Application of neural networks to mass-transfer predictions in a fast fluidized bed of fine solids

AIChE Journal ◽  
1997 ◽  
Vol 43 (7) ◽  
pp. 1684-1690 ◽  
Author(s):  
Piroz Zamankhan ◽  
Pekka Malinen ◽  
Hannu Lepomäki
Keyword(s):  
Neural Networks ◽  
Mass Transfer ◽  
Fluidized Bed

INVESTIGATION ON HYDRODYNAMICS OF FLUIDIZED BED AS A COMPONENT DETERMINING HEAT AND MASS TRANSFER

1974 ◽  
Author(s):  
N. B. Kondukov ◽  
L.I. Frenkel ◽  
M. B. Kliot ◽  
B. V. Pankov ◽  
V. S. Potapochkin ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Heat And Mass Transfer ◽  
Fluidized Bed

Fluidized-Bed Methanation: Interaction between Kinetics and Mass Transfer

2011 ◽  
Vol 50 (5) ◽  
pp. 2781-2790 ◽  
Author(s):  
Jan Kopyscinski ◽  
Tilman J. Schildhauer ◽  
Serge M. A. Biollaz
Keyword(s):  
Mass Transfer ◽  
Fluidized Bed

scholarly journals Diffusion models and scale-up

2005 ◽  
Vol 9 (1) ◽  
pp. 43-72 ◽  
Author(s):  
Christo Boyadjiev
Keyword(s):  
Mass Transfer ◽  
Parameter Identification ◽  
Fluidized Bed ◽  
Scale Up ◽  
Catalytic Reactions ◽  
Fluidized Bed Reactors ◽  
Hierarchical Approach ◽  
Model Parameter ◽  
Transfer Processes ◽  
Three Phase

A model for transfer processes in column apparatuses has been done. The model may be modified for different apparatuses as columns with (or without) packet bed, two (or three) phase airlift reactors and fluidized bed reactors. The mass transfer is result of different volume reactions as a chemical, photochemical, biochemical or catalytic, reactions, or interphase. mass transfer. The using of the average velocities and concentration permit to solve the scale-up problems. A hierarchical approach for model parameter identification has been proposed.

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