Multi-fluid Eulerian simulation of mixing of binary particles in a gas-solid fluidized bed with a cohesive particle-particle drag model

查看全文 作　　者：Liping [1]Wei;Guodong [1]Jiang;Haipeng [1]Teng;Jun [1]Hu;Jianbo [1]Zhu

机构地区：[1]School of Chemical Engineering,Northwest University,Chemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei Energy,and Shaanxi Research Center of Engineering Technology for Clean Coal Conversion,Xi'an 710069,Shaanxi,China

出　　处：《Particuology》索引2020年第18卷第2期,共10页

基　　金：This work is currently supported by the National Natural Science Foundation of China through contract No.51606153,91634109 and 2167060316;Natural Science Basic Research Plan in Shaanxi Province of China(No.2016JQ5101 and 2017JQ2018);Scien-tific Research Program Funded by Shaanxi Provincial Education Department(No.14JK1729). 摘　　要：A particle-particle(p-p)drag model is extended to cohesive particle flow by introducing solid surface energy to characterize cohesive collision energy loss.The effects of the proportion of cohesive particles on the mixing of binary particles were numerically investigated with the use of a Eulerian multiphase flow model incorporating the p-p drag model.The bed expansion,mixing,and segregation of Geldart-A and C particles were simulated with varying superficial velocities and Geldart-C particle proportions,from which we found that the p-p drag model can reasonably predict bed expansion of binary particles.Two segregation types of jetsam-mixture-flotsam and mixture-flotsam processes were observed during the fluidization processes for the Geldart-A and C binary particle system.The mixing processes of the binary particle system can be divided into three scales:macro-scale mixing,meso-scale mixing,and micro-scale mixing.At a constant superficial velocity the optimal mixing was observed for a certain cohesive particle proportion. 关键词：FLUIDIZATION Cohesive particle Particle-particle drag model Mixing index Binary particles

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Multi-fluid Eulerian simulation of mixing of binary particles in a gas-solid fluidized bed with a cohesive particle-particle drag model

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