Soot Particle Deposition within Porous Structures using a Method-of-Moments-Lattice-Boltzmann Approach

2006 ◽  
Vol v4 (i2) ◽  
pp. 221-232
Author(s):  
Bernhard F.W. Gschaider ◽  
Claudia C. Honeger ◽  
Christian E. P. Redl ◽  
Johannes Leixnering
Keyword(s):  
Method Of Moments ◽  
Lattice Boltzmann ◽  
Particle Deposition ◽  
Soot Particle ◽  
Porous Structures

Kinetic Approach for Solid Inertial Particle Deposition in Turbulent Near-Wall Region Flow Lattice Boltzmann Based Numerical Resolution

2011 ◽  
Author(s):  
E. Diounou ◽  
P. Fede ◽  
R. Fournier ◽  
S. Blanco ◽  
O. Simonin
Keyword(s):  
Random Walk ◽  
Kinetic Equation ◽  
Lattice Boltzmann ◽  
Particle Deposition ◽  
Isotropic Turbulence ◽  
Solid Particles ◽  
Wall Region ◽  
Inertial Particles ◽  
Two Phase ◽  
Numerical Resolution

The purpose of the paper is the deposition on the wall of inertial solid particles suspended in turbulent flow. The modeling of such a system is based on a statistical description using a Probability Density Function. In the PDF transport equation, an original model proposed Aguinaga et al. (2009) is used to close the term representing the fluid-particle interactions. The resulting kinetic equation may be difficult to solve especially in the case of the particle response time is smaller than the integral time scale of the turbulence. In the present paper, the Lattice Boltzmann Method is used in order to overcome such numerical problems. The accuracy of the method and its ability to solve the two-phase kinetic equation is analyzed in the simple case of inertial particles in homogeneous isotropic turbulence for which Lagrangian random walk simulation results are available. The results from LBM are in accordance with the random walk simulations.

Lattice Boltzmann Simulation of Mass Transfer Coefficients for Chemically Reactive Flows in Porous Media

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
A. Xu ◽  
T. S. Zhao ◽  
L. Shi ◽  
J. B. Xu
Keyword(s):  
Mass Transfer ◽  
Porous Structure ◽  
Transfer Coefficient ◽  
Mass Transfer Coefficient ◽  
Flow Regime ◽  
Lattice Boltzmann ◽  
Porous Structures ◽  
Reactive Flows ◽  
Chemically Reactive Flows ◽  
Ordered Porous

We present lattice Boltzmann (LB) simulations for the mass transfer coefficient from bulk flows to pore surfaces in chemically reactive flows for both ordered and disordered porous structures. The ordered porous structure under consideration consists of cylinders in a staggered arrangement and in a line arrangement, while the disordered one is composed of randomly placed cylinders. Results show that the ordered porous structure of staggered cylinders exhibits a larger mass transfer coefficient than ordered porous structure of inline cylinders does. It is also found that in the disordered porous structures, the Sherwood number (Sh) increases linearly with Reynolds number (Re) at the creeping flow regime; the Sh and Re exhibit a one-half power law dependence at the inertial flow regime. Meanwhile, for Schmidt number (Sc) between 1 and 10, the Sh is proportional to Sc0.8; for Sc between 10 and 100, the Sh is proportional to Sc0.3.

Numerical Simulations of Droplets on the Hydrophobic and Hydrophilic Walls by Lattice Boltzmann Method

2011 ◽  
Author(s):  
Yosuke Matsukuma ◽  
Gen Inoue ◽  
Masaki Minemoto
Keyword(s):  
Porous Structure ◽  
Numerical Simulations ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Complex Geometry ◽  
Packed Bed ◽  
Wall Friction ◽  
Porous Structures ◽  
Liquid Flows ◽  
Boltzmann Method

Gas-liquid flows in/on porous structures are simulated by using of the two-phase Lattice Boltzmann method (LBM), in which the wetting boundary conditions on solid wall with complex geometry are incorporated. The complex geometry simulating the packed bed is numerically constructed by the discrete element method (DEM). It is confirmed that structure of the simulated packed bed is similar to the actual bed by comparison of wall friction factor. Next the behaviors of droplet on the porous structures are simulated with different wetting properties. For hydrophilic cases, the droplets set on the porous structure at initial stage penetrated into the porous structure as time marching on and spread in the bed. It was shown that the droplet behavior depends on the surface tension and its viscosity. From these numerical simulations, the applicability of LBM to Gas-liquid flows in/on porous structures was confirmed.

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