SRT-LBM and MRT-LBM comparison for a lid-driven gas microflow

Elguennouni, Youssef; Hssikou, Mohamed; Baliti, Jamal; Ghafiri, Rabia; Alaoui, Mohammed

doi:10.1109/iraset48871.2020.9092233

Cited by 3 publications

(9 citation statements)

References 15 publications

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“…9(a-b)). The vertical velocity-slip increases when Kn increases and it is more prominent by the SRT-LBM approach than by the MRT-LBM one [16,20] (see Figs. 8(c-d) and 9(c-d)).…”

Section: Numerical Results and Analysismentioning

confidence: 99%

“…2). In the literature, the simulation of fluid microflows was made a lot for a square-section cavity [14][15][16][17][18][19][20]. However, a few studies were focused on the geometries with inclined sides [32][33][34][35][36][37][38].…”

Section: Resultsmentioning

confidence: 99%

“…Developed codes SRT-LBM and MRT-LBM are run on www.astesj.com the Intel (R) Core (TM) i5-3340 M CPU laptop @ 2.7 GHz and RAM 8.00 GB. To obtain accurate findings the MRT-LBM requires more processing time than the SRT-LBM [16,20] due to the higher number of moments hired in the calculation to capture the effects of non-equilibrium (see Table 9). In Figures 12(a-i) the flow streamlines and u-velocity contours are plotted for Kn = 0.007, 0.05, 0.1, 1 and 3, respectively for σ = 0.7.…”

Section: Numerical Results and Analysismentioning

confidence: 99%

“…In order to ensure the validation of these models, a comparison is made with previous studies according to the widely used TMAC value (σ = 0.7) [14][15][16]20] for both validation cases (square microcavity and a triangular micro-cavity (case(2)). At first, the profile of u−velocity for Kn = 0.01 and Kn = 0.1 along the vertical centerline are compared with the findings reported by Perumal et al [14,15] and Rahmati et al [16] for a square micro-cavity (see Fig.…”

Section: Validation Testmentioning

confidence: 99%

“…The method, therefore, ensures a relation between the macro and the microscopic descriptions of flow. Only a few studies that have investigated the effectiveness of this method and extend its ability to model hydrodynamic and rarefied flows [14][15][16][17][18][19][20]. However, the study of such flows requires a good choice and implementation of the boundary conditions (BC), which is a key step in the LBM simulation process.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Study of Gas Microflow within a Triangular Lid-driven Cavity

Elguennouni¹,

Hssikou²,

Baliti³

et al. 2020

Adv. sci. technol. eng. syst. j.

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A rarefied gas flow is modeled inside two cases of triangular lid-driven microcavity using single (SRT) and multi-relaxation time (MRT) lattice Boltzmann approaches. In the first one, the right angle is in the top-left corner and the upper wall moves with positive horizontal velocity. However, in the second case, the right angle is in the bottom-left corner and the bottom wall moves with negative horizontal velocity. Unlike the classical form of square cavities, widely treated in the literature, the triangular form has a diagonal wall that affects the flow motion. At the moving wall, diffuse scattering boundary condition (DSBC) is employed while at the stationary sides, a combination of bounce-back and specular reflection boundary conditions (BSBC) is used. The computations are primarily performed in the slip and early transition regimes. The rarefaction effect, given by the Knudsen number (Kn) value, on the profiles of velocity components, is examined for both approaches. This study proves that for the higher values of Kn, the SRT-LBM approach cannot provide accurate results, particularly, near the inclined wall. However, the MRT-LBM approach confirms its validity even in the transition regime. A comparison with Direct Simulation Monte Carlo (DSMC) results for horizontal velocity contours shows the efficiency of the MRT-LBM approach than the SRT-LBM one which breaks down for rarefied flows.

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“…9(a-b)). The vertical velocity-slip increases when Kn increases and it is more prominent by the SRT-LBM approach than by the MRT-LBM one [16,20] (see Figs. 8(c-d) and 9(c-d)).…”

Section: Numerical Results and Analysismentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Numerical Results and Analysismentioning

confidence: 99%

Section: Validation Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Numerical Study of Gas Microflow within a Triangular Lid-driven Cavity

Elguennouni¹,

Hssikou²,

Baliti³

et al. 2020

Adv. sci. technol. eng. syst. j.

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A Review of Lattice-Boltzmann Models Coupled with Geochemical Modeling Applied for Simulation of Advanced Waterflooding and Enhanced Oil Recovery Processes

2021

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To maintain economic profit and improve the oil production efficiency after the primary and secondary production phase, advanced waterflooding techniques such as low salinity waterflooding in carbonate reservoirs have been investigated in numerical simulations, laboratory experiments, and field pilot tests. Multiple underlying mechanisms have been proposed based on these studies, and they are still under debate. Various numerical modeling approaches are introduced, but there exists a lack of a pore-scale comprehensive modeling scheme to fully understand the processes. Lattice-Boltzmann method (LBM) is a type of numerical fluid flow modeling technique that shows capabilities and flexibilities in modeling pore-scale fluid flow to integrate physical–chemical processes within complex structures. The intrinsic feature of LBM makes it a promising framework for simulating advanced waterflooding due to its flexibility, accuracy, and parallel efficiency. LBM works either by itself for solving reactive transport problems or by coupling with a third-party reaction solver. This review mainly introduces the LBM fluid flow and reactive transport capabilities and the concept and modeling approaches to simulate advanced waterflooding techniques. Meanwhile, an evaluation of the coupled LBM models for enhanced oil recovery (EOR) simulations is discussed with future research challenges and directions concluded.

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Numerical investigation of natural convection heat transfer using TiO₂/Al₂O₃-water nanofluids

Oulahou,

Elguennouni,

Hssikou

et al. 2024

FME Transactions

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Recently, nanofluids have been used as an alternative in several industries to improve the heat transfer process. This paper focuses on the numerical modeling of the performance of the natural convection process through TiO₂/Al₂O₃-water nanofluids in a square cavity containing a heated block. The lattice Boltzmann method is used in this study to present the nanofluid heat transfer enhancement. Results are presented in terms of streamlines, isothermal contours, and Nusselt number profiles. The findings demonstrate that by raising the Rayleigh number and solid nanoparticle concentration, the average Nusselt number increases, and they reveal that the heated block enormously affects the flow structure and heat transfer. It is also demonstrated that the type of nanoparticles significantly impacts the natural convection heat transfer.

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SRT-LBM and MRT-LBM comparison for a lid-driven gas microflow

Cited by 3 publications

References 15 publications

Numerical Study of Gas Microflow within a Triangular Lid-driven Cavity

Numerical Study of Gas Microflow within a Triangular Lid-driven Cavity

A Review of Lattice-Boltzmann Models Coupled with Geochemical Modeling Applied for Simulation of Advanced Waterflooding and Enhanced Oil Recovery Processes

Numerical investigation of natural convection heat transfer using TiO₂/Al₂O₃-water nanofluids

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