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Numerical study of short-circuiting flow and particles in a gas cyclone

Particuology 2023年第1期72卷 81-93页

作者： Sijie Dong Chenwen Wang Zihui Zhang Qinyu Cai Kejun Dong Teng Cheng Bo Wang Key Laboratory of Western China’s Environmental Systems of Ministry of Education Engineering Research Center of Fine Particle Pollution Control Technology and Equipment of Gansu ProvinceCollege of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China Key Laboratory of Resource Environment and Sustainable Development of Oasis of Gansu Province College of Geography and Environmental ScienceNorthwest Normal UniversityLanzhou 730000China Center for Infrastructure Engineering Western Sydney UniversityPenrithNSW 2751Australia

Short-circuiting flow is an important secondary flow in gas cyclones, which has a negative impact on the separation performance. To improve the understanding of the short-circuiting flow and guide the optimization of gas cyclones, this paper presents a numerical study of a cyclone using computational fluid dynamics. Based on the steady flow field, three methods were adopted to investigate the formation mechanism and characteristics of the short-circuiting flow and particles. The temporal variation of the tracer species concentration distribution reveals that the formation mechanism of the short-circuiting flow is the squeeze between the airflows entering the annular space of the gas cyclone at different times. The short-circuiting flow region, distinguished through the spatial distribution of the moments of age, is characterized by a small mean age and a large coefficient of variation. The proportion of the short-circuiting particles increases with the increase of the inlet velocity only for small particles. But with the increase of particle size, the proportion of the short-circuiting particles decreases faster at higher inlet velocities, resulting in significant differences in collection efficiency curves.

关键词： Gas cyclone Short-circuiting flow Computational fluid dynamics Species transport moment of age Particle tracking

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