Validation of CFD-DEM simulation of a liquid–solid fluidized bed by dynamic analysis of time series

被引:0
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作者
Picabea, Julia [1 ,2 ]
Maestri, Mauricio [1 ,2 ]
Cassanello, Miryan [1 ,2 ]
Salierno, Gabriel [1 ,3 ,5 ]
De Blasio, Cataldo [3 ]
Cardona, María Angélica [4 ,5 ,6 ]
Hojman, Daniel [4 ,5 ]
Somacal, Héctor [4 ,6 ]
机构
[1] Departamento de Industrias, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Intendente Güiraldes 2160, Buenos Aires,C1428EGA, Argentina
[2] CONICET-Universidad de Buenos Aires, Instituto de Tecnología de Alimentos y Procesos Químicos –ITAPROQ, Ciudad Universitaria, Intendente Güiraldes 2160, Buenos Aires,C1428EGA, Argentina
[3] Faculty of Science and Engineering, Åbo Akademi University, Rantakatu 2, Vaasa,65100, Finland
[4] Laboratorio de Diagnósticos por Radiaciones, Dep. Física Experimental, Comisión Nacional de Energía Atómica, BKNA1650 San Martín, Buenos Aires, Argentina
[5] CONICET, Buenos Aires,C1033AAJ, Argentina
[6] Escuela de Ciencia y Tecnología, Universidad de San Martín, BKNA1650 San Martín, Buenos Aires, Argentina
来源
Particuology | 2022年 / 68卷
关键词
CFD-DEM - DEM Simulation - Design rules - Dynamic comparison - Dynamics analysis - Liquid-solid fluidization - Liquid-solid fluidized beds - Model validation - Radioactive particle tracking - Times series;
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学科分类号
摘要
Liquid–solid fluidized beds (LSFB) modeling validation is crucial for establishing design rules and monitoring tools. However, it generally relies on comparing global variables, which overlook dynamic features that influence reaction outputs. This work aims to implement time series analysis tools to compare Radioactive Particle Tracking data with a simulation consisting of Computational Fluid Dynamics coupled with Discrete-Element Method. Experiments have been performed in a pilot-scale LSFB of calcium alginate spheres fluidized with a calcium chloride solution. The Diks’ test indicates that the simulation can capture the LSFB behavior. It also allows diagnosing flow regime transitions from the simulation. Trends of solid dispersion coefficients and mixing times predicted by the simulation are in good agreement with the experiments. © 2021 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences
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页码:75 / 87
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