This study examines different soot sub-models to simulate the soot nano-aerosol formation in turbulent kerosene-surrogate flames. The examinations are carried out at three different elevated pressures. We use a two-equation soot model considering the aerosol dynamics and chemistry of soot nano-particles, i.e. nucleation, coagulation, surface growth, and oxidation. Four different soot sub-models are used to predict the structures of pressurized flames. These structures are then compared with each other as well as the data collected by experiment Our findings indicate that the acetylene soot-inception sub-model performs poorly in prediction of the flames' structures at different elevated pressures. Alternatively, the PAH-inception soot sub-model shows much better flame structure predictions at those elevated pressures. Our findings also indicate that the soot oxidation sub-model of Neon can suitably predict the temperature and soot concentration of flames at moderately high pressure levels. Additionally, the oxidation soot sub-model of Lee can be considered to be a good choice to predict the kerosene/air flame's structure, if it is burned at high pressure levels.
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