The natural convection of flow with two of the same immiscible fluids are simulated using the model, and the agreement with the literature data is satisfactory. A case study of natural convection with a bubble of two different immiscible fluids in a square cavity is presented to show the heat transfer in a multiphase natural convection. It also reflects the potential of the present model for simulating thermal multicomponent multiphase fluids flow with different Rayleigh numbers.

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“…the Reynolds number Re , the Mach number Ma and the Knudsen number Kn , are well below one for both the experiment and the simulation. The LB method is ideally suited for simulating fluid flow in porous media since it provides a simple method to represent the complicated pore geometry: the so-called mid-grid bounce back condition is a common way to implement no-slip boundary conditions on the surface of the porous sample [56][57][58] . Since the boundary conditions are imposed locally, even complex boundaries do not significantly increase the computational time 59 .…”

mentioning

confidence: 99%

Agglomeration and filtration of colloidal suspensions with DVLO interactions in simulation and experiment

Schäfer

Hecht

Harting

et al. 2010

Journal of Colloid and Interface Science

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Cake filtration is a widely used solid-liquid separation process. However, the high flow resistance of the nanoporous filter cake lowers the efficiency of the process significantly. The structure and thus the permeability of the filter cakes depend on the compressive load acting on the particles, the particles size, and the agglomeration of the particles. The latter is determined by the particle charge and the ionic strength of the suspension, as described by the Derjaguin-Landau-Verwey-Overbeek (DLVO) theory. In this paper, we propose a combined stochastic rotation dynamics (SRD) and molecular dynamics (MD) methodology to simulate the cake formation. The simulations give further insight into the dependency of the filter cakes' structure on the agglomeration of the particles, which cannot be accessed experimentally. The permeability, as investigated with lattice Boltzmann (LB) simulations of flow through the discretized cake, depends on the particle size and porosity, and thus on the agglomeration of the particles. Our results agree qualitatively with experimental data obtained from colloidal boehmite suspensions.

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Quantitative Estimation of Permeability with Lattice Boltzmann Simulations: Representative Porous Media from Composite Processing

Cited by 9 publications

References 16 publications

Impregnation of thermoplastic resin in jute fiber mat

Impregnation of thermoplastic resin in jute fiber mat

Lattice boltzmann method for natural convection with multicomponent and multiphase fluids in a two‐dimensional square cavity

Agglomeration and filtration of colloidal suspensions with DVLO interactions in simulation and experiment

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