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Heat transfer modelling in honeycomb wall-flow diesel particulate filters

Author

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  • Galindo, José
  • Serrano, José Ramón
  • Piqueras, Pedro
  • García-Afonso, Óscar

Abstract

Heat transfer in wall-flow monoliths has gained in interest because of the widespread adoption of these systems by automotive industry to fulfil soot emission regulations and the importance of heat exchange on the regeneration process control to avoid damaging the monolith. This paper presents a heat transfer model for wall-flow diesel particulate filters coupled with an unsteady compressible flow solver. The heat exchange between the gas and the solid phase is based on a bi-dimensional discretisation of the porous medium both in axial and tangential directions. The monolith can be discretised in the radial direction to account for the heat fluxes towards the environment through the monolith and the canister, which is also coupled with the inlet and outlet ducts of the filter. The model is validated against experimental data obtained in a flow test rig. A test campaign under non-reacting conditions has been conducted to show the capability for thermal response prediction. Tests cover clean and soot loaded monolith, continuous flow under steady and transient thermal conditions, and pulsating flow. In this case, the characteristics of the pressure waves in amplitude and frequency are similar to those that the monolith can undergo depending on its location along the exhaust line.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:43:y:2012:i:1:p:201-213
    DOI: 10.1016/j.energy.2012.04.044
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    References listed on IDEAS

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    Cited by:

    1. Jiaqiang, E & Zhao, Xiaohuan & Xie, Longfu & Zhang, Bin & Chen, Jingwei & Zuo, Qingsong & Han, Dandan & Hu, Wenyu & Zhang, Zhiqing, 2019. "Performance enhancement of microwave assisted regeneration in a wall-flow diesel particulate filter based on field synergy theory," Energy, Elsevier, vol. 169(C), pages 719-729.
    2. Serrano, J.R. & Climent, H. & Piqueras, P. & Angiolini, E., 2014. "Analysis of fluid-dynamic guidelines in diesel particulate filter sizing for fuel consumption reduction in post-turbo and pre-turbo placement," Applied Energy, Elsevier, vol. 132(C), pages 507-523.
    3. Luján, José Manuel & Serrano, José Ramón & Piqueras, Pedro & García-Afonso, Óscar, 2015. "Experimental assessment of a pre-turbo aftertreatment configuration in a single stage turbocharged diesel engine. Part 2: Transient operation," Energy, Elsevier, vol. 80(C), pages 614-627.
    4. 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).
    5. Qiu, Tao & Li, Xuchu & Liang, Hong & Liu, Xinghua & Lei, Yan, 2014. "A method for estimating the temperature downstream of the SCR (selective catalytic reduction) catalyst in diesel engines," Energy, Elsevier, vol. 68(C), pages 311-317.
    6. 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.
    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. Ye, Jiahao & Yang, Wenming & Peng, Qingguo & Liu, Haili, 2024. "Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network," Energy, Elsevier, vol. 294(C).
    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. Bermúdez, Vicente & Luján, José Manuel & Piqueras, Pedro & Campos, Daniel, 2014. "Pollutants emission and particle behavior in a pre-turbo aftertreatment light-duty diesel engine," Energy, Elsevier, vol. 66(C), pages 509-522.
    11. 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).
    12. 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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