Metall. Res. Technol.
Volume 116, Number 3, 2019
|Number of page(s)||8|
|Published online||21 March 2019|
Investigation and optimization of influencing parameters on the copper extraction from a low-grade oxide deposit by acid leaching
Zagros Mes Sazan (ZMS) Co.,
2 Materials and Energy Research Center (MERC), 3177983634, Karaj, Iran
3 Department of Mining Engineering, Isfahan University of Technology, 8415683111, Isfahan, Iran
* e-mail: email@example.com
Accepted: 20 August 2018
Recovery of copper (II) from a low-grade deposit obtained from the rejects of a crushing circuit was investigated by means of leaching using H2SO4 solution. Sulfuric acid concentration was between 30–180 g/L, solid content was set at 10–60%, particles were in the size range of −1 + 2 mm, and the leaching time was 5–60 min. Initially, a screening step was utilized involving a full factorial design (FFD) with four factors at two levels and two replications. Normal probability plot of residuals, analysis of variance (ANOVA), surface plots, and contour plots were used to study the effects of the main operational parameters and their interactions. The results of ANOVA, F-test and t-student test showed that at 95% confidence level, the sulfuric acid, solid content, leaching time, and the 2-way interaction of them considerably affected Cu(II) extraction, and increasing their value positively influenced the Cu(II) extraction. A factorial regression model was developed to relate Cu(II) extraction and the operational variables. The fitted model presented a good agreement between the experimental data and the predicted values with a correlation coefficient (R2) of 0.9989. Optimization of Cu(II) extraction suggested that the optimum conditions for Cu(II) extraction (Re = 72%) were sulfuric acid: 90 g/L, solid content: 50%, particle size: under 2 mm, and leaching time: 30 min.
Key words: copper(II) / crusher reject / full factorial design / leaching / optimization
© EDP Sciences, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.