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LDV measurements of particle velocity distribution in an annular stripper

LDV measurements of particle velocity distribution in an annular stripper

作     者:Yongzheng Li Xiaolai Zhang Guangwei Zhai Haitao Zhang Tao Li Qiwen Sun Weiyong Ying 

作者机构:Engineering Research Center of Large Scale Reactor Engineering and TechnologyMinistry of EducationState Key Laboratory of Chemical EngineeringEast China University of Science and TechnologyShanghai 200237China School of Chemistry and Chemical EngineeringShandong UniversityJinan 250100China State Key Laboratory of Coal Liquefaction and Coal Chemical TechnologyShanghai 201203China 

出 版 物:《Chinese Journal of Chemical Engineering》 (中国化学工程学报(英文版))

年 卷 期:2019年第27卷第10期

页      面:2293-2303页

核心收录:

学科分类:081704[工学-应用化学] 08[工学] 0817[工学-化学工程与技术] 081701[工学-化学工程] 

基  金:Supported by the National High-Tech R&D Program of China(2011AA05A204) the Fundamental Research Funds for the Central Universities(222201817013) 

主  题:Annular stripper Flow Hydrodynamics Particle velocity Laser Doppler velocimeter 

摘      要:Particle descent velocities in an annular stripper were measured by a laser Doppler velocimetry(LDV)*** the radial direction,particle descent velocity was relatively constant in the mid-region of the stripper and increased towards the walls on both sides,exhibiting an anti-U-shaped *** descent velocity in the radial mid-region increased with the increase of superficial gas velocity,and the maximum in the outer wall region increased significantly with the increase of solid mass *** stripping gas velocity had stronger effect on particle velocity distributions near the stripper gas distributor,and such effect weakened with the increase of the distance from the *** particle velocity and its radial profiles could be adjusted by changing the superficial stripping gas *** formulas were established to describe the relationships between the local particle velocity and cross-sectional averaged velocity based on the effects of operating conditions and measuring *** result showed that the predicted data was in good agreement with the experimental value.

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