Simulation Of Polymer Xanthan Gum Flow Through Synthetic Fracture Using Lattice Boltzmann Method

2018 ◽  
Author(s):  
Muhammad Aufaristama
Keyword(s):  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Xanthan Gum ◽  
Flow Through ◽  
Boltzmann Method

Highly resolved pulsatile flows through prosthetic heart valves using the entropic lattice-Boltzmann method

2014 ◽  
Vol 754 ◽  
pp. 122-160 ◽  
Author(s):  
B. Min Yun ◽  
L. P. Dasi ◽  
C. K. Aidun ◽  
A. P. Yoganathan
Keyword(s):  
Lattice Boltzmann Method ◽  
Pulsatile Flow ◽  
Lattice Boltzmann ◽  
Heart Valves ◽  
Prosthetic Heart Valves ◽  
Spatiotemporal Resolution ◽  
Jude Medical ◽  
High Spatiotemporal Resolution ◽  
Flow Through ◽  
Boltzmann Method

AbstractProsthetic heart valves have been widely used to replace diseased or defective native heart valves. Flow through bileaflet mechanical heart valves (BMHVs) have previously demonstrated complex phenomena in the vicinity of the valve owing to the presence of two rigid leaflets. This study aims to accurately capture the complex flow dynamics for pulsatile flow through a 23 mm St Jude Medical (SJM) Regent™ BMHV. The lattice-Boltzmann method (LBM) is used to simulate pulsatile flow through the valve with the inclusion of reverse leakage flow at very high spatiotemporal resolution that can capture fine details in the pulsatile BMHV flow field. For higher-Reynolds-number flows, this high spatiotemporal resolution captures features that have not been observed in previous coarse resolution studies. In addition, the simulations are able to capture with detail the features of leaflet closing and the asymmetric b-datum leakage jet during mid-diastole. Novel flow physics are visualized and discussed along with quantification of turbulent features of this flow, which is made possible by this parallelized numerical method.

Lattice-Boltzmann Method for Macroscopic Porous Media Modeling

1998 ◽  
Vol 09 (08) ◽  
pp. 1491-1503 ◽  
Author(s):  
David M. Freed
Keyword(s):  
Porous Medium ◽  
Porous Media ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Inertial Effects ◽  
Simulation Region ◽  
Flow Through ◽  
Previous Algorithm ◽  
Validation Tests ◽  
Boltzmann Method

An extension to the basic lattice-BGK algorithm is presented for modeling a simulation region as a porous medium. The method recovers flow through a resistance field with arbitrary values of the resistance tensor components. Corrections to a previous algorithm are identified. Simple validation tests are performed which verify the accuracy of the method, and demonstrate that inertial effects give a deviation from Darcy's law for nominal simulation velocities.

Simulation of flow through bead packs using the lattice Boltzmann method

1998 ◽  
Vol 10 (1) ◽  
pp. 60-74 ◽  
Author(s):  
R. S. Maier ◽  
D. M. Kroll ◽  
Y. E. Kutsovsky ◽  
H. T. Davis ◽  
R. S. Bernard
Keyword(s):  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Flow Through ◽  
Boltzmann Method

Simulation of High Knudsen Number Gas Flows in Nanochannels via the Lattice Boltzmann Method

2011 ◽  
Vol 403-408 ◽  
pp. 5318-5323
Author(s):  
A.H. Meghdadi Isfahani ◽  
A. Soleimani ◽  
A. Homayoon
Keyword(s):  
Lattice Boltzmann Method ◽  
Knudsen Number ◽  
Lattice Boltzmann ◽  
Numerical Data ◽  
Gas Flows ◽  
Wide Range ◽  
Flow Through ◽  
Boltzmann Method ◽  
Slip Transition ◽  
Pressure Driven Flow

Using a modified Lattice Boltzmann Method (LBM), pressure driven flow through micro and nano channels has been modeled. Based on the improving of the dynamic viscosity, an effective relaxation time formulation is proposed which is able to simulate wide range of Knudsen number, Kn, covering the slip, transition and to some extend the free molecular regimes. The results agree very well with exiting empirical and numerical data.

Simulation of Sound Generation by Flow over a Cavity with the Lattice Boltzmann Method

2012 ◽  
Vol 184-185 ◽  
pp. 456-459
Author(s):  
Shan Ling Han ◽  
Li Sha Yu ◽  
Gui Shen Wang ◽  
Qing Liang Zeng
Keyword(s):  
Shear Layer ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Fluid Flows ◽  
Cavity Resonance ◽  
Aerodynamic Noise ◽  
Mesoscopic Models ◽  
Flow Through ◽  
Flow Over A Cavity ◽  
Boltzmann Method

The fluid flows and its related aerodynamic noise are very common in the nature and the engineering fieds. Lattice Boltzmann Method (LBM), which is based on the mesoscopic models, is a new CFD approach. It has the congenital superiority and the inestimable development potential in the simulation of complex fluid flow. Referring to the experimental results provided by NASA/CP 2004-212954, the aerodynamic noise produced by the flow through a cavity is simulated by the lattice Boltzmann method. The results had vividly demonstrated the shear layer oscillations, the couple between the shear layer oscillations and cavity resonance pattern. This simulation has discovered that the shear layer oscillation is the main reason for the production of cavity aerodynamic noise. The simulation results are consistent with the NASA experiment data.

Implementation of Multi-GPU Based Lattice Boltzmann Method for Flow Through Porous Media

2015 ◽  
Vol 7 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Changsheng Huang ◽  
Baochang Shi ◽  
Nanzhong He ◽  
Zhenhua Chai
Keyword(s):  
Porous Media ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Message Passing Interface ◽  
Gpu Computing ◽  
Processing Unit ◽  
Flow Through Porous Media ◽  
Communication Time ◽  
Flow Through ◽  
Boltzmann Method

AbstractThe lattice Boltzmann method (LBM) can gain a great amount of performance benefit by taking advantage of graphics processing unit (GPU) computing, and thus, the GPU, or multi-GPU based LBM can be considered as a promising and competent candidate in the study of large-scale fluid flows. However, the multi-GPU based lattice Boltzmann algorithm has not been studied extensively, especially for simulations of flow in complex geometries. In this paper, through coupling with the message passing interface (MPI) technique, we present an implementation of multi-GPU based LBM for fluid flow through porous media as well as some optimization strategies based on the data structure and layout, which can apparently reduce memory access and completely hide the communication time consumption. Then the performance of the algorithm is tested on a one-node cluster equipped with four Tesla C1060 GPU cards where up to 1732 MFLUPS is achieved for the Poiseuille flow and a nearly linear speedup with the number of GPUs is also observed.

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