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Lattice Boltzmann simulation on continuously regenerating diesel filter.

Kazuhiro Yamamoto1, Kazuki Yamauchi, Naoki Takada

  • 1Department of Mechanical Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8603, Japan. kazuhiro.mech.nagoya-u.ac.jp

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 18, 2011
PubMed
Summary

A lattice Boltzmann simulation was used to study diesel particulate filters (DPFs). This research helps optimize DPF performance by modeling soot deposition and oxidation processes in exhaust gas.

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Area of Science:

  • Engineering
  • Environmental Science
  • Computational Fluid Dynamics

Background:

  • Diesel engines produce particulate matter (PM), including harmful soot.
  • Diesel Particulate Filters (DPFs) are crucial for reducing PM emissions.
  • Experimental observation of internal DPF processes is challenging.

Purpose of the Study:

  • To simulate and analyze soot deposition and oxidation within a metallic DPF.
  • To develop a validated numerical model for DPF performance.
  • To determine key parameters for DPF regeneration processes.

Main Methods:

  • Utilized lattice Boltzmann simulation for fluid flow analysis.
  • Employed X-ray computed tomography (CT) to capture the filter's internal structure.
  • Integrated soot deposition and oxidation models into the simulation.

Main Results:

  • Successfully simulated particulate matter flow and deposition within a metallic filter.
  • Validated simulation parameters against experimental data.
  • Quantified soot deposition probability for improved DPF modeling.

Conclusions:

  • Lattice Boltzmann simulation is an effective tool for studying DPFs.
  • The validated model provides insights into soot management in diesel exhaust.
  • This research contributes to the development of more efficient DPF systems.