The precipitation of potassium aluminium sulphate from aqueous solution

Mullin, J.W.; Žáček, Stanislav

doi:10.1016/0022-0248(81)90132-9

Cited by 49 publications

(33 citation statements)

References 6 publications

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“…Stavek et al (1988) demonstrated that the growth of silver halide particles was affected by impeller speed in a double jet semi-batch reactor, and SohneJ (\981) also showed a similar influence of impeller speed on the nucleation of strontium sulphate in a batch reactor. In addition, the induction times in reaction precipitations of potassium aluminum sulphate (Mullin and Zacek, 1981), nickel ammonium sulphate (M ullin and Osman, 1973), and calcium' tungstate (Sohnel and Mullin, 1987) in batch reactors were markedly reduced by increasing the impeller speed. In their studies the effect of impeller speed on the induction time was most clearly displayed at lower feed concentrations.…”

Section: Introductionmentioning

confidence: 97%

Micromixing Effects on Barium Sulfate Precipitation in an MSMPR Reactor

Kim

Tarbell

1996

Chemical Engineering Communications

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The Effects of non-ideal and nonhomogeneous mixing on barium sulfate precipitation in an MSMPR reactor were observed experimentally and analyzed theoretically. To generate nonhomogeneous mixing the unmixed feed streams were fed to the reactor at the same location (joint feeding mode) or a plug flow reactor was connected to the MSMPR reactor. These nonhomogeneous mixing conditions resulted in significant reductions in particle size and increases in particle numbers. These non ideal mixing effects were dependent on the impeller speed, feed stream velocity and residence time in the connected plug flow reactor and are believed to result from elevated supersaturation levels in a premixing zone which are controlled by turbulent micromixing.To model the effect of nonhomogeneous mixing (premixing) in the MSM PR reactor a plug flow-stirred tank reactor series model was developed. The plug flow reactor represents the premixing region of the MSMPR reactor in which turbulent micromixing is important, and the stirred tank reactor describes the homogeneous mixing region of the MSM PR reactor where particle growth is important. The model predicts that the premixing effect is strongly dependent on micromixing of the feeds in the premixing region, and thus, as the turbulent mixing intensity in this region is increased, the particle size in the product suspension is reduced and the particle population is increased. These predictions of the model arc in good agreement with the experimental data. An interesting prediction of the model is that as the impeller speed increases, the precipitation of barium sulfate in an MSMPR reactor deviates increasingly from the precipitation in a perfectly mixed (ideal) reactor.

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Section: Introductionmentioning

confidence: 97%

Micromixing Effects on Barium Sulfate Precipitation in an MSMPR Reactor

Kim

Tarbell

1996

Chemical Engineering Communications

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“…The classical nucleation theory predicts that a linear relationship between ln t ind and 1/(ln S) 2 exists [2]. Another factor that has an important effect on induction time is the temperature, and in most cases induction time decreases with increasing temperature [3,7].…”

Section: Introductionmentioning

confidence: 99%

Induction Time of Reaction Crystallization of Silver Nanoparticles

et al. 2007

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This paper describes the measurement of induction time in the reaction crystallization of silver nanoparticles at different temperatures and supersaturations, and compares it with classical nucleation theory. Silver nanoparticles are synthesized by a reaction of silver nitrate with hydrazine in the presence of sodium citrate as stabilizer. Induction time is estimated from an absorption-time graph obtained by monitoring the absorption of the solution after creation of supersaturation. The results show that induction time decreases with increasing supersaturation and temperature. The classical nucleation theory can well predict experimental data. Interfacial tension is estimated at different temperatures and compared with two correlations for calculation of interfacial tension.

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“…Thus a plot of ln(t in ) against (ln S) À2 should yield a straight line if the data represent homogeneous nucleation and the interfacial tension may then be calculated from its slope [34][35][36][37].…”

Section: Induction Time and Interfacial Tensionmentioning

confidence: 99%