IMPROVING THE PREDICTION OF IRRIGATED PRESSURE
DROP
IN PACKED
Simon Piché, Faïçal Larachi,*Bernard P.A. Grandjean
Department
of
Can. J. Chem. Eng., 79, 584-594 (2001)
Abstract: Various tools estimating irrigated pressure
drop in gas-liquid counter-current randomly dumped packed beds are carefully
examined through the perception of a comprehensive database. The reported
measurements consisting of ca. 5,000 experiments represent an important portion
of the non-proprietary information released in the literature. Artificial
neural network (ANN) modeling is proposed to refine the accuracy and broadness
in predicting the irrigated pressure drop across the bed. The ANN
correlation yields an absolute average relative error (AARE) of
20.0% and a standard deviation on the AARE of 19.8% for the whole database and
remains in accordance with the physical evidence reported in the literature.
Keywords:
randomly packed bed, counter-current flow, irrigated pressure drop, neural
network, database
You can get the packedbedsimulator.zip
file that contains an Excel worksheet simulator to compute pressure drop,
liquid holdup along with loading and flooding capacities.
You may also download our Excel worksheets simulators for Trickle-bed or Flooded
Bed reactors.
The neural
correlation was developped with the software NNFit