Simulation on soot deposition and combustion in diesel particulate filter

2009 ◽  
Vol 32 (2) ◽  
pp. 1965-1972 ◽  
Author(s):  
K. Yamamoto ◽  
S. Oohori ◽  
H. Yamashita ◽  
S. Daido
Keyword(s):  
Diesel Particulate Filter ◽  
Particulate Filter ◽  
Diesel Particulate ◽  
Soot Deposition

Boundary Conditions for Combustion Field and LB Simulation of Diesel Particulate Filter

2013 ◽  
Vol 13 (3) ◽  
pp. 769-779 ◽  
Author(s):  
Kazuhiro Yamamoto
Keyword(s):  
Lattice Boltzmann ◽  
Diesel Particulate Filter ◽  
Complex Geometry ◽  
Numerical Procedure ◽  
Soot Oxidation ◽  
Particulate Filter ◽  
Soot Combustion ◽  
Diesel Particulate ◽  
Soot Deposition ◽  
Lattice Boltzmann Simulation

AbstractA diesel particulate filter (DPF) is a key technology to meet future emission standards of particulate matters (PM), mainly soot. It is generally consists of a wall-flow type filter positioned in the exhaust stream of a diesel vehicle. It is difficult to simulate the thermal flow in DPF, because we need to consider the soot deposition and combustion in the complex geometry of filter wall. In our previous study, we proposed an approach for the conjugate simulation of gas-solid flow. That is, the gas phase was simulated by the lattice Boltzmann method (LBM), coupled with the equation of heat conduction inside the solid filter substrate. However, its numerical procedure was slightly complex. In this study, to reduce numerical costs, we have tested a new boundary condition with chemical equilibrium in soot combustion at the surface of filter substrate. Based on the soot oxidation rate with catalysts evaluated in experiments, the lattice Boltzmann simulation of soot combustion in the catalyzed DPF is firstly presented to consider the process in the after-treatment of diesel exhaust gas. The heat and mass transfer is shown to discuss the effect of catalysts.

Numerical Simulation of Soot Deposition in Diesel Particulate Filters

2006 ◽  
Author(s):  
O. Chiavola ◽  
G. Falcucci
Keyword(s):  
Diesel Particulate Filter ◽  
Particulate Filter ◽  
Diesel Particulate ◽  
Particulate Filters ◽  
Soot Deposition ◽  
Operation Period ◽  
Steady Simulation ◽  
Commercial Device ◽  
Engine Power ◽  
Catalyzed Diesel Particulate Filter

The present work treats the problems and phenomena related to the soot deposition inside a modern Diesel particulate filter, in order to realize a numerical model able to analyze how particulate matter lays down and grows over the porous walls inside a non-catalyzed diesel particulate filter. The geometry of a commercial device has been imported in a 3D CFD code and the phenomena related to the fluid while it passes through the porous media of the filter have been viewed upon with an unsteady approach for different values of engine power and torque. The obtained velocity fields have been used to calculate the profile of deposited soot after a chosen operation period and the geometry of the filter has been then refreshed for the subsequent quasi-steady simulation. The backpressure due to the growing of the soot layer has been calculated.

scholarly journals Lattice Boltzmann simulation on continuously regenerating diesel filter

2011 ◽  
Vol 369 (1945) ◽  
pp. 2584-2591 ◽  
Author(s):  
Kazuhiro Yamamoto ◽  
Kazuki Yamauchi ◽  
Naoki Takada ◽  
Masaki Misawa ◽  
Hirohide Furutani ◽  
...  
Keyword(s):  
Lattice Boltzmann ◽  
Diesel Particulate Filter ◽  
Particulate Filter ◽  
Exhaust Gas ◽  
Diesel Particulate ◽  
X Ray ◽  
Soot Deposition ◽  
Lattice Boltzmann Simulation ◽  
X Ray Computed ◽  
Diesel Filter

To reduce particulate matter (PM) including soot in diesel exhaust gas, a diesel particulate filter (DPF) has been developed. Since it is difficult to observe the phenomena in a DPF experimentally, we have conducted a lattice Boltzmann simulation. In this study, we simulated the flow in a metallic filter. An X-ray computed tomography (CT) technique was applied to obtain its inner structure. The processes of soot deposition and oxidation were included for a continuously regenerating diesel filter. By comparing experimental data, a parameter of soot deposition probability in the numerical model was determined.

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