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Morel and Keribar [40] and Wahiduzzaman et al. [41] suggested models for soot formation and their oxidation in diesel engines.
This could be attributed to the large distribution in the measurements or the chemical/physical models for soot formation.
Experimental results suggest that the agreement among the three individual temperatures obtained from three-color pyrometry depends on which of the above models for soot radiation is used.
New bivariate models for soot particle structure are introduced to qualitatively replicate observed particle shapes and are found to offer quantitative improvements over older single-variable models.
The pyrometric results were interpreted in view of two models for soot radiation: (a) A conventional model, which assumes that the flame is optically thin and isothermal and thus, the spectral emissivity is inversely proportional to the wavelength.
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The present study reports an updated detailed chemical kinetic model for soot formation.
In this work, a new statistical model for soot formation and growth is developed and presented.
Significant improvements in the prediction of soot volume fraction are obtained using the PAH inception model for soot inception compared to the conventional acetylene approach.
A sectional approach for the description of Polycyclic Aromatic Hydrocarbons (PAHs) and a two-equation model for soot particle dynamics are introduced.
A recently developed subgrid model for soot dynamics [H. El-Asrag, T. Lu, C.K. Law, S. Menon, Combust. Flame 150 (2007) 108 126] is used to study the soot formation in a non-premixed turbulent flame.
A subgrid model for soot dynamics is developed for large-eddy simulation (LES) that uses a method of moments approach with Lagrangian interpolative closure (MOMIC) so that no a priori knowledge of the particles' distribution is required.
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