Effect of additives on diffusion coefficient for cupric ions and kinematics viscosity in CuSO&lt;sub&gt;4&lt;/sub&gt;-H&lt;sub&gt;2&lt;/sub&gt;SO&lt;sub&gt;4&lt;/sub&gt; solution at 60°C

Araneda-Hernández, Eugenia A.; Vergara-Gutierrez, Froilán; Pagliero-Neira, Antonio

doi:10.15446/dyna.v81n188.41815

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…The DCu(II) predictions with Model L were relatively close to the measured values with the maximum difference being 18.7%, whereas the predictions from Models K and M were 27.6 and 28.3% respectively when compared to the values obtained for the industrial electrolytes. It is known that addition agents like gelatin, thiourea and chloride can affect the DCu(II), but this usually leads to a lowering of the overall value (Araneda-Hernández et al, 2014). Based on the study of Araneda-Hernández et al (2014), addition of 1, 10 and 100 mg/dm 3 of glue in electrolytes containing 40 g/dm 3 Cu and 200 g/dm 3 H2SO4 decreases Dcu(II) 19.3%, 17.2% and 17.9%, respectively.…”

Section: Validation Of the Limiting Current Density Model And The Difmentioning

confidence: 99%

“…It is known that addition agents like gelatin, thiourea and chloride can affect the DCu(II), but this usually leads to a lowering of the overall value (Araneda-Hernández et al, 2014). Based on the study of Araneda-Hernández et al (2014), addition of 1, 10 and 100 mg/dm 3 of glue in electrolytes containing 40 g/dm 3 Cu and 200 g/dm 3 H2SO4 decreases Dcu(II) 19.3%, 17.2% and 17.9%, respectively. Similar additions of thiourea decrease Dcu(II) 23.4%, 13.3% and 18.4%, and chloride 0.09%, 33.3% and 34.7%, respectively.…”

Section: Validation Of the Limiting Current Density Model And The Difmentioning

confidence: 99%

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Diffusion coefficient of cupric ion in a copper electrorefining electrolyte containing nickel and arsenic

Kalliomäki

Wilson

Aromaa

et al. 2019

Minerals Engineering

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Diffusion and convection are the main modes of mass transport that occur during copper electrorefining. Diffusion determines the rate of copper transfer across the diffusion layer, which in turn, affects the dissolution of the anode and deposition on the cathode. The diffusion coefficient of cupric ion (DCu(II)) is a typical property that can be defined from the limiting current density (jlim) values. In this work, the limiting current densities were measured for 24 different synthetic copper electrolytes over a temperature range of 50-70 °C using a rotating disc electrode (RDE). From this data, a model for jlim and the corresponding models for DCu(II) were constructed using Levich (Model L), Koutecký-Levich (Model K) and mixed-control Newman equations (Model M). The models for jlim and DCu(II) were designed, refined and analyzed using the modeling and design tool MODDE, with the temperature, copper, nickel, arsenic and sulfuric acid concentrations as variables. Results from this research show for the first time that an increase in arsenic concentration has a reciprocal effect on the DCu(II) under copper electrorefining conditions. Furthermore, the models were validated with 11 industrial electrorefining electrolytes with known compositions. Model L (DCu(II) based on Levich equation) was shown to provide the highest correlation with the industrial solutions when compared to the other models (Model K and M) considered and previously published diffusion coefficient models. Overall, this work provides an explanation for the previously observed data variances in the literature, investigates for the first time the combined effect of parameters on DCu(II) value in industrial copper electrolysis and clarifies the effect of arsenic on the DCu(II) of copper electrorefining electrolytes.

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Section: Validation Of the Limiting Current Density Model And The Difmentioning

confidence: 99%

Section: Validation Of the Limiting Current Density Model And The Difmentioning

confidence: 99%

Diffusion coefficient of cupric ion in a copper electrorefining electrolyte containing nickel and arsenic

Kalliomäki

Wilson

Aromaa

et al. 2019

Minerals Engineering

View full text Add to dashboard Cite

show abstract

Effective Copper Diffusion Coefficients in CuSO4–H2SO4 Electrowinning Electrolytes

Bauer

Moats

2020

The Minerals, Metals &Amp; Materials Series

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An Experimental Review of the Physicochemical Properties of Copper Electrowinning Electrolytes

Chibwe

Tadie

2021

Mining, Metallurgy & Exploration

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Effect of additives on diffusion coefficient for cupric ions and kinematics viscosity in CuSO<sub>4</sub>-H<sub>2</sub>SO<sub>4</sub> solution at 60°C

Cited by 3 publications

References 16 publications

Diffusion coefficient of cupric ion in a copper electrorefining electrolyte containing nickel and arsenic

Diffusion coefficient of cupric ion in a copper electrorefining electrolyte containing nickel and arsenic

Effective Copper Diffusion Coefficients in CuSO4–H2SO4 Electrowinning Electrolytes

An Experimental Review of the Physicochemical Properties of Copper Electrowinning Electrolytes

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