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Filtration modelling in wall-flow particulate filters of low soot penetration thickness

Author

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  • Serrano, José Ramón
  • Climent, Héctor
  • Piqueras, Pedro
  • Angiolini, Emanuele

Abstract

A filtration model for wall-flow particulate filters based on the theory of packed beds of spherical particles is presented to diagnose the combined response of filtration efficiency and pressure drop from a reliable computation of the flow field and the porous media properties. The model takes as main assumption the experimentally well-known low soot penetration thickness inside the porous wall. The analysis of soot loading processes in different particulate filters shows the ability of the proposed approach to predict the filtration efficiency as a function of the particle size distribution. Nevertheless, pressure drop and overall filtration efficiency are determined by the mode diameter of the raw particulate matter emission. The results reveal the dependence of the filtration efficiency in clean conditions on the sticking coefficient. However, the dynamics of the pressure drop and filtration efficiency as the soot loading varies is governed by the soot penetration thickness. This parameter is closely related to the porous wall Peclet number, which accounts for the porous wall and flow properties influence on the deposition process. The effect of the transition from deep bed to cake filtration regime on the pressure drop is also discussed underlying the importance of the macroscale over microscale phenomena.

Suggested Citation

  • Serrano, José Ramón & Climent, Héctor & Piqueras, Pedro & Angiolini, Emanuele, 2016. "Filtration modelling in wall-flow particulate filters of low soot penetration thickness," Energy, Elsevier, vol. 112(C), pages 883-898.
    • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:883-898
    DOI: 10.1016/j.energy.2016.06.121
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    References listed on IDEAS

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    1. Payri, F. & Broatch, A. & Serrano, J.R. & Piqueras, P., 2011. "Experimental–theoretical methodology for determination of inertial pressure drop distribution and pore structure properties in wall-flow diesel particulate filters (DPFs)," Energy, Elsevier, vol. 36(12), pages 6731-6744.
    2. Torregrosa, A.J. & Serrano, J.R. & Arnau, F.J. & Piqueras, P., 2011. "A fluid dynamic model for unsteady compressible flow in wall-flow diesel particulate filters," Energy, Elsevier, vol. 36(1), pages 671-684.
    3. Serrano, José Ramón & Arnau, Francisco José & Piqueras, Pedro & García-Afonso, Óscar, 2013. "Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions," Energy, Elsevier, vol. 58(C), pages 644-654.
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    Cited by:

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    4. Zhao, Xiaohuan & Zuo, Hongyan & Jia, Guohai, 2022. "Effect analysis on pressure sensitivity performance of diesel particulate filter for heavy-duty truck diesel engine by the nonlinear soot regeneration combustion pressure model," Energy, Elsevier, vol. 257(C).
    5. Torregrosa, Antonio José & Serrano, José Ramón & Piqueras, Pedro & García-Afonso, Óscar, 2017. "Experimental and computational approach to the transient behaviour of wall-flow diesel particulate filters," Energy, Elsevier, vol. 119(C), pages 887-900.
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    7. Jiale Fu & Tiechen Zhang & Menghan Li & Su Li & Xianglin Zhong & Xiaori Liu, 2019. "Study on Flow and Heat Transfer Characteristics of Porous Media in Engine Particulate Filters Based on Lattice Boltzmann Method," Energies, MDPI, vol. 12(17), pages 1-29, August.
    8. Wang, Kai & Dong, Huzi & Wang, Long & Zhao, Wei & Wang, Yanhai & Guo, Haijun & Zang, Jie & Fan, Long & Zhang, Xiaolei, 2023. "Temperature-induced micropore structure alteration of raw coal and its implications for optimizing the degassing temperature in pore characterization," Energy, Elsevier, vol. 268(C).

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