Precipitation processes MSMPR

Budz, J., Jones, A.G. and Mullin, J.W., 1987b. Agglomeration of potassium sulphate in an MSMPR crystallizer. In Fundamental aspects of crystallization and precipitation processes, American Institute of Chemical Engineers. Symposium Series, No. 253, 83, New York American Institute of Chemical Engineers, pp. 78-84. 

This misconception is particularly common in crystallization. The hypothesis of a perfectly mixed system is, for crystallization and precipitation processes, labeled as mixed-suspension, mixed-product removal (MSMPR). With diis model the crystalUzer is modeled with a spatially homogeneous NDF, generally called the crystal-size distribution (CSD). However, the fact that the CSD is constant through the vessel does not mean that the rates of crystal nucleation, molecular growth, aggregation, and breakage are constant. 

Continuous MSMPR Precipitator. The population balance, which was put forward by Randolph and Larson (1962) and Hulbert and Katz (1964), provides the basis for modeling the crystal size distribution (CSD) in precipitation processes. For a continuous mixed-suspension, mixed-product-removal (CMSMPR) precipitator with no suspended solids in the feed streams, the population balance equation (PBE) can be written as (Randolph and Larson 1988)... 

Reliable kinetic data are of paramount importance for successful modelling and scale-up of precipitation processes. Many data found in the literature have been determined assuming MSMPR conditions, analogous to the CSTR model in reaction engineering. Here, a method developed by Zauner and Jones (2000a) is outlined. 

Woinaroschy etal. (1994) presented an operational level optimization based on artificial neural networks (ANN), where the objective was to determine best operating conditions for a crystallizer. Steady-state experimental data obtained under a range of operating conditions for reactor temperature, feed concentration and mean residence time was used to develop an ANN model capable of optimizing operation of a CaC03 precipitation process in a 1 litre MSMPR... 

Chemically pure reagents were used. Cadmium was added as its sulfate salt in concentrations of about 50 ppm. Lanthanides were added as nitrates. For the experiments with other metal ions so-called "black acid from a Nissan-H process was used. In this acid a large number of metal ions were present. To achieve calcium sulfate precipitation two solutions, one consisting of calcium phosphate in phosphoric acid and the other of a phosphoric acid/sulfuric acid mixture, were fed simultaneously in the 1 liter MSMPR crystallizer. The power input by the turbine stirrer was 1 kW/m. The solid content was about 10%. Each experiment was conducted for at least 8 residence times to obtain a steady state. During the experiments lic iid and solid samples were taken for analysis by ICP (Inductively Coupled Plasma spectrometry, based on atomic emission) and/or INAA (Instrumental Neutron Activation Analysis). The solid samples were washed with saturated gypsum solution (3x) and with acetone (3x), and subsequently dried at 30 C. The details of the continuous crystallization experiments are given in ref. [5]. 

Figures 6 and 7 present the solids yield for canola and sunflower proteins during isoelectric precipitations, respectively. Sunflower protein yields from the flow-type precipitators increased with increases in mean residence times. This means that slower processes of particle growth by aggregation and diffusion follow an initial rapid nucleation process. About two minutes are required before the final yield is reached according to the results obtained from the tubular precipitator operating in the laminar flow regime and the batch precipitator. For canola proteins, mns in an MSMPR precipitator showed little changes in the yield with the mean residence time. This is because the mean residence times were longer (between 1.5 and 7.5 min) allowing the reaction to go to completion.

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