Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method

Trunk, Robin; Henn, Thomas; Dörfler, Willy; Nirschl, Hermann; Krause, Mathias J.

doi:10.1016/j.jocs.2016.03.013

Cited by 29 publications

(21 citation statements)

References 22 publications

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“…The LBM for the flow field including the Smagorinsky subgrid model and the LBM for the temperature field are implemented and extend by the Smagorinsky subgrid model for the temperature. Due to its generic approach based on C++ templates, OpenLB has been used for several applications in math, engineering and medicine, see for example [40,41,18,42,43].…”

Section: Resultsmentioning

confidence: 99%

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle

Gaedtke

Wachter

Rädle

et al. 2018

Computers & Mathematics with Applications

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a b s t r a c tIn this work the simulation of velocity and temperature distributions inside a refrigerated vehicle is evaluated. For this purpose a 3D double distribution lattice Boltzmann method (LBM) with the Bhatnagar-Gross-Krook (BGK) collision operator is coupled by the buoyancy force calculated with the Boussinesq approximation. This LBM is extended by a Smagorinsky subgrid method, which numerically stabilizes the BGK scheme for low resolutions and high Reynolds and Rayleigh numbers. Besides validation against the two benchmark cases porous plate and natural convection in a square cavity evaluated at resolutions of y + ≈ 2 for Ra numbers between 10 3 and 10 10 , the method and its implementation are tested via comparison with experimental data for a refrigerated vehicle at Re ≈ 53 000.The aim of the investigation is to provide a deeper understanding of the refrigerated vehicle's insulation processes including its thermal performance under turbulent flow conditions. Therefore, we extend this method by the half lattice division scheme for conjugate heat transfer to simulate in the geometry of a refrigerated vehicle including its insulation walls. This newly developed method combination enables us to accurately predict velocity and temperature distributions inside the cooled loading area, while spatially resolving the heat flux through the insulation walls. We simulate the time dependent heating process of the open door test and validate against measurements at four characteristic velocity and 13 temperature positions in the truck. (M. Gaedtke). are complex material requirements which, in addition to the insulation, include static stability, load securing as well as resistance against vibrational stress.According to Smale [2] most simulations and models for the representation of a velocity and temperature distribution in the field of applied cooling of geometries between 1974 and 2006 have shown low accuracy and large deviations from experimental data. Tabsoba et al. [3] studied the influence of the k-ϵ turbulence model against the Reynolds stress model, where they indicated the k-ϵ model to fail at the prediction of certain flow characteristics in ventilated enclosures. Ambaw [4] summarized studies on the cooling of harvested food, indicating some progress being made between 2006 and 2013 with the accuracy of the models. With simulations mainly based on Reynolds averaging turbulence models as the k-ϵ or shear stress transport (SST) model [5][6][7][8], he also came to the conclusion, that a clear increase in the accuracy of turbulent 3D simulations within complex cooled geometries compared with experimental data has still to come.According to James [9] first simulations of the open door tests have been carried out by Tso et al. [10]. Tso's simulated temperatures deviate from experimental recordings by up to 4 K at a temperature difference of about 26 K. Son [11] showed an approximation to the validation data up to 1.13 K in the simulation of the velocity and temperature distribution in the interior of a filled...

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Section: Resultsmentioning

confidence: 99%

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle

Gaedtke

Wachter

Rädle

et al. 2018

Computers & Mathematics with Applications

Self Cite

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“…In the Lagrangian approach, each of the particles has own coordinates and own equation of motion [11]. In the case of the Eulerian approach, the particles phase is described as a continuous function of particles concentration and the time evolution of concentration is described by the convection-diffusion equation [12]. The Lagrangian approach is more suitable for the simulations of a smaller number of large particles, while Eulerian approach is appropriate for the simulations of a huge number of small particles.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Lagrangian-Eulerian and Eulerian-Eulerian Approaches for Particle Laden Free Surface Flow by Means of Lattice Boltzmann Method

Vimmr¹,

Bublík²,

Heidler³

2021

14th WCCM-ECCOMAS Congress

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The aim of this study is a comparison of Lagrangian-Eulerian and Eulerian-Eulerian numerical approach for the simulation of fluid-particles interaction. Within the study the immersed particles are restricted to have spherical shapes and are equal or smaller than the resolution of the computational mesh. The interaction between fluid and particles is performed using the immersed boundary method and the free surface flow of an incompressible fluid is simulated using the lattice Boltzmann method. Both approaches are compared within two test problems. Firstly, the swarm of particles falling in the fluid, and secondly, casting of the fluid with dispersed particles into a mold. Both tests showed good qualitative and quantitative agreement of mentioned approaches.

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“…Compared with conventional methods, LBM demonstrates significant advantages due to its parallel computation and capability to deal with complex boundary conditions [12,30,31]. As presented in the work of Trunk et al [32], the fluid and particles detached from the walls of bifurcation are treated using LBM. Jafari et al [13] computed fluid flow past a square in a channel using the LBM for small particle (diameter less or equal to 10 µm) and Reynolds number larger than 100.…”

Section: Introductionmentioning

confidence: 99%

A numerical analysis of pressure drop and particle capture efficiency by rectangular fibers using LB-DE methods

2018

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In this work, a coupled lattice Boltzmann method (LBM) and discrete element method (DEM) are used to simulate the particle transport and deposition on rectangular fibers of clean filter. The LBM is employed to describe the fluid flow around the fibers, whereas the DEM is used to deal with the particle dynamics. The effects of the Reynolds number, the fiber aspect ratio and the arrangement of fibers (i.e., orientation angle of a fiber) on the pressure drop and capture efficiency are investigated at the initial stage of the filtration process. The quality factor, commonly used to determine the filtration performance, is also studied. The simulation results illustrate that both pressure drop and capture efficiency are dependent on the orientation angle and aspect ratio. The Reynolds number has only a slight influence on the capture efficiency but has a significant effect on the pressure drop for high aspect ratio. A good filter performance can be obtained for square fiber when the orientation angle is π/4 from the quality factor standpoint.

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Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method

Cited by 29 publications

References 22 publications

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle

Application of a lattice Boltzmann method combined with a Smagorinsky turbulence model to spatially resolved heat flux inside a refrigerated vehicle

Comparison of Lagrangian-Eulerian and Eulerian-Eulerian Approaches for Particle Laden Free Surface Flow by Means of Lattice Boltzmann Method

A numerical analysis of pressure drop and particle capture efficiency by rectangular fibers using LB-DE methods

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