Validation of CFD-DEM simulation of a liquid–solid fluidized bed by dynamic analysis of time series (Open Access)--颗粒学报PARTICUOLOGY

Picabea, J., Maestri, M., Cassanello, M., Salierno, G., De Blasio, C., Cardona, M. A., . . . Somacal, H. (2022). Validation of CFD-DEM simulation of a liquid–solid fluidized bed by dynamic analysis of time series. Particuology, 68, 75-87. https://doi.org/10.1016/j.partic.2021.11.003

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

Julia Picabea ^{a b}, Mauricio Maestri ^{a b}, Miryan Cassanello ^{a b}, Gabriel Salierno ^{a c e *}, Cataldo De Blasio ^c, María Angélica Cardona ^{d e f}, Daniel Hojman ^{d e}, Héctor Somacal^d^f

a Departamento de Industrias, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Intendente Güiraldes 2160, C1428EGA, Buenos Aires, Argentina
b CONICET-Universidad de Buenos Aires, Instituto de Tecnología de Alimentos y Procesos Químicos –ITAPROQ, Ciudad Universitaria, Intendente Güiraldes 2160 C1428EGA, Buenos Aires, Argentina
c Faculty of Science and Engineering, Åbo Akademi University, Rantakatu 2, 65100 Vaasa, Finland
d Laboratorio de Diagnósticos por Radiaciones, Dep. Física Experimental, Comisión Nacional de Energía Atómica, BKNA1650 San Martín, Buenos Aires, Argentina
e CONICET, C1033AAJ Buenos Aires, Argentina
f Escuela de Ciencia y Tecnología, Universidad de San Martín, BKNA1650 San Martín, Buenos Aires, Argentina

10.1016/j.partic.2021.11.003

Volume 68, September 2022, Pages 75-87

Received 10 June 2021, Revised 27 October 2021, Accepted 12 November 2021, Available online 23 November 2021, Version of Record 30 November 2021.

E-mail: gabriel.salierno@gmail.com; gls@indust.di.fcen.uba.ar

Highlights

• Diks' test indicates dynamic similitude of experimental and CFD-DEM simulated data.

• Observed flow regime transition is also identified solely from the simulations.

• Simulation predicts solid dispersion coefficients accurately.

• Solid mixing times, obtained from information entropy, differ less than 25%.

Abstract

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.

Graphical abstract

Keywords

Liquid–solid fluidization; CFD-DEM; Dynamic comparison; Radioactive particle tracking

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