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Simulation of Barium Sulfate Precipitation using CFD and FM‐PDF Modeling in a Continuous Stirred Tank
Author(s) -
Wang Z.,
Zhang Q. H.,
Yang C.,
Mao Z.S.,
Shen X. Q.
Publication year - 2007
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.200700262
Subject(s) - impeller , population balance equation , computational fluid dynamics , residence time (fluid dynamics) , rushton turbine , precipitation , mixing (physics) , mechanics , materials science , inlet , population , thermodynamics , chemistry , engineering , mechanical engineering , physics , meteorology , demography , geotechnical engineering , quantum mechanics , sociology
A mixing‐precipitation model combining computational fluid dynamics (CFD), finite‐mode PDF (probability density function) model, population balance and kinetic modeling has been proposed to simulate the barium sulfate precipitation process in a continuous stirred tank agitated by a Rushton turbine. The effect of various operating conditions such as impeller speed, feed concentration, feed position and mean residence time on the barium sulfate precipitation process is clearly demonstrated. It is shown that the mean crystal size increases by increasing the impeller speed and mean residence time. However, when the feed concentration is increased, the mean crystal size decreases. The predictions are in reasonable agreement with the experimental data in the literature.