Dissolution of oxidised Co–Cu ores using hydrochloric acid in the presence of ferrous chloride

Apua, M. Clotilde; Mulaba‐Bafubiandi, A.F.

doi:10.1016/j.hydromet.2011.04.012

Cited by 12 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cobalt is a key component in rechargeable batteries and other consumer electronic products and its demand is expected to expand further with the increased use of electric vehicles. [1][2][3][4] However, the cobalt content in the earth's crust is scarce (only 0.001%). 4 The Democratic Republic of Congo deposits represent an important resource for cobalt ore 5,6 and several deposits are currently in development 2,3,7,8 .…”

Section: Introductionmentioning

confidence: 99%

“…In heterogenite minerals, the cobalt is present in both bivalent and trivalent states. The dissolution of cobalt oxide ores may be accomplished in sulfuric acid media but cobalt in a trivalent state leaches only in the presence of reducing agents such as sulfur dioxide (SO 2 ) 9 , sodium metabisulfite (Na 2 S 2 O 5 ) known as SMBS, metallic copper powder, and ferrous ions 2,8,10,11 . Under reducing acid leaching, the dissolution rate of cobalt was reported to be faster than that under standard acid leaching.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of Taguchi method and artificial neural network model for the prediction of reductive leaching of cobalt(III) from oxidised low-grade ores

Kasongo

Mwanat

2021

S. Afr. J. Sci.

View full text Add to dashboard Cite

The leaching process of cobalt using a wide range of experimental variables is described. The treated cobalt samples were from the Kalumbwe Mine in the south of the Democratic Republic of Congo. In this study, a predictive model of cobalt recovery using both the Taguchi statistical method and an artificial neural network (ANN) algorithm was proposed. The Taguchi method utilising a L25 (55) orthogonal array and an ANN multi-layer, feed-forward, back-propagation learning algorithm were adopted to optimise the process parameters (acid concentration, leaching time, temperature, percentage solid, and sodium metabisulfite concentration) responsible for the high recovery of cobalt by reducing sulfuric acid leaching. The ANN was built with a neuron in the output layer corresponding to the cobalt leaching recovery, 10 hidden layers, and 5 input variables. The validation of the ANN model was performed with the results of the Taguchi method. The optimised trained neural network depicts the testing data and validation data with R2 equal to 1 and 0.5676, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Taguchi method and artificial neural network model for the prediction of reductive leaching of cobalt(III) from oxidised low-grade ores

Kasongo

Mwanat

2021

S. Afr. J. Sci.

View full text Add to dashboard Cite

show abstract

“…It is typically less energy intensive and more suitable for low grade and complex ore types. Besides, it has small environmental impacts due to lower fuel requirements and lack of SO 2 generation [16][17][18][19][20]. Despite the benefits of hydrometallurgy for the recovery of copper and cobalt from carrollite, hyd rometallurgical route showed little commercial success.…”

Section: Introductionmentioning

confidence: 99%

Archives of Metallurgy and Materials

Dong,

Wu,

et al. 2020

View full text Add to dashboard Cite

A new extraction process suitable for treating refractory CuCo 2 S 4 under atmospheric pressure acidic leaching conditions was inv estigated. The effect of variables such as oxidant species, liquid-to-solid ratio, leaching time, oxidizing agent and mineral quality ratio, H 2 SO 4 concentration, temperature and sodium chloride concentration on the extraction efficiency of Co, Cu and Fe from CuCo 2 S 4 were investigated. Under optimal conditions including P 80 -P 90 of the sample was d < 0.0074 mm, stirring speed of 400 rpm, leaching time of 8 h with sodium chlorate (NaClO 3 ) and mineral quality ratio of 0.5, 2 mol/L H 2 SO 4 , liquid-to-solid ratio of 7, leaching temperature of 90°C and 4 mol/L s odium chloride. The leaching efficiency of Co, Cu, and Fe were nearly 97.08%, 100%, and 92.45%, respectively. Furthermore, the contents of cobalt and copper in leaching residue were all less than 0.4 wt.%, which satisfies the requirements of industrial production.

show abstract

“…Ammonium pressure leaching requires specialty equipment to sustain high pressure operations, leading to high capital and operating cost. Currently, sulfuric acid leaching has been considered as the leachant to recover copper and cobalt from a copper-cobalt ore of Democratic Republic of Congo (DRC) (Apua and Mulaba-Bafubiandi, 2011;Arslan and Arslan, 2002;Aymn and Ziyadanogullari, 2007;Gupta et al, 2003). However, many mine sites in DRC are remote and the supply of chemicals becomes a challenge.…”

Section: Introductionmentioning

confidence: 99%

A study of recovery of copper and cobalt from copper–cobalt oxide ores by ammonium salt roasting

et al. 2012

View full text Add to dashboard Cite

Dissolution of oxidised Co–Cu ores using hydrochloric acid in the presence of ferrous chloride

Cited by 12 publications

References 9 publications

Application of Taguchi method and artificial neural network model for the prediction of reductive leaching of cobalt(III) from oxidised low-grade ores

Application of Taguchi method and artificial neural network model for the prediction of reductive leaching of cobalt(III) from oxidised low-grade ores

Archives of Metallurgy and Materials

A study of recovery of copper and cobalt from copper–cobalt oxide ores by ammonium salt roasting

Contact Info

Product

Resources

About