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Indian Journal of Chemical Technology (IJCT) >
IJCT Vol.12 [2005] >
IJCT Vol.12(3) [May 2005] >
| Title: | Modeling of three phase inverse fluidized bed using artificial neural network |
| Authors: | Dolas, Anant
Pandharipande, S L
Chandak, B S |
| Keywords: | Inverse fluidization
Artificial Neural Network |
| Issue Date: | May-2005 |
| Publisher: | CSIR |
| IPC Code: | B01D3/26 |
| Abstract: | Fluidization of a
three-phase system can be achieved either with co-current up flow of gas and
liquid or down flow of liquid and up flow of gas. Three Phase Inverse Fluidised
Bed (TPIFB) falls in the second category. Because of high gas hold up and
residence time, this type of fluidized bed has more mass transfer coefficient.
In present work, experiments were conducted using polyethylene hollow spheres
coated with benzoic acid and using water as solvent with air as the fluidizing
medium. The data thus generated was used for developing models using Artificial
Neural Networks (ANN). It has been observed that the ANN model developed has
excellent accuracy level of more than 90%. |
| Page(s): | 327-331 |
| ISSN: | 0975-0991 (Online); 0971-457X (Print) |
| Source: | IJCT Vol.12(3) [May 2005]
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