Hydrodynamics and mass
transfer in trickle-bed reactors:
an overview
Ion Iliuta*, Arturo Ortiz-Arroyo, Faïçal Larachi (corresponding
author), Bernard P.A. Grandjean
Department
of Chemical Engineering & CERPIC, Laval University, Québec, Canada G1K 7P4
*on
leave from Department of Chemical Engineering, Faculty of Industrial Chemistry,
University
Politehnica of Bucharest, Polizu 1, 78126 Bucharest, Romania
Gabriel
Wild
Laboratoire
des Sciences du Génie Chimique, CNRS-ENSIC
1 Rue
Grandville, BP 451, 54001 Nancy, France
Chem.
Eng. Sci., 54, 5329-5337 (1999)
Errata:
In Equations 16-19-22 of Table 2, ReL and/or ReG
should have read as ReL' , ReG'
Abstract:
The fluid dynamic and the gas-liquid mass transfer characteristics of
trickle-bed reactors were revisited and their quantification methods
reevaluated based on extensive experimental historic flow data bases (22,000
experiments) set up from the open literature published over the last forty
years. The state-of-the-art of trickle bed fluid dynamics was summarized
and a set of unified and updated estimation methods relying on
neural-network-dimensional analysis-phenomenological hybrid approaches were
discussed.
You
can get the code.zip file to compute (Fortran) with neural models given in Table
2 of the paper
You may also download our Excel worksheet Trickle-bed simulator to simulate mass transfer, pressure
drop, liquid holdup and flow regime transition.
The neural correlations
were developped with the software NNFit