Simulation of Soot Emissions in a Diesel

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL
V. A. Likhanov, A. N. Kozlov
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Abstract

The article provides a brief description of the key provisions of a mathematical model developed to determine the smoke content of diesel exhaust gases. During the operation of a diesel engine, some of the evaporated fuel condenses into a solid phase, forming dispersed solid soot particles. Depending on the engine operating mode, part of the particle mass is gasified, and part is released into the atmosphere with the exhaust gases. Soot emissions are largely responsible for the harmful effects of diesel on the environment. An analytical description of the soot emission process in a diesel engine is a difficult scientific task, since it is associated with a large number of physical and chemical fast-moving cyclic processes in the combustion chamber. The article proposes a method for determining the function of the average mass diameter of soot particles and the mass concentration of dispersed carbon in exhaust gases, taking into account the specifics of the thermodynamic and chemical processes taking place in the engine cylinder. The results of numerical modeling of the evolution of a soot particle in the engine cylinder are presented, which have practical significance for studying the chemical and physical processes at various stages of fuel combustion in order to reduce smoke emissions from diesel engines.

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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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