IMPROVING THE PREDICTION OF IRRIGATED PRESSURE
DROP IN PACKED
Simon Piché, Faïçal Larachi,*Bernard P.A. Grandjean
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