Transactions of Nanjing University of Aeronautics & Astronautics
Application of WSGSA Model in Predicting Temperature and Soot in C2H4/Air Turbulent Diffusion Flame
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Abstract:
Soot， a product of insufficient combustion， is usually in the form of aggregate. The multi-scattering of soot fractal aggregates has been proved to play an important role in studying the soot radiative properties， which is rarely considered in predicting the radiative heat transfer in combustion flame. In the present study， based on the weighted sum of gray soot fractal aggregate （WSGSA） model，which is used to predict the temperature field and soot aggregates in turbulent diffusion flame， the flame temperature distribution and soot volume fraction distribution under the conditions of the model without considering radiation， the default radiation model in Fluent software and the WSGSA model are calculated respectively. The results show that the flame temperature will be seriously overestimated without considering radiation and the maximum relative discrepancy of flame centerline temperature is about 64.5%. The accuracy will be improved by the default radiation model in the Fluent software， but the flame temperature is still overestimated and the maximum relative discrepancy of flame centerline temperature is about 42.1%. However， more satisfactory results can be obtained by the WSGSA model， and the maximum relative discrepancy of flame centerline temperature is no more than 15.3%. Similar conclusions can also be obtained in studying the temperature distribution along different flame heights. Moreover， the soot volume fraction can be predicted more accurately with the application of the WSGSA model. Both without considering radiation and using the default radiation model in the Fluent software will result in the underestimating of soot volume fraction. All the results reveal that the WSGSA model can be used to predict the temperature and soot aggregates in the C2H4/air turbulent diffusion flame.
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This work was supported by the National Natural Science Foundation of China （No. 51806103）， the Aeronautical Science Foundation of China （No.201928052002）， and the Fundamental Research Funds for the Central Universities （No.NT2021007）.
Clc Number:
TK123
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