2015
DOI: 10.1021/acs.iecr.5b01763
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Gypsum Crystallization during Phosphoric Acid Production: Modeling and Experiments Using the Mixed-Solvent-Electrolyte Thermodynamic Model

Abstract: The size distributions of calcium sulfate dihydrate crystals formed during the industrial phosphoric acid production process are critical to the acid filtration efficiency. In this work, a thermodynamically consistent definition of supersaturation is derived and modeled using the mixed-solvent-electrolyte framework in OLI software for gypsum in an acid mixture. Continuous reactive crystallization experiments are carried out to estimate the gypsum growth and nucleation kinetics at different temperatures. A popu… Show more

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Cited by 29 publications
(25 citation statements)
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References 36 publications
(64 reference statements)
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“…It is observed in Table 6 that these two conditions, σ (1) S < 0 and α > 0, are fulfilled, which is a satisfactory outcome, and that the fits are generally of good accuracy. Overall, most values for σ (1) S are of the same order of magnitude (of the order of -0.2 or -0.3).…”
Section: Results From Bimsa Model and Discussionmentioning
confidence: 76%
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“…It is observed in Table 6 that these two conditions, σ (1) S < 0 and α > 0, are fulfilled, which is a satisfactory outcome, and that the fits are generally of good accuracy. Overall, most values for σ (1) S are of the same order of magnitude (of the order of -0.2 or -0.3).…”
Section: Results From Bimsa Model and Discussionmentioning
confidence: 76%
“…Moreover, besides a low value of the deviation (AARD in Table 6), a good fit should be characterized by values of σ (1) S and α that are respectively negative and positive, and do not have unrealistic values. These latter two conditions express the fact that the cation diameter and the relative permittivity are expected to decrease with concentration if the model indeed has some physical meaning.…”
Section: Results From Bimsa Model and Discussionmentioning
confidence: 99%
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“…A judicious algebraic manipulation allows the growth and nucleation rates to be determined independently of other crystallization phenomena, even if those phenomena occur in the same experiment . This approach has been broadly applied in academia and industry to sequentially estimate growth and nucleation kinetics, growth, nucleation and agglomeration kinetics, growth and agglomeration kinetics, growth and breakage kinetics, or growth, nucleation, agglomeration and breakage, and to obtain initial estimates of the kinetic parameters before applying optimal model‐based experimental design to simultaneously fit the whole model …”
Section: Introductionmentioning
confidence: 99%