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An investigation of the effect of particle size on discharge behavior of pulverized coal  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:An investigation of the effect of particle size on discharge behavior of pulverized coal

作者:Liu, Yi[1];Lu, Haifeng[1];Guo, Xiaolei[1];Gong, Xin[1];Sun, Xiaolin[1];Zhao, Wei[1]

机构:[1]E China Univ Sci & Technol, Key Lab Coal Gasificat & Energy Chem Engn, Shanghai Engn Res Ctr Coal Gasificat, Minist Educ,Inst Clean Coal Technol, Shanghai 200237, Peoples R China

年份:2015

卷号:284

起止页码:47

外文期刊名:POWDER TECHNOLOGY

收录:;EI(收录号:20163502741519);WOS:【SCI-EXPANDED(收录号:WOS:000361582300007)】;

基金:This work was supported by the National Natural Science Foundation of China (21006027, 21206041), the Fundamental Research Funds for the Central Universities (WB1214012) and China Postdoctoral Science Foundation funded project (2012M520847).

语种:英文

外文关键词:Pulverized coal; Particle size; Flow property; Stress state analysis; Hopper discharge

摘要:In this paper, pulverized coal from industry was used as the experimental material. In order to study the effect of particle size, the pulverized coal was sieved into seven samples with different particle sizes. Firstly, the material properties as packing, incipient flow and wall friction properties were evaluated. Meanwhile, a transparent Perspex hopper was used to monitor the change of discharge behavior of pulverized coal caused by the increase of particle size. From the visual observation of discharge test, a progressive transition from blocking to unstable flow and to mass flow was found as the particle size increased. Hence, a complete set of physically based equations for compressibility, flowability and powder consolidation has been derived. Then, a new method, taking into account the stress state in the hopper, is introduced to assess the discharge behaviors of pulverized coal. The validity of this new method has been confirmed by comparing theoretical and experimental discharge behavior for pulverized coals. The theoretical approach based on stress state analysis, is able to provide results which correlate well with the experiments. (C) 2015 Elsevier B.V. All rights reserved.

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