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This article is cited in 2 scientific papers (total in 2 papers)
Heat and Mass Transfer and Physical Gasdynamics
Optimizing the injection of two-phase gasification products of power condensed compositions into a model combustion chamber with small extention
K. J. Arefyevabc, M. A. Abramovabc, A. V. Voronetskiia, E. E. Sondc a Bauman Moscow State Technical University
b Central Institute of Aviation Motors, State Scientific Center of Russian Federation, Moscow
c Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
d Joint Institute for High Temperatures, Russian Academy of Sciences, Moscow
Abstract:
This paper deals with the optimization criteria, mathematical model, and calculation results for the mixing of flows in a model combustion chamber with different configurations for the system of injecting the gasification products of power condensed composition. Gasification products represent a mixture of gas and condensed phases. The earlier developed data processing algorithm is improved by introducing a probabilistic approach into the trajectory estimation of the distribution of disperse phase particles in the cross sections of a model combustion chamber of small length. As a result of the performed parametric studies, some recommendations are proposed to improve the quality of mixing the gasification products with the air flow in a model combustion chamber and minimize the effect of condensed phase particles on the walls of the flow duct of a combustion chamber. The results of these studies can be used for the development of recommendations on how to provide the performability and improve the efficiency of the working process in promising power plants.
Received: 06.07.2020 Revised: 10.02.2021 Accepted: 14.02.2021
Citation:
K. J. Arefyev, M. A. Abramov, A. V. Voronetskii, E. E. Son, “Optimizing the injection of two-phase gasification products of power condensed compositions into a model combustion chamber with small extention”, TVT, 60:1 (2022), 94–102; High Temperature, 60:1 (2022), 85–93
Linking options:
https://www.mathnet.ru/eng/tvt11456 https://www.mathnet.ru/eng/tvt/v60/i1/p94
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Abstract page: | 119 | Full-text PDF : | 51 | References: | 25 |
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