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Research Papers

Flow and Pressure Variations Through Porous Filter During Soot Filtration and Regeneration

[+] Author and Article Information
Kazuhiro Yamamoto

Department of Mechanical and System Engineering,
Nagoya University,
Chikusa, Furo,
Nagoya 4648603, Aichi-ken, Japan
e-mail: kazuhiro@mech.nagoya-u.ac.jp

Ryo Komiyama

Department of Mechanical and System Engineering,
Nagoya University,
Chikusa, Furo,
Nagoya 4648603, Aichi-ken, Japan
e-mail: komiyama@eess.mech.nagoya-u.ac.jp

Tatsuya Sakai

Department of Mechanical and System Engineering,
Nagoya University,
Chikusa, Furo,
Nagoya 4648603, Aichi-ken, Japan
e-mail: sakai@eess.mech.nagoya-u.ac.jp

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the Journal of Thermal Science and Engineering Applications. Manuscript received August 17, 2018; final manuscript received November 8, 2018; published online June 6, 2019. Assoc. Editor: Ziad Saghir.

J. Thermal Sci. Eng. Appl 12(1), 011002 (Jun 06, 2019) (6 pages) Paper No: TSEA-18-1406; doi: 10.1115/1.4042152 History: Received August 17, 2018

To improve air pollution, we must reduce soot particulates in vehicle exhaust gas, which are inevitably harmful to the environment as well as to human health. Many countries are setting new regulations of nanoscale particle emission. Then, a ceramic porous filter such as diesel particulate filters (DPFs) has been developed. However, as more particles are trapped within their wall pores, the pressure difference (drop) across the filter increases. Resultantly, this situation could worsen the fuel efficiency, simultaneously with less torque. Usually, the filter regeneration process for particle oxidation inside the filter should be periodically needed. Thus, a filter with lower pressure drop would be preferable. In the current stage, the responses of the pressure drop during both particle filtration and oxidation are not fully understood. This is because these are the small-scale processes, and we cannot observe the internal physical phenomenon experimentally. In this paper, focusing on the exhaust flow with soot particles, the filtration was numerically simulated by a so-called lattice Boltzmann method (LBM). Here, the time-variation of the filter-back pressure was evaluated, which is important for the transport phenomena in the porous filter. For comparison, the pressure drop during the filter regeneration was also simulated to show the different pressure response affected by the soot oxidation zone.

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References

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Figures

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Fig. 1

Soot deposition model, showing soot layer growth

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Fig. 2

Filter substrate and numerical domain

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Fig. 3

Streamline showing flow pattern across the filter

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Fig. 4

Distribution of velocity field at three different cross sections of (a) xy plane, (b) x–z plane, and (c) y–z plane

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Fig. 5

Distribution of velocity field at three different cross sections of (a) x–y plane, (b) x–z plane, and (c) y–z plane

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Fig. 6

Time-variation of (a) deposited soot amount and (b) pressure drop during filtration

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Fig. 7

Three profiles of soot region with velocity vectors in x–y plane at t = 0 s (upper), 10 s (middle), 20 s (lower)

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Fig. 8

Time-variation of (a) deposited soot amount and (b) pressure drop during filter regeneration

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Fig. 9

Correlation between soot amount and pressure drop during the filtration and the regeneration

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