Effect of internal recycle on mixer-settler performance

Hoh, Ying‐Chu; Ju, Shin-Jon; Chiu, Tai-Ming

doi:10.1016/0304-386x(89)90021-2

Cited by 10 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, mass transfer effects can influence process operation, so the steady-state of a dynamically run process may differ from the one calculated in this article based on extraction equilibrium modeling. The performance would depend on the residence time and dispersion conditions in the mixers as well as mixing effects in the settlers (Hoh et al, 1989). In order to improve the recovery of copper, the process performance could be enhanced by implementing an optimum series-parallel circuit configuration (Nisbett et al, 2008).…”

Section: Modeling Of Simultaneous Copper and Iron Liquid-liquid Extractionmentioning

confidence: 99%

Modeling the liquid–liquid extraction equilibrium of iron (III) with hydroxyoxime extractant and equilibrium-based simulation of counter-current copper extraction circuits

Vasilyev

Virolainen

Sainio

2018

Chemical Engineering Science

View full text Add to dashboard Cite

The phase equilibrium in the loading and stripping stages of the liquid-liquid extraction of iron (III) with hydroxyoxime extractant in kerosene was studied over a wide range of hydroxyoxime extractant (Acorga M5640, 3-25 vol-%) and iron (1.5-45 g/L) concentrations. A mechanistic mathematical model explaining the phase equilibrium in the loading stage was developed and validated with new experimental data. The model accounts for the non-ideality of both the aqueous and the organic phases. The composition of the aqueous sulfate solution was calculated through speciation of the electrolytes with an extended Debye-Hückel model. The organic phase non-ideality in the loading stage was described with an empirical correlation that accounts for the effect of extractant concentration on the extraction equilibrium constant. The model parameters were fitted against measured experimental data using nonlinear regression analysis. A mechanistic mathematical model explaining the co-extraction of iron in copper liquid-liquid extraction was developed and validated using D-optimal experiment design and the Markov chain Monte Carlo algorithm. The model facilitates the optimization of copper liquid-liquid extraction circuits, as iron is the most common impurity in industrial systems, making process operations challenging.

show abstract

Section: Modeling Of Simultaneous Copper and Iron Liquid-liquid Extractionmentioning

confidence: 99%

Modeling the liquid–liquid extraction equilibrium of iron (III) with hydroxyoxime extractant and equilibrium-based simulation of counter-current copper extraction circuits

Vasilyev

Virolainen

Sainio

2018

Chemical Engineering Science

View full text Add to dashboard Cite

show abstract

“…Hoh et al [10] have modeled copper solvent extraction by a continuous-flow stirred tank reactor model. The model considers the copper, reagent and hydrogen ion concentrations together with the flow rates.…”

mentioning

confidence: 99%