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Energies 2011, 4(6), 894-912; doi:10.3390/en4060894
Article

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

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Received: 11 April 2011 / Revised: 5 May 2011 / Accepted: 6 May 2011 / Published: 3 June 2011
(This article belongs to the Special Issue Advancement in Combustion Sciences and Technology)
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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.
Keywords: turbulent diffusion combustion; high-pressure common rail diesel engine; temperature phase model; optimization calculation turbulent diffusion combustion; high-pressure common rail diesel engine; temperature phase model; optimization calculation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Liu, Y.; Yang, J.; Sun, J.; Zhu, A.; Zhou, Q. A Phenomenological Model for Prediction Auto-Ignition and Soot Formation of Turbulent Diffusion Combustion in a High Pressure Common Rail Diesel Engine. Energies 2011, 4, 894-912.

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