Nanoparticle motion trajectories and deposition in an inlet channel of wall-flow diesel particulate filter

Liu, Yunqing; Gong, Jinke; Fu, Jun; Cai, Hao; Li, Gang

doi:10.1016/j.jaerosci.2008.12.001

Cited by 38 publications

(23 citation statements)

References 30 publications

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“…The model proposed in section 3 would allow the step by step calculation of the permeability in the porous wall with axial resolution if it was coupled with a soot filtration model to determine the collected soot mass, as those proposed by Liu [28] to study motion of nanoparticles in the inlet channels; Tandon [29], whose model focuses on filtration efficiency prediction; or Bollerhoff [30], who applies a filtration efficiency model as tool to evaluate performance of inhomogeneous porous wall structures. Hence, it is possible to predict the DPF pressure drop during the deep bed filtration regime.…”

Section: Methodology and Calculation Hypothesismentioning

confidence: 99%

Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

Serrano

Arnau

García-Afonso

2013

Energy

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ElsevierSerrano Cruz, JR.; Arnau Martínez, FJ.; Piqueras Cabrera, P.; Garcia Afonso, O. (2013) AbstractThe soot loading process in wall-flow DPFs affects the substrate structure depending on the filtration regime and produces the increase of pressure drop. Deep bed filtration regime produces the decrease of the porous wall permeability because of the soot particulates deposition inside it. Additionally, a layer of soot particulates grows on the porous wall surface when it becomes saturated. As soot loading increases, the pressure drop across the DPF depends on the porous wall and particulate layer permeabilities, which are in turn function of the substrate and soot properties. The need to consider the DPF pressure drop influence on engine performance analysis or DPF regeneration processes requires the use of low-computational effort models describing the structure of the soot deposition and its effect on permeability.This paper presents a model to describe the micro-scale of the porous wall and the particulate layer structure assuming them as packed beds of spherical particles. To assess the model's capability, it is applied to predict the DPF pressure drop under different experimental conditions in soot loading, mass flow and gas temperature.

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Section: Methodology and Calculation Hypothesismentioning

confidence: 99%

Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

Serrano

Arnau

García-Afonso

2013

Energy

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“…Only the hydrodynamic drag was evaluated in the analysis by Piscaglia et al (2005). A similar approach was used by Liu et al (2009) to study the particle motion in a single-channel of a DPF. In addition to drag force, they included partial slip and Brownian motion in their model.…”

Section: Cmentioning

confidence: 99%

“…For the particle-laden diesel exhaust gas, the particle volume fraction is around 2 Â 10 À 5 based on the particle concentration of 20 mg/m 3 (Zhang & Yang, 2002;Liu et al, 2009). Hence, the soot included in the exhaust gas is rarefied enough so that the effects of soot on the gas flow and the interaction between the soot particles can be neglected.…”

Section: Particle Transport and Motion In Inlet Headermentioning

confidence: 99%

Distribution characteristics of exhaust gases and soot particles in a wall-flow ceramics filter

Кузнецов

Jasper

2011

Journal of Aerosol Science

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“…The modeled wall flow velocity (U w ) for three different permeability values (k w ) is shown in Fig. 1 [10]. The wall flow velocity tends to have a nearly linear profile along the length of the CPF for low permeability values.…”

Section: Introductionmentioning

confidence: 99%

“…Fig. 1 Wall flow velocity for three permeability values [10]. Reprinted from Journal of Aerosol Science, 40/4, Liu, Y., Gong, J., Fu, J., Cai, H., Long, G., Nanoparticle motion trajectories and deposition in an inlet channel of wall-flow diesel particulate filter, page 316, copyright 2008, with permission from Elsevier Ranalli, Hossfeld, Kaiser, Schmidt, and Elfinger [18] found that the exhaust flow rate at which a substrate is loaded would affect the uniformity of the radial PM distribution.…”

Section: Introductionmentioning

confidence: 99%

Experimental Measurements of Particulate Matter Distribution in a Catalyzed Particulate Filter

Foley

Johnson

Naber

et al. 2014

Emiss. Control Sci. Technol.

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The investigation of the distribution of particulate matter (PM) inside a catalyzed particulate filter (CPF) is studied in this work. The goal was to identify how loading, passive oxidation, active regeneration, and post loading conditions affect the PM distribution. The PM distribution was measured using an Advantest TAS7000 3D Imaging Analysis System, which nondestructively measures the PM distribution. A total of nine experiments were conducted, resulting in three loading scans, four passive oxidation scans, four active regeneration scans, and two post loading scans. The loading experiments were run with two different target PM loadings of 3 and 5 g/L. The passive oxidation experiments were run under two different engine conditions, and four different amounts of PM were oxidized. The active regeneration experiments were run at two target temperatures of 525 and 600°C, and four levels of PM were oxidized. One post loading experiment was completed after a passive oxidation, and one was completed after an active regeneration. The results show that the PM distribution after loading is similar to the model-predicted PM distribution, which is calculated using the wall flow velocity distribution. The amount of PM in the substrate affects the axial distribution uniformity. The amount of PM passively oxidized or actively regenerated affects the axial distribution uniformity as well. The effect of post loading is dependent on whether the PM was passively oxidized or actively regenerated.

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Nanoparticle motion trajectories and deposition in an inlet channel of wall-flow diesel particulate filter

Cited by 38 publications

References 30 publications

Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

Distribution characteristics of exhaust gases and soot particles in a wall-flow ceramics filter

Experimental Measurements of Particulate Matter Distribution in a Catalyzed Particulate Filter

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