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Numerical simulation of dense particle-gas two-phase flow using the minimal potential energy principle
作者姓名:Xiangjun  Liu  Xuchang  Xu  Wurong  Zhang
作者单位:[1]Mechanical Engineering School, University of Science and Technology Beijing, Beijing 100083, China [2]The State Key Laboratory for Clean Combustion of Coal, Tsinghua University, Beijing 100084, China
摘    要:A simulation method of dense particle-gas two-phase flow has been developed. The binding force is introduced to present the impact of particle clustering and its expression is deduced according to the principle of minimal potential energy. The cluster collision, break-up and coalescence models are proposed based on the assumption that the particle cluster are treated as one discrete phase. These models are used to numerically study the two-phase flow field in a circulating fluidized bed (CFB). Detailed results of the cluster structure, cluster size, particle volume fraction, gas velocity, and particle velocity are obtained. The correlation between the simulation results and experimental data justifies that these models and algorithm are reasonable, and can be used to efficiently study the dense particle-gas two-phase flow.

关 键 词:流动模拟  数值模拟  分组模型  循环流化床  锅炉
收稿时间:2006-02-01

Numerical simulation of dense particle-gas two-phase flow using the minimal potential energy principle
Xiangjun Liu Xuchang Xu Wurong Zhang.Numerical simulation of dense particle-gas two-phase flow using the minimal potential energy principle[J].Journal of University of Science and Technology Beijing,2006,13(4):301-307.
Authors:Xiangjun Liu  Xuchang Xu  Wurong Zhang
Affiliation:1. Mechanical Engineering School, University of Science and Technology Beijing, Beijing 100083, China
2. The State Key Laboratory for Clean Combustion of Coal, Tsinghua University, Beijing 100084, China
Abstract:A simulation method of dense particle-gas two-phase flow has been developed. The binding force is introduced to present the impact of particle clustering and its expression is deduced according to the principle of minimal potential energy. The cluster collision,break-up and coalescence models are proposed based on the assumption that the particle cluster are treated as one discrete phase. These models are used to numerically study the two-phase flow field in a circulating fluidized bed (CFB). Detailed results of the cluster structure, cluster size, particle volume fraction, gas velocity, and particle velocity are obtained. The correlation between the simulation results and experimental data justifies that these models and algorithm are reasonable, and can be used to efficiently study the dense particle-gas two-phase flow.
Keywords:dense particle-gas two-phase flow  clusters modeling  circulating fluidized bed (CFB)  principle of minimal potential energy
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