Efficient parallel implementation of two‐phase Lattice‐Boltzmann flow simulation

2002 ◽  
Author(s):  
Youngseuk Keehm ◽  
Tapan Mukerji ◽  
Amos Nur
Keyword(s):  
Lattice Boltzmann ◽  
Parallel Implementation ◽  
Flow Simulation ◽  
Two Phase

scholarly journals Lattice Boltzmann simulation of liquid falling on horizontal rectangular pillar arrays

2021 ◽  
Vol 321 ◽  
pp. 01014
Author(s):  
Makoto Sugimoto ◽  
Tatsuya Miyazaki ◽  
Zelin Li ◽  
Masayuki Kaneda ◽  
Kazuhiko Suga
Keyword(s):  
Lattice Boltzmann ◽  
Three Dimensional ◽  
Phase Field Model ◽  
Flow Simulation ◽  
High Viscosity ◽  
Two Phase ◽  
Lattice Boltzmann Simulation ◽  
Pillar Arrays ◽  
Boltzmann Method ◽  
Behavior Characteristic

Stator coils of automobiles in operation generate heat and are cooled by a coolant poured from above. Since the behavior characteristic of the coolant poured on the coils is not clarified yet due to its complexity, the three-dimensional two-phase flow simulation is conducted. In this study, as a steppingstone to the simulation of the liquid falling on the actual coils, the coils are modelled with horizontal rectangular pillar arrays whose governing parameters can be easily changed. The two-phase flows are simulated using the lattice Boltzmann method and the phase-field model, and the effects of the governing parameters, such as the physical properties of the cooling liquid, the wettability, and the gap between the pillars, on the wetting area are investigated. The results show that the oil tends to spread across the pillars because of its high viscosity. Moreover, the liquid spreads quickly when the contact angle is small. In the case that the pillars are stacked, the wetting area of the inner pillars is larger than that of the exposed pillars.

scholarly journals Lattice Boltzmann Model of 3D Multiphase Flow in Artery Bifurcation Aneurysm Problem

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Aizat Abas ◽  
N. Hafizah Mokhtar ◽  
M. H. H. Ishak ◽  
M. Z. Abdullah ◽  
Ang Ho Tian
Keyword(s):  
Relaxation Time ◽  
Lattice Boltzmann ◽  
Parallel Implementation ◽  
Imaging Techniques ◽  
Flow Simulation ◽  
Computation Time ◽  
Lattice Boltzmann Model ◽  
Ansys Fluent ◽  
Bifurcation Aneurysm ◽  
Time Required

This paper simulates and predicts the laminar flow inside the 3D aneurysm geometry, since the hemodynamic situation in the blood vessels is difficult to determine and visualize using standard imaging techniques, for example, magnetic resonance imaging (MRI). Three different types of Lattice Boltzmann (LB) models are computed, namely, single relaxation time (SRT), multiple relaxation time (MRT), and regularized BGK models. The results obtained using these different versions of the LB-based code will then be validated with ANSYS FLUENT, a commercially available finite volume- (FV-) based CFD solver. The simulated flow profiles that include velocity, pressure, and wall shear stress (WSS) are then compared between the two solvers. The predicted outcomes show that all the LB models are comparable and in good agreement with the FVM solver for complex blood flow simulation. The findings also show minor differences in their WSS profiles. The performance of the parallel implementation for each solver is also included and discussed in this paper. In terms of parallelization, it was shown that LBM-based code performed better in terms of the computation time required.

Liquid Water and Gas Flow Simulation in a Channel of PEM Fuel Cells Using the Lattice Boltzmann Method

2010 ◽  
Author(s):  
Ben Salah Yasser ◽  
Yutaka Tabe ◽  
Takemi Chikahisa
Keyword(s):  
Lattice Boltzmann ◽  
Gas Flow ◽  
Polymer Electrolyte Membrane ◽  
Flow Simulation ◽  
Pem Fuel Cells ◽  
Initial Position ◽  
Two Phase ◽  
Cross Sectional ◽  
Gas Channel ◽  
Condensed Water

In a polymer electrolyte membrane (PEM) fuel cell, the condensed water in the gas channel prevents the supply of reactants to electrodes, which deteriorates the cell performance. The Lattice Boltzmann simulation has been conducted to understand the behavior of condensed water in the gas channels. The scheme of the two-phase flow with large density difference was applied to find the optimum gas channel design. The present simulation demonstrates the effect of the cross-sectional shape, the droplet initial position, droplet volume and the air flow velocity for a hydrophobic gas channel. Introducing a new dimensionless parameter, which is the pump work needed to remove the droplet from the gas channel, we investigate the effect of each parameter on the drain performance of a PEM fuel cell’s gas channel.

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