A study on pressure-driven gas transport in porous media: from nanoscale to microscale

Kawagoe, Yoshiaki; Oshima, Tomoya; Tomarikawa, Ko; Tokumasu, Takashi; Koido, Tetsuya; Yonemura, Shigenobu

doi:10.1007/s10404-016-1829-8

Cited by 39 publications

(22 citation statements)

References 34 publications

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“…The average pellet diameter (1 μm) was estimated from the SEM images, and a bed porosity of = 0.4 was used to account for a randomized distribution within the bed of roughly cubic shaped pellets. [47] A flow resistance was applied to the pelletized catalytic region which accounts for the viscous and inertial losses experienced within the packed pellet bed. These parameters were determined according to the semi-empirical Ergun equation for pressure drops within packed beds.…”

Section: Computational Investigation Model Developmentmentioning

confidence: 99%

Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration

Potter

Armstrong

Raja

2018

Catal. Sci. Technol.

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Section: Computational Investigation Model Developmentmentioning

confidence: 99%

Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration

Potter

Armstrong

Raja

2018

Catal. Sci. Technol.

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“…(11) and (12) with the average mean free pathλ.λ is calculated based on the properties for the average pressureP in the porous medium. Though the variation of P is not perfectly linear in the geometry (Appendix B),P is simply calculated asP = (P in + P out )/2, as it is more feasible in practical applications [12,28].…”

Section: E Data Reductionmentioning

confidence: 99%

“…They showed that their simulations by DSMC were feasible at relevant scales and conditions. Kawagoe et al [12] simulated pressure-driven gas flow through randomly arranged solid spherical particles with the porosity ranging from 0.3 to 0.5 by DSMC. It was confirmed that Darcy's law was valid even in the case of porous media with micro-and nanoscale pores.…”

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confidence: 99%

Investigation of the Klinkenberg effect in a micro/nanoporous medium by direct simulation Monte Carlo method

Yang

2018

Phys. Rev. Fluids

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The pressure-driven gas transport characteristics through a porous medium consisting of arrays of discrete elements is investigated by using the direct simulation Monte Carlo (DSMC) method. Different porous structures are considered, accounting for both two-and three-dimensional arrangements of basic microscale and nanoscale elements. The pore scale flow patterns in the porous medium are obtained, and the Knudsen diffusion in the pores is studied in detail for slip and transition flow regimes. A new effective pore size of the porous medium is defined, which is a function of the porosity, the tortuosity, the contraction factor, and the intrinsic permeability of the porous medium. It is found that the Klinkenberg effect in different porous structures can be fully described by the Knudsen number characterized by the effective pore size. The accuracies of some widely used Klinkenberg correlations are evaluated by the present DSMC results. It is also found that the available correlations for apparent permeability, most of which are derived from simple pipe or channel flows, can still be applicative for more complex porous media flows, by using the effective pore size defined in this study.

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“…15 show that they are not as accurate as Klinkenberg’s model in predicting the permeability of the media. In addition, at higher Kn number, our results deviate and gradually starts to pursue the Kawagoe’s model 48 . The reason is that in the model presented by Kawagoe et al .…”

Section: Resultsmentioning

confidence: 59%

Direct Simulation Monte Carlo investigation of fluid characteristics and gas transport in porous microchannels

Shariati

Ahmadian

Roohi

2019

Sci Rep

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The impetus of the current research is to use the direct simulation Monte Carlo (DSMC) algorithm to investigate fluid behaviour and gas transport in porous microchannels. Here, we demonstrate DSMC’s capability to simulate porous media up to 40% porosity. In this study, the porous geometry is generated by a random distribution of circular obstacles through the microchannel with no interpenetration between the obstacles. The influence of the morphology along with rarefaction and gas type on the apparent permeability is investigated. Moreover, the effects of porosity, solid particle’s diameter and specific surface area are considered. Our results demonstrate that although decreasing porosity intensifies tortuosity in the flow field, the tortuosity reduces at higher Knudsen numbers due to slip flow at solid boundaries. In addition, our study on two different gas species showed that the gas type affects slippage and apparent gas permeability. Finally, comparing different apparent permeability models showed that Beskok and Karniadakis model is valid only up to the early transition regime and at higher Knudsen numbers, the current data matches those models that take Knudsen diffusion into account as well.

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A study on pressure-driven gas transport in porous media: from nanoscale to microscale

Cited by 39 publications

References 34 publications

Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration

Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration

Investigation of the Klinkenberg effect in a micro/nanoporous medium by direct simulation Monte Carlo method

Direct Simulation Monte Carlo investigation of fluid characteristics and gas transport in porous microchannels

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