Chemical Engineering Communications · 1987 · 52 citations · 13 references
EngineeringChemical EngineeringChemistryChemical KineticsProcess Systems EngineeringReaction EngineeringKinetic ModelingMass TransferReactor ModelingFlow PatternMixing DynamicsMixing EffectsRecirculationRecirculation Time ModelingSegregationSegregation DynamicsSemi-batch Reactor Modeling
Abstract A model is proposed for interpreting micromixing experiments in a semi-batch reactor. In these experiments, a fast consecutive-competing reaction system is used A + B → R, R + B → S, B being added either dropwise or as a pulse into an excess of A. A segregation index Xs = 2ns /nB0 is measured after completion of the reaction for various locations of the injection point. The macroscopic flow pattern is assumed to be known, essentially characterized by the recirculation time tc . Micromixing then takes place within the cloud via a mechanism of interaction with the mean environment (IEM model, micromixing time tm ). Experimental results published by Barthole et al. (precipitation of barium sulphate) and Bourne et al. (diazo coupling) are successfully interpreted by this model. The influence of stirring speed, injection volume, concentration of species and mode of injection (pulse or dropwise) are especially well accounted for. This model provides a simple method for predicting the influence of mixing on selectivity in semi-batch reactors. KEYWORDS: Micromixingstirred tankconsecutive-competing reactionssemi-batch reactors Notes † To whom all correspondence should be addressed.
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Octave Levenspiel · Industrial & Engineering Chemistry Research · 1999 · 10K citations
Mixing and fast chemical reaction—I
John R. Bourne, F. Kozicki, Paul Rys · Chemical Engineering Science · 1981 · 208 citations
The isotropic turbulent mixer: Part II. Arbitrary Schmidt number
S. Corrsin · AIChE Journal · 1964 · 203 citations