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Continuous fluidized bed drying: Residence time distribution characterization and effluent moisture content prediction
Author(s) -
Chen Hao,
Diep Emily,
Langrish Timothy A. G.,
Glasser Benjamin J.
Publication year - 2020
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.16902
Subject(s) - residence time distribution , fluidized bed , effluent , residence time (fluid dynamics) , moisture , water content , micromixing , chemistry , mixing (physics) , materials science , pulp and paper industry , environmental science , chromatography , environmental engineering , analytical chemistry (journal) , composite material , mineralogy , engineering , inclusion (mineral) , geotechnical engineering , organic chemistry , physics , quantum mechanics
Abstract The mixing and drying behavior in a continuous fluidized bed dryer were investigated experimentally by characterizing the residence time distribution (RTD) and incorporating a micromixing model together with the drying kinetics obtained from batch drying. The RTD of the dryer was modeled using a tank‐in‐series model. It was found that a high initial material loading and a low material flow rate resulted in a reduced peak height and broaded peak width of the RTD curve. To predict the continuous dryer effluent moisture content, we combined: (a) the drying kinetics as determined in a batch fluidized bed dryer, (b) the RTD model, and (c) micromixing models—segregation and maximum mixedness models. It was found that the segregation model overpredicted the effluent moisture content by up to 5% for the cases we have studied while the maximum mixedness model gave a good prediction of the effluent moisture content.