A phenomenological model was developed to describe the effect of pressure,
gas and liquid flow rates on pellet-scale external wetting efficiency in tr
ickle flow reactors. External wetting efficiency was linked to both pressur
e drop and liquid holdup. Shear slip factor, Ergun creeping flow constant,
liquid holdup and two-phase pressure drop required by the model were calcul
ated using a set of hybrid neural network dimensionless correlations based
on an extensive trickle flow regime database.