Numerical research of the infinitely wide wedge flow based on the lattice Boltzmann method

Jiao, Chunxiao; Leng, Zijun; Zou, Donglin; Ta, Na; Rao, Zhushi

doi:10.1177/1350650120962929

Cited by 8 publications

(6 citation statements)

References 20 publications

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“…Summarizing previous studies, general dynamic flows can be divided into three different modes according to the inlet velocity and working environment: piston, shear, and Poiseuille flows [35,36]. Clearly, the inlet flow rate of the piston flow is constant, and the contacting magnetic particles always remain in contact as they move in the piston fluid.…”

Section: Two Magnetic Particles In a Dynamic Flowmentioning

confidence: 99%

Numerical simulation of effectively driving the trajectory of magnetic particles in a Newtonian fluid using a uniform magnetic field

Chen²,

Bo³

et al. 2022

J. Phys. D: Appl. Phys.

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Herein, the interaction and relative motion of two circular magnetic particles in a static flow and planar Poiseuille flow is investigated via numerical simulation. A two-dimensional numerical model is constructed based on Maxwell’s finite element method, fully considering the interactions between particles and particles, particles and magnetic fields, and particles and flow fields. First, the motion state and action mechanism of the magnetic particles in contact state in the static fluid are analyzed under a vertical magnetic field; then, the simulation results are verified via experiments. Based on the motion state of the magnetic particles in the planar Poiseuille flow, the feasibility of effectively controlling the trajectory of magnetic particles in the planar Poiseuille flow using a magnetic field is discussed. In the static flow, the vertical magnetic field was unable to separate the contacting magnetic particles; thus, the magnetic field cannot effectively control magnetic particles in static flows. In the planar Poiseuille flow, the free contact and separation of magnetic particles was effectively controlled by the combined action of the magnetic field and the fluid. This study provides insights into the interactions among magnetic particles in static flows and summarizes a set of methods for effectively controlling two circular magnetic particles.

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Section: Two Magnetic Particles In a Dynamic Flowmentioning

confidence: 99%

Numerical simulation of effectively driving the trajectory of magnetic particles in a Newtonian fluid using a uniform magnetic field

Chen²,

Bo³

et al. 2022

J. Phys. D: Appl. Phys.

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“…The results show that the application of LBM can improve the tribological modeling capability by fully considering the geometric surface features. Jiao et al [21] used LBM to analyze linear, parabolic and harmonic wedge models, giving the velocity distribution of the flow field and the corresponding bearing capacity, and also studied the pressure distribution of different types of wedges.…”

Section: Introductionmentioning

confidence: 99%

“…There are still the following issues that need to be further improved when using LBM to calculate lubrication: (1) When dealing with irregular shape boundaries, the problem of non-overlapping between lattice points and solid boundaries needs to be solved to restore geometric integrity. Therefore, when using LBM for lubrication, the problem of lattice points and solid boundaries not overlapping needs to be further addressed [21]. (2) Previous studies often obtained results in dimensionless units without unit conversion, which cannot be applied to engineering calculations [21,27].…”

Section: Introductionmentioning

confidence: 99%

Micro Lubrication and Heat Transfer in Wedge-Shaped Channel Slider with Convex Surface Texture Based on Lattice Boltzmann Method

Fang,

Liu,

Wang

et al. 2024

Nanomaterials

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Hydrodynamic lubrication is widely used between two relatively moving objects, and the effect of fluid flow state and temperature distribution on lubrication performance in wedge-shaped gaps is a popular topic to study. In this paper, the incompressible double-distribution lattice Boltzmann method (LBM) is applied to study the effect of micro convex surface texture on micro lubrication and heat transfer in wedge-shaped channels. By comparing this model with the analytical solution of an infinitely wide wedge slider, the maximum pressure calculated by LBM is 0.1081 MPa, and the maximum pressure calculated by the Reynolds equation is 0.1079 MPa. The error of the maximum pressure is 1.11%, and the Reynolds equation result is slightly smaller. The reason is that the Reynolds equation ignores the influence of fluid inertia force on oil film pressure. The results indicate that the application of LBM can be used to study lubrication problems. Compared with the Reynolds equation, LBM can calculate the velocity field and pressure field in the film thickness direction, and can also observe precise flow field details such as vortices. Three micro convex texture shapes were established to study the effects of different convex textures on micro lubrication and oil film temperature distribution, and the velocity distribution, temperature distribution and oil film pressure along the oil film thickness direction were given. Under the same conditions, comparing the oil film pressure with and without surface texture, the results show that the maximum oil film pressure with surface texture 3 is increased by about 4.34% compared with that without surface texture. The slightly convex texture can increase the hydrodynamic lubrication effect and obtain greater load-bearing capacity, helping to reduce the possibility of contact friction. The results show that the convex surface texture can improve the hydrodynamic lubrication performance, increase the load carrying capacity and reduce the possibility of contact friction, and the convex surface texture can influence the temperature distribution of the oil film. At 3.6 mm in the slider length direction and 7.5 μm in the oil film thickness direction, the temperature of surface texture 1 is 402.64 K, the temperature of surface texture 2 is 403.31 K, and the temperature of surface texture 3 is 403.99 K. The presence of vortices is captured at a high convergence ratio.

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“…Lattice Boltzmann method (LBM) has been actively applied to fluid flow simulation. For example, simulating the transport of particles in a turbulent channel flow, 1,2 fluid flow of the infinitely wide wedge, 3 gas–liquid two‐phase flow, 4,5 or indoor airflows 6,7 …”

Section: Introductionmentioning

confidence: 99%

Regularized lattice Boltzmann method parallel model on heterogeneous platforms

Liu

Song

2022

Concurrency and Computation

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As an improved method of lattice Boltzmann method (LBM), regularized lattice Boltzmann method (RLBM) has been applied to simulate fluid flow. Nevertheless, the performance of RLBM needs to be considered when simulating actual problems. The rise of multicore platforms, especially the popularity of graphics processor units (GPUs), has provided possible implementation solutions for parallel computing. In this article, an RLBM parallel model on the CPU/GPU heterogeneous platforms is proposed. To solve the problem of possible GPU memory shortage, the CPU controls the startup of the kernel function in the RLBM algorithm and participates in the calculation. Due to the characteristics of the algorithm, the entire flow field is divided into CPU computing areas and GPU computing areas according to the given flow field division rules. OpenMP and CUDA are, respectively, applied to CPU and GPU for parallel computing. The startup of the kernel function takes a short time, and the CPU and GPU can be approximately regarded as performing calculations simultaneously. Since the data exchange between the CPU and GPU has a significant impact on performance, a buffer is set at the boundary of the CPU and GPU to reduce the frequency of data exchange. The buffer size determines the number of program iterations before exchanging data. The performance of the algorithm is measured by MFLUPS, and the algorithm is applied to the 3D lid‐driven cavity flow. The obtained results show that the MFLUPS of the algorithm is 25 times that of CPU MFLUPS, and it adds an increment equivalent to CPU MFLUPS compared with GPU MFLUPS. And the algorithm is extended to a multi‐GPU version, which is also applied to the 3D lid‐driven cavity flow. The results obtained show that the MFLUPS of the multi‐GPU version is 1.8 times that of the single GPU.

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Numerical research of the infinitely wide wedge flow based on the lattice Boltzmann method

Cited by 8 publications

References 20 publications

Numerical simulation of effectively driving the trajectory of magnetic particles in a Newtonian fluid using a uniform magnetic field

Numerical simulation of effectively driving the trajectory of magnetic particles in a Newtonian fluid using a uniform magnetic field

Micro Lubrication and Heat Transfer in Wedge-Shaped Channel Slider with Convex Surface Texture Based on Lattice Boltzmann Method

Regularized lattice Boltzmann method parallel model on heterogeneous platforms

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