Numerical simulation of dense particle-gas two-phase flow using the minimal potential energy principle

作     者：Xiangjun Liu Xuchang Xu Wurong Zhang 

作者机构：Mechanical Engineering School University of Science and Technology Beijing Beijing 100083 China The State Key Laboratory for Clean Combustion of Coal Tsinghua University Beijing 100084 China 

出 版 物：《Journal of University of Science and Technology Beijing》 (北京科技大学学报（英文版）)

年 卷 期：2006年第13卷第4期

页      面：301-307页

核心收录：

学科分类：080703[工学-动力机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：This work was financially supported by the National Natural Science Foundation of China (No.50406025) 

主　　题：dense particle-gas two-phase flow clusters modeling circulating fluidized bed (CFB) principle of minimal potential energy 

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.