A Quasi Two Dimensional Model of Transport Phenomena in Diesel Particulate Filters - The Effects of Particle and Wall Pore Diameter on the Pressure Drop -

Uenishi, Toru; Tanaka, Eijiro; Shigeno, Genki; Fukuma, Takao; Kusaka, Jin; Daisho, Yasuhiro

doi:10.4271/2015-01-2010

Cited by 11 publications

(4 citation statements)

References 4 publications

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“…In fact, the pressure drop of d soot = 75 nm is initially larger. However, when time elapses, the pressure drop of the larger soot is conversely superior, which is the same tendency reported by the engine test bench [36].…”

Section: Effect Of Soot Size On Pressure Dropsupporting

confidence: 85%

Numerical Simulation of Particle-Laden Flow and Soot Layer Formation in Porous Filter

Yamamoto

Yagasaki

2022

Solids

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So far, diesel particulate filters (DPFs) have been widely used to collect diesel particulates including soot in the exhaust after-treatment. However, as the soot is continuously collected in the porous filter, the exhaust pressure (pressure drop) increases. To optimize the filter design for reducing its pressure drop, we need a numerical simulation. In this study, we simulated the particle-laden flow across the DPF. Structure of SiC-DPF was obtained by an X-ray CT technique. We conducted the numerical simulation by changing the soot aggregation diameter (simply called soot size), and evaluated the time-variation of the pressure drop. For discussing the soot deposition process, the contributions of the Brownian diffusion and the interception effect were separately estimated. Especially, we focused on the soot deposition region which could affect the pressure drop, together with the soot cake permeability and the soot packing density. Results show that, as the soot size is smaller, more soot is trapped. As a result, the shift from the depth filtration to the surface filtration is observed earlier. Therefore, for discussing the pressure drop, it is important to consider where the soot deposition occurs as well as the deposited soot mass in the filter.

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Section: Effect Of Soot Size On Pressure Dropsupporting

confidence: 85%

Numerical Simulation of Particle-Laden Flow and Soot Layer Formation in Porous Filter

Yamamoto

Yagasaki

2022

Solids

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“…Due to the filtration, the soot was trapped on the filter substrate or the soot deposition region. The soot deposition model proposed by Uenishi et al 18 was adopted. In their model, the soot aggregate particle is trapped by the Brownian diffusion and the interception effect.…”

Section: Methodsmentioning

confidence: 99%

Mechanism for pressure drop variation caused by filtration of diesel particulates

Yamamoto

Tajima

2019

International Journal of Engine Research

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Diesel engines have better fuel consumption efficiency than gasoline engines. To reduce the particle emission in the diesel exhaust, a ceramic filter, called diesel particulate filter, has been developed. Unfortunately, the pressure drop (filter backpressure) continues to increase, resulting in an increase in fuel conversion rate as well as available torque. In order to develop the filter with lower pressure drop, the filter structure is strategically optimized in the design of the filter product. To do so, the information on phenomena during the filtration is needed. This article sets out numerically to study the variation in the pressure drop when the particulates are trapped inside the porous walls of diesel particulate filter. To discuss the flow dynamics and pressure drop caused by the soot deposition, the numerical simulation is purposely conducted in two-dimensional coordinate. This is because the variation in flow channel through pores during the filtration can be visualized easily. Here, eight filters were tested systematically. Utilizing these simulation results, we try to explain the main factors for the pressure drop variation during the filtration. Based on the presented results, it is shown that the flow field is gradually varied during the filtration. The knowledge regarding the well-known pressure drop variation observed in the stage from the depth filtration to the surface filtration is provided.

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“…25 Exploring the relationship between wall porosity and permeability under different soot loading amounts, Uenishi et al developed a quasi-two-dimensional model able to predict the porosity in the filter wall. 26 Assuming low soot penetration thickness inside the porous wall, Serrano et al presented a filtration model to examine the combined response of filtration efficiency and pressure drop based on the theory of packed beds of spherical particles. 27 Concerning the accuracy of active regeneration trigger time, Bai et al established a new soot loading model to predict the soot accumulation in the DPF.…”

Section: Introductionmentioning

confidence: 99%

“…For non-homogeneous substrate structures, Bollerhoff et al proposed an advanced collection model to account for the filtration characteristic . Exploring the relationship between wall porosity and permeability under different soot loading amounts, Uenishi et al developed a quasi-two-dimensional model able to predict the porosity in the filter wall . Assuming low soot penetration thickness inside the porous wall, Serrano et al presented a filtration model to examine the combined response of filtration efficiency and pressure drop based on the theory of packed beds of spherical particles .…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation on the Progressive Evolution of Regeneration Pattern with Feed Temperature in a Wall-Flow-Catalyzed Diesel Particulate Filter

Wang

Deng

Yan

et al. 2022

Ind. Eng. Chem. Res.

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A two-dimensional transient model for wall-flowcatalyzed diesel particulate filter (DPF) regeneration is applied to investigate the regeneration process of DPF. User-defined subroutines are coupled to the commercial computational fluid dynamics code ANSYS Fluent to implement soot oxidation kinetics. Numerical results reveal that filter regeneration can proceed in three modes depending on the feed temperature: uniform combustion mode (Pattern I), transition mode (Pattern II), and propagating front mode (Pattern III). Pattern I is characterized by a small temperature rise of 20−160 K and a long regeneration time of about 600−2400 s. In contrast, Pattern III is characterized by a high peak temperature greater than 1400 K and a short regeneration time smaller than 40 s. Pattern II is the transition (mixed) mode in which the filter is regenerated by a moving reaction front which cannot conquer the whole filter length. For Pattern III, the propagating front originates from the downstream (subpattern a) to the midstream (sub-pattern b) to the upstream (sub-pattern c) as the feed temperature is increased from 893 to 943 K. Sub-pattern c results in the maximum peak temperature under all investigated operation conditions, while not shortening the regeneration time compared to sub-pattern a and sub-pattern b. These findings help to attain more favorable schemes for the thermal management optimization in DPF regeneration.

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A Quasi Two Dimensional Model of Transport Phenomena in Diesel Particulate Filters - The Effects of Particle and Wall Pore Diameter on the Pressure Drop -

Cited by 11 publications

References 4 publications

Numerical Simulation of Particle-Laden Flow and Soot Layer Formation in Porous Filter

Numerical Simulation of Particle-Laden Flow and Soot Layer Formation in Porous Filter

Mechanism for pressure drop variation caused by filtration of diesel particulates

Numerical Investigation on the Progressive Evolution of Regeneration Pattern with Feed Temperature in a Wall-Flow-Catalyzed Diesel Particulate Filter

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