Reconciliation
Procedure for Gas-liquid Interfacial Area
&
Mass Transfer Coefficient in Randomly Packed Towers
Simon
Piché, Bernard P.A. Grandjean and Faïçal Larachi
Department
of Chemical Engineering and CERPIC
Université
Laval, Ste-Foy, Québec, Canada, G1K 7P4
Corresponding
author: flarachi@gch.ulaval.ca
Ind. & Eng. Chem. Res. 41, 4911- 4920 (2002)
Abstract: Interfacial areas (aw) and volumetric mass transfer coefficients (kLaw, KLaw, kGaw,
KGaw) required for randomly packed tower design were
gathered from the literature to generate a working database including over
3,780 measurements. A set of artificial neural network correlations for the
gas-liquid interfacial area and the pure local mass transfer coefficients was
proposed. Thus, the gas-liquid interfacial area and the pure local mass
transfer coefficients were extracted using a reconciliation procedure which
combined actually measured interfacial areas with pseudo interfacial areas
inferred from the actually measured volumetric mass transfer coefficients. The
neural network weights of the two aw and k? correlations
were adjusted using a least-squared composite criterion simultaneously over the
five mass transfer parameters. The first correlation representing the
gas-liquid interfacial area [aw/aT = f (ReL, FrL, EoL,
Lockhart Martinelli, K)] yielded an average absolute
relative error (
Keywords: packed bed,
counter-current flow, mass transfer, interfacial area, neural network, database
You can get the packedbedsimulator.zip
file that contains an Excel worksheet simulator to compute pressure drop,
liquid holdup, loading/flooding capacities, film and overall volumetric mass
transfer coefficients.
You may also download our Excel worksheets simulators for Trickle-bed or Flooded
Bed reactors.
The neural
correlation was developped with the software NNFit