CFD modelling of continuous precipitation of barium sulphate in a stirred tank

Abstract By a combination of computational fluid dynamics (CFD), population balance and kinetic modelling, model solutions have been obtained for the precipitation of BaSO 4 in a dual-feed pipe, 0.3 m diameter continuous reactor agitated by a Rushton turbine. The conditions simulated include four agitator speeds from 200 to 950 rpm, two mean residence times (100 and 1180 s) and two shape factors ( k v =58 and π /6). The flow field was solved using the multiple reference frame technique to give residuals −4 and this solution was then transferred to a stationary reference frame and the iterations for other differential equations were carried out until the residuals were −7 . The results showed that >95% BaSO 4 precipitated in the reactor, which intuitively seems correct but this finding is in contrast to much lower values in earlier work, probably because of the more stringent convergence requirements used here. Agitation speed had little effect on the results, as has been recently shown in the literature, justifying the decision not to include a micromixing model in the analysis. However, mean residence time and shape factor did have a very substantial effect on the precipitate crystal size.

[1]  Zdzisław Jaworski,et al.  CFD modelling of turbulent macromixing in stirred tanks. Effect of the probe size and number on mixing indices , 1998 .

[2]  Jacques Villermaux,et al.  Are barium sulphate kinetics sufficiently known for testing precipitation reactor models , 1996 .

[3]  J. Tarbell,et al.  MICROMIXING EFFECTS ON BARIUM SULFATE PRECIPITATION IN A DOUBLE-JET SEMI BATCH REACTOR , 1999 .

[4]  H. Wei,et al.  Application of CFD Modelling to Precipitation Systems , 1997 .

[5]  The role of hydrodynamics in precipitation , 1996 .

[6]  John M. Tarbell,et al.  Effect of mixing on the precipitation of barium sulfate in an MSMPR reactorssss , 1990 .

[7]  David Wong,et al.  Effect of ion excess on particle size and morphology during barium sulphate precipitation: an experimental study , 2001 .

[8]  Ryszard Pohorecki,et al.  Mixing-precipitation model with application to double feed semibatch precipitation , 1995 .

[9]  R. David,et al.  Influence of Mixing Characteristics on the Quality and Size of Precipitated Calcium Oxalate in a Pilot Scale Reactor , 1997 .

[10]  Mohsen H. Al-Rashed,et al.  CFD modelling of gas–liquid reactive precipitation , 1999 .

[11]  Jerzy Bałdyga,et al.  Closure Problem for Precipitation , 1997 .

[12]  H. Muhr,et al.  CFD simulation of precipitation in the sliding-surface mixing device , 2001 .

[13]  R. Fox,et al.  Comparison of different modelling approaches to turbulent precipitation , 2000 .

[14]  L. A. Bromley Thermodynamic properties of strong electrolytes in aqueous solutions , 1973 .

[15]  O.S.L. Bruinsma,et al.  Influence of mixing on the product quality in precipitation , 1996 .

[16]  A. Nienow,et al.  CFD Study of Homogenization with Dual Rushton Turbines—Comparison with Experimental Results: Part I: Initial Studies☆ , 2000 .

[17]  Experimental investigation of precipitation reactions under homogeneous mixing conditions , 1996 .

[18]  Jianfeng Chen,et al.  Interaction of macro- and micromixing on particle size distribution in reactive precipitation , 1996 .

[19]  Jos Derksen,et al.  A Numerical Investigation into the Influence of Mixing on Orthokinetic Agglomeration , 2000 .