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Experimental–theoretical methodology for determination of inertial pressure drop distribution and pore structure properties in wall-flow diesel particulate filters (DPFs)

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  • Payri, F.
  • Broatch, A.
  • Serrano, J.R.
  • Piqueras, P.

Abstract

Wall-flow particulate filters have been placed as a standard technology for Diesel engines because of the increasing restrictions to soot emissions. The inclusion of this system within the exhaust line requires the development of computational tools to properly simulate its flow dynamics and acoustics behaviour. These aspects become the key to understand the influence on engine performance and driveability as a function of the filter placement. Since the pressure drop and the filtration process are strongly depending on the pore structure properties – permeability, porosity and pore size – a reliable definition of these characteristics is essential for model development. In this work a methodology is proposed to determine such properties based on the combination of the pressure drop rement in a steady flow test rig and two theoretical approaches. The later are a lumped model and a one-dimensional (1D) unsteady compressible flow model. The purpose is to simplify the integration of particulate filters into the global engine modelling and development processes avoiding the need to resort to specific and expensive characterisation tests. The proposed methodology was validated against measurements of the response of an uncoated diesel particulate filter (DPF) under different flow conditions as cold steady flow, impulsive flow and hot pulsating flow.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:12:p:6731-6744
    DOI: 10.1016/j.energy.2011.10.033
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    Cited by:

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    7. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Jia, Guohai, 2023. "Soot combustion characteristics of oxygen concentration and regeneration temperature effect on continuous pulsation regeneration in diesel particulate filter for heavy-duty truck," Energy, Elsevier, vol. 264(C).
    8. Macián, V. & Serrano, J.R. & Piqueras, P. & Sanchis, E.J., 2019. "Internal pore diffusion and adsorption impact on the soot oxidation in wall-flow particulate filters," Energy, Elsevier, vol. 179(C), pages 407-421.
    9. 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.
    10. 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.
    11. Qiu, Tao & Li, Ning & Lei, Yan & Sang, Hailang & Ma, Xuejian & Liu, Zedu, 2024. "Research on the method of diesel particulate filters carbon load recognition based on deep learning," Energy, Elsevier, vol. 292(C).
    12. Bermúdez, Vicente & Serrano, José Ramón & Piqueras, Pedro & Campos, Daniel, 2015. "Analysis of the influence of pre-DPF water injection technique on pollutants emission," Energy, Elsevier, vol. 89(C), pages 778-792.
    13. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Mao, Zhengsong, 2023. "Performance analysis of diesel particulate filter thermoelectric conversion mobile energy storage system under engine conditions of low-speed and light-load," Energy, Elsevier, vol. 282(C).
    14. 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).
    15. Tsuneyoshi, Koji & Yamamoto, Kazuhiro, 2012. "A study on the cell structure and the performances of wall-flow diesel particulate filter," Energy, Elsevier, vol. 48(1), pages 492-499.
    16. Galindo, José & Serrano, José Ramón & Piqueras, Pedro & García-Afonso, Óscar, 2012. "Heat transfer modelling in honeycomb wall-flow diesel particulate filters," Energy, Elsevier, vol. 43(1), pages 201-213.
    17. Orihuela, M. Pilar & Chacartegui, Ricardo & Martínez-Fernández, Julián, 2020. "New biomorphic filters to face upcoming particulate emissions policies: A review of the FIL-BIO-DIESEL project," Energy, Elsevier, vol. 201(C).
    18. 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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