Lattice Boltzmann simulation of diluted gas flow inside irregular shape microchannel by two relaxation times on the basis of wall function approach

Ahangar, Ehsan Kamali; Ayani, Mohammad Bagher; Esfahani, Javad Abolfazli; Kim, Kyung Chun

doi:10.1016/j.vacuum.2019.109104

Cited by 14 publications

(8 citation statements)

References 37 publications

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“…Similarly, Ahangar et al [73] applied the lattice Boltzmann method with two Relaxation Times to analyze the flow state of rarefied gas in multi throats microchannels with slip and transition flow regimes. They reported that compared with a single relaxation time, the slip velocity predicted by this model has higher accuracy.…”

Section: Lattice Boltzmann Methods (Lbm)mentioning

confidence: 99%

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Gao

Yang

et al. 2022

Thermal Science and Engineering Progress

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Section: Lattice Boltzmann Methods (Lbm)mentioning

confidence: 99%

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Gao

Yang

et al. 2022

Thermal Science and Engineering Progress

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“…shale gas flow characteristics Zhao et al 7,36 The influence of heterogeneity of pore structures on gas velocity distribution becomes less significant with increasing Kn. Mosavat et al 80 and Ahangar et al 81 With the decrease of throat-to-pore ratio and increase of Kn, the velocity distribution becomes more uniform. Jia et al 82 The small pores become less important as pressure increases.…”

Section: And Nazarimentioning

confidence: 99%

“…With the decrease of throat-to-pore ratio and increase of Kn, the maximum velocity over slip velocity ratio in a throat decreases, meaning a more uniform velocity distribution. Ahangar et al 81 simulated gas flow through a long microchannel with multiple throats. The vortices before and after the narrow throat decrease with increasing Kn and can even be removed at high Kn, which also means a more uniform velocity distribution.…”

Section: And Nazarimentioning

confidence: 99%

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Minireview on Lattice Boltzmann Modeling of Gas Flow and Adsorption in Shale Porous Media: Progress and Future Direction

Zhao

Wang²,

Zhang

et al. 2023

Energy Fuels

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As an important unconventional resource, shale gas reservoirs have unique characteristics different from conventional oil and gas reservoirs. The ultrasmall pore sizes in shale induce the nanopore confinement effect on shale gas flow. In addition, shale rocks are rich in organic matter, which has strong interactions with gas molecules and results in gas adsorption. The lattice Boltzmann method (LBM) for micro-and nanoscale gas flow, which is originally designed for micro-electro-mechanical systems (MEMS), has been modified to simulate gas flow and adsorption in shale rocks. This work reviews four types of lattice Boltzmann models developed recently for shale gas flow/adsorption: (1) the slip-velocity-based LBM, (2) high-order LBM, (3) diffusion-based LBM, and (4) REV-scale LBM. Among these models, the slip-velocity-based LBM is widely used for shale gas modeling, which incorporates the slip boundary condition and Knudsen number (Kn)-determined relaxation time to simulate the nanopore confinement effect. To model the gas adsorption, the fluid−solid interaction force is introduced into the model, and the magnitude of this interaction force is usually obtained from the molecular level simulations. LBMs have been regarded as an efficient numerical tool to estimate the shale gas apparent permeability, to describe the pore-scale flow behaviors, and to address the influence of gas adsorption on shale gas storage and transport. Nevertheless, some challenges exist in current applications of LBMs for shale gas flow and adsorption simulations that are discussed in this minireview as well.

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“…Their results of Poiseuille gas flow through a micro/nanochannel indicated that the TRT-LBM using the wall function could satisfactorily predict the flow behavior up to the upper end of the transition flow regime. Ahangar et al (2020) also utilize the power-law analytical function to improve the near-wall slippage velocity of rarefied gas flow in a microchannel with multi throats using TRT-LBM. Regarding high-Re turbulent flows, Wilhelm et al (2018) proposed an explicit wall model based on a power-law velocity profile and implemented it for the LBM-based Reynolds-averaged Navier-Stokes simulations of the incompressible flow around airfoils at high-Re numbers.…”

Section: Introductionmentioning

confidence: 99%

A wall function approach in lattice Boltzmann method: algorithm and validation using turbulent channel flow

2021

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In the lattice Boltzmann method (LBM), the widely utilized wall boundary is the bounce-back (BB) boundary, which corresponds to the no-slip boundary. The BB boundary prevents the LBM from capturing the accurate shear drag on the wall when addressing high Reynolds number flows using coarse-grid systems. In this study, we proposed a "wall-function bounce (WFB)" boundary that incorporates a wall function into the LBM's boundary condition and overcomes the limitation of the BB. The WFB boundary calculates the appropriate shear drag on the wall using a wall function model, and thereafter modifies distribution functions to reflect the shear drag. The Spalding's law was utilized as the wall function in WFB. Simulations of turbulent channel flow at Re 𝜏𝜏 = 640 and 2003 using the LBM-based large-eddy simulation (LBM-LES) were conducted to

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Lattice Boltzmann simulation of diluted gas flow inside irregular shape microchannel by two relaxation times on the basis of wall function approach

Cited by 14 publications

References 37 publications

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Minireview on Lattice Boltzmann Modeling of Gas Flow and Adsorption in Shale Porous Media: Progress and Future Direction

A wall function approach in lattice Boltzmann method: algorithm and validation using turbulent channel flow

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