Title of article :
Model To Describe Mass-Transfer Enhancement by Catalyst Particles Adhering to a Gas-Liquid Interface
Author/Authors :
Schouten، Jaap C. نويسنده , , Ruthiya، Keshav C. نويسنده , , Schaaf، John van der نويسنده , , Kuster، Ben F. M. نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
-6122
From page :
6123
To page :
0
Abstract :
A model is presented to describe mass-transfer enhancement in slurry reactors by catalyst particles adhering to the gas-liquid interface. This model is a combination of the particle-interface adhesion-dehesion (PIAD) model and the gas-to-liquid-tosolid (GLS)-gas-to-solid (GS) model. The PIAD model is a dynamic description of the equilibrium between the catalyst particle adhesion and dehesion rates at the gas-liquid interface. These rates determine the average residence time of the particles at the gas-liquid interface. The GLS-GS model is a combination of the classical, resistances-in-series, GLS masstransfer model and a direct GS mass-transfer model. The average particle residence time at the gas-liquid interface, the solid-liquid partition coefficient, and the reaction rate determine the mass-transfer rate by shuttling of the particles between the gas-liquid interface and the bulk liquid. The model parameters are determined from mass-transfer and reactivity experiments, performed with two different slurry systems and two Pd-catalyzed reactions, i.e., oxidation of glucose (aqueous liquid) and hydrogenation of (alpha)-methylstyrene (organic liquid), with carbon and silica catalysts in a laboratory-scale surface-aeration stirred-slurry reactor with a known flat gas-liquid interfacial area. The mass-transfer coefficient under reactive absorption conditions is higher than that under nonreactive, physical absorption conditions. Experimental and theoretical mass-transfer enhancement factors under physical and reactive absorption conditions agree well. The GS masstransfer coefficient increases with the mixing intensity, but the GLS mass-transfer coefficient increases more, finally leading to a decrease of the mass-transfer enhancement factor with the mixing intensity. The mass-transfer model is able to predict physical and reactive mass-transfer rates as a function of the mixing intensity and catalyst concentration.
Keywords :
Continuous-time , State-Task
Journal title :
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Serial Year :
2005
Journal title :
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Record number :
109679
Link To Document :
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