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A Phenomenological Model for Prediction Auto-Ignition and Soot Formation of Turbulent Diffusion Combustion in a High Pressure Common Rail Diesel Engine

Author

Listed:
  • Yongfeng Liu

    (School of Mechanical and Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Jianwei Yang

    (School of Mechanical and Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Jianmin Sun

    (School of Mechanical and Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Aihua Zhu

    (School of Mechanical and Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Qinghui Zhou

    (School of Mechanical and Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

Abstract

A new phenomenological model, the TP (Temperature Phase) model, is presented to carry out optimization calculations for turbulent diffusion combustion in a high-pressure common rail diesel engine. Temperature is the most important parameter in the TP model, which includes two parts: an auto-ignition and a soot model. In the auto-ignition phase, different reaction mechanisms are built for different zones. For the soot model, different methods are used for different temperatures. The TP model is then implemented in KIVA code instead of original model to carry out optimization. The results of cylinder pressures, the corresponding heat release rates, and soot with variation of injection time, variation of rail pressure and variation of speed among TP model, KIVA standard model and experimental data are analyzed. The results indicate that the TP model can carry out optimization and CFD (computational fluid dynamics) and can be a useful tool to study turbulent diffusion combustion.

Suggested Citation

  • Yongfeng Liu & Jianwei Yang & Jianmin Sun & Aihua Zhu & Qinghui Zhou, 2011. "A Phenomenological Model for Prediction Auto-Ignition and Soot Formation of Turbulent Diffusion Combustion in a High Pressure Common Rail Diesel Engine," Energies, MDPI, vol. 4(6), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:6:p:894-912:d:12642
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