2014
DOI: 10.1016/j.ces.2013.10.038
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Simulation of gas diffusion in highly porous nanostructures by direct simulation Monte Carlo

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Cited by 32 publications
(21 citation statements)
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“…As a result, due to k=D < 0:01, using the continuum flow approach with no-slip boundary conditions is accurate to simulate flow fields inside the reactors [38,[42][43][44][45]. Therefore, the governing transport equations are as follows: @q @t þ r:ðq…”
Section: Governing Equationsmentioning
confidence: 98%
“…As a result, due to k=D < 0:01, using the continuum flow approach with no-slip boundary conditions is accurate to simulate flow fields inside the reactors [38,[42][43][44][45]. Therefore, the governing transport equations are as follows: @q @t þ r:ðq…”
Section: Governing Equationsmentioning
confidence: 98%
“…In the present work, the DSMC method, which is the stochastic solution of the Boltzmann equation (Nanbu 1980), was used for numerical simulations of gas flows in porous media. The DSMC method has been used to simulate gas flow in micro-/nanoscale porous media (Saito et al 1995;Tomarikawa et al 2011;Kalarakis et al 2012;Oshima et al 2012;Dreyer et al 2014;Christou and Dadzie 2016).…”
Section: Methodsmentioning
confidence: 99%
“…They showed that the permeability of a porous medium obtained in the gas flow simulations by the lattice Boltzmann method incorporating the effective gas viscosity in the transition flow regime agrees well with that obtained by the DSMC simulations. Dreyer et al (2014) investigated the gas diffusion process in high-porosity nanoscale porous media by using the DSMC method and compared the DSMC results with those of the dusty gas model. Christou and Dadzie (2016) investigated the effect of the Knudsen number for the velocity profile in a Berea porous structure, which was obtained with micro-CT, by performing DSMC simulations.…”
Section: Introductionmentioning
confidence: 99%
“…38 Previous application of the DSMC method on a 3D nano-particle model claimed that the empirical equation for the estimation of the tortuosity factor t = (e 1/3 ) À1 43 could cause aberrations in concentration distribution. 44 However, to our knowledge, few studies apply numerical methods like DSMC to extract the Knudsen tortuosity factor based on 3D reconstructed electrode microstructures obtained from X-ray computed tomography (X-ray CT), which provides a faithful description of the pore structures. The simulated Knudsen tortuosity factor at the pore-scale makes it possible to relate macroscopic transport properties to the underlying pore-scale physical process, which will be a breakthrough benefiting the study of multi-scale gas transport in porous media.…”
Section: Introductionmentioning
confidence: 99%