4.7 Article

Reductive leaching of zinc, cobalt and manganese from zinc plant residue

期刊

HYDROMETALLURGY
卷 161, 期 -, 页码 185-192

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.hydromet.2016.02.003

关键词

Zinc; Cobalt; Manganese; Reductive leaching; Residue; Citric acid

向作者/读者索取更多资源

Zinc plant residue known as hot filter cake (HFC) contains a significant quantity of zinc oxide (ZnO). In addition, it holds cobalt hydroxide Co(OH)(3), manganese dioxide (MnO2) and minor amounts of nickel, copper, iron and lead containing species. The process consists of three unit operations: (i) selective leaching of zinc; where the effects of parameters such as acid concentration (0-1.0 M), temperature (40-70 degrees C), time (15-90 min) and solid to liquid ratio (S/L) (0.01-0.1 g mL(-1)) are investigated. At this stage, 81.5% of zinc, 2.0% of cobalt and 1.7% of manganese were extracted at the optimum conditions determined. (ii) Reductive leaching of cobalt and manganese; where the leaching residue of step (i) was leached with 1 M sulfuric acid solution in the presence of citric acid (C6H8O7 center dot H2O) as a reducing agent. The investigated independent leaching parameters were citric acid content (30-60% more than the stoichiometric ratio), S/L ratio (0.02-0.1 g mL-1), temperature (75-95 degrees C) and time (45-75 min). Response surface methodology (RSM) was used to optimize the parameters. In the optimum conditions, recovery of cobalt, manganese and zinc was 96.43%, 90.26% and 64.12%, respectively. (iii) Sulfide precipitation; at this stage, in order to separate Co(II), Zn(II) and Mn(lI), sodium sulfide (Na2S) 1 M was added to the solution from the reductive leaching, at the optimum conditions investigated. Recovery of zinc, cobalt and manganese was 93.45%, 95.15% and 100%, precipitated at pH = 2, pH = 3 and pH = 8, respectively. Finally, based on this research work, a conceptual flowsheet was developed. (C) 2016 Published by Elsevier B.V.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据