Lattice Boltzmann simulation of dense rigid spherical particle suspensions using immersed boundary method

Thorimbert, Yann; Marson, Francesco; Parmigiani, Andrea; Chopard, Bastien; Lätt, Jonas

doi:10.1016/j.compfluid.2018.02.013

Cited by 24 publications

(20 citation statements)

References 39 publications

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“…The discrepancy between the numerical model and the correlations is however similar to that seen elsewhere in the literature e.g. [133]. It should also be noted that the correlations and numerical results presented by Thorimbert et al [133] are developed using a smooth shearing platen.…”

Section: Relative Viscosity Of Particle Suspensionssupporting

confidence: 85%

“…What can be noted from these correlations is that the behaviour of the suspension becomes more sensitive to experimental layout and material properties as the particle fraction increases. This is evidenced by the increasing spread of values for the correlations presented [130,16,133]:…”

Section: Relative Viscosity Of Particle Suspensionsmentioning

confidence: 88%

“…[133]. It should also be noted that the correlations and numerical results presented by Thorimbert et al [133] are developed using a smooth shearing platen. It is unsurprising that with the rougher platen used in this model that the suspension appears more viscous as both fluid and particle interactions with the platen are increased.…”

Section: Relative Viscosity Of Particle Suspensionsmentioning

confidence: 95%

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Numerical investigation of conjugate heat transfer and temperature-dependent viscosity in non-Brownian suspensions with application to hydraulic fracturing

McCullough¹

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Particle suspensions are relevant in a number of scientific and engineering fields, where they can occur at a wide range of scales. Examples of these include blood flow, flood debris, crystal formation, mineral processing plants and pharmaceutical production. One particular application occurs within the hydraulic fracturing process used in the oil and gas industry. Here, a fracturing fluid with a solid proppant component (typically sand) is pumped into a reservoir to increase low permeability. The fluid pressure fractures the reservoir allowing transport of proppant within the rock. On removal of the fluid, the proppant prevents the closure of fractures leading to increased reservoir permeability and enhanced production of hydrocarbons. To meet ongoing demand for fossil fuels, a growing number of unconventional oil and gas reservoirs are being exploited. One example of this is the coal seam gas industry that has emerged in Queensland, Australia. To facilitate continuing improvement of the hydraulic fracturing performance, the ongoing development of modelling techniques to better understand the physical processes occurring during a treatment is an important goal. The performance of a hydraulic fracturing treatment depends on the physical properties (e.g. density, viscosity) of the fluid to transport the proppant throughout the fracture network and maximise the permeability of the reservoir. Temperature variations from the surface to the reservoir, via the well, can alter these properties and result in unexpected performance of a fracturing operation. Current

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Section: Relative Viscosity Of Particle Suspensionssupporting

confidence: 85%

Section: Relative Viscosity Of Particle Suspensionsmentioning

confidence: 88%

Section: Relative Viscosity Of Particle Suspensionsmentioning

confidence: 95%

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Numerical investigation of conjugate heat transfer and temperature-dependent viscosity in non-Brownian suspensions with application to hydraulic fracturing

McCullough¹

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“…Generally, the immersed boundary methods (IBM) [31][32][33][34][35][36] is a group of numerical techniques to consider the coupling between the fluid flow and the solid movement. 37 Here, we focus on immersed moving boundary (IMB) for LBM which is different from the traditional immersed boundary method (IBM). It is proposed in Reference [19] and then extended in.…”

Section: Original Immersed Moving Boundary Methods For Lbmmentioning

confidence: 99%

An improved immersed moving boundary for hydrodynamic force calculation in lattice Boltzmann method

Chen

Wang

2020

Numerical Meth Engineering

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Summary Particles suspension is considerably prevalent in petroleum industry and chemical engineering. The efficient and accurate simulation of such a process is always a challenge for both the traditional computational fluid dynamics and lattice Boltzmann method. Immersed moving boundary (IMB) method is promising to resolve this issue by introducing a particle‐fluid interaction term in the standard lattice Boltzmann equation, which allows for the smooth hydrodynamic force calculation even for a large grid size relative to the solid particle. Although the IMB method was proved good for stationary particles, the deviation of hydrodynamic force on moving particles exists. In this work, we reveal the physical origin of this problem first and figure out that the internal fluid effect on the hydrodynamic force calculation is not counted in the previous IMB. An improved immersed moving boundary method is therefore proposed by considering the internal fluid correction, which is easy to implement with the little extra computation cost. A 2D single elliptical particle and a 3D sphere sedimentation in Newtonian fluid is simulated directly for the validation of the corrected model by excellent agreements with the standard data.

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“…In recent years, the rising interest in complex flows in numerous applications such as particulate suspensions [1], porous media [2,3], blood flow [4], and multiphase flow [5] gave a new impulse to research on local boundary conditions for the lattice Boltzmann Method (LBM). Local boundary methods for curved geometries can deliver a precise flow description, needing to access the flow variables only on a single node located next to the surface.…”

Section: Introductionmentioning

confidence: 99%

Enhanced single-node lattice Boltzmann boundary condition for fluid flows

et al. 2021

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We propose a procedure to implement Dirichlet velocity boundary conditions for complex shapes that use data from a single node only, in the context of the lattice Boltzmann method. Two ideas are at the base of this approach. The first is to generalize the geometrical description of boundary conditions combining bounce-back rule with interpolations. The second is to enhance them by limiting the interpolation extension to the proximity of the boundary. Despite its local nature, the resulting method exhibits second-order convergence for the velocity field and shows similar or better accuracy than the well-established Bouzidi's scheme for curved walls [M. Bouzidi, M. Firdaouss, and P. Lallemand, Phys. Fluids 13, 3452 ( 2001)]. Among the infinite number of possibilities, we identify several meaningful variants of the method, discerned by their approximation of the second-order nonequilibrium terms and their interpolation coefficients. For each one, we provide two parametrized versions that produce viscosity independent accuracy at steady state. The method proves to be suitable to simulate moving rigid objects or surfaces moving following either the rigid body dynamics or a prescribed kinematic. Also, it applies uniformly and without modifications in the whole domain for any shape, including corners, narrow gaps, or any other singular geometry.

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Lattice Boltzmann simulation of dense rigid spherical particle suspensions using immersed boundary method

Cited by 24 publications

References 39 publications

Numerical investigation of conjugate heat transfer and temperature-dependent viscosity in non-Brownian suspensions with application to hydraulic fracturing

Numerical investigation of conjugate heat transfer and temperature-dependent viscosity in non-Brownian suspensions with application to hydraulic fracturing

An improved immersed moving boundary for hydrodynamic force calculation in lattice Boltzmann method

Enhanced single-node lattice Boltzmann boundary condition for fluid flows

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