The global transition towards renewable energy, driven by low-carbon theories and technologies, has resulted in an increasing surge in the demand for critical and unique elements, of which nickel (Ni) and copper (Cu) are encompassed. In this investigation, using acid leaching, the recovery of such elements from polymetallic tailings to supplement conventional extraction processes was studied. The effective leaching parameters were investigated and optimized to enhance the simultaneous recovery of Ni, Cu, cobalt (Co), chromium (Cr), and manganese (Mn) from the tailings sample. To this end, the response surface methodology (RSM) was employed, with sulfuric acid (HSO) concentration (0–20 g/L), ethylenediaminetetraacetic acid (EDTA) concentration (0–20 g/L), ferric chloride (FeCl) concentration (0–20 g/L), leaching temperature (20–80 °C), and leaching time (4–12 h) as independent variables. The analysis of variance depicted that ferric chloride concentration was the most prominent process parameter for the recovery of Ni, Cu, Co, and Mn. The recovery of Cr was contingent to leaching temperature and sulfuric acid addition. Ensuing tests under the optimal conditions resulted in the recovery of 100.0 % Cu, 89.8 % Co, 42.1 % Cr, and 100.0 % Mn in addition to 93.7 % Ni. The kinetics was also studied using the shrinking-core model. Kinetic data indicates that the dissolution of Ni, Cu, Co, and Cr is governed by the chemically controlled model, while that of Mn by the diffusion control model. The activation energies as per the Arrhenius equation are estimated as 32.43, 36.78, 34.88, 24.02, and 29.18 kJ/mol for Ni, Cu, Co, Cr and Mn.

中文翻译：

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硫化镍浮选尾矿浸出回收有价金属的研究


在低碳理论和技术的推动下，全球向可再生能源转型导致对关键和独特元素的需求不断激增，其中包括镍（Ni）和铜（Cu）。在本次研究中，研究人员利用酸浸从多金属尾矿中回收这些元素，以补充传统的提取工艺。研究并优化了有效的浸出参数，以提高尾矿样品中镍、铜、钴 (Co)、铬 (Cr) 和锰 (Mn) 的同时回收率。为此，采用响应面法 (RSM)，硫酸 (HSO) 浓度 (0–20 g/L)、乙二胺四乙酸 (EDTA) 浓度 (0–20 g/L)、氯化铁 (FeCl)浓度 (0–20 g/L)、浸出温度 (20–80 °C) 和浸出时间 (4–12 h) 作为自变量。方差分析表明，氯化铁浓度是回收镍、铜、钴和锰的最重要的工艺参数。 Cr 的回收率取决于浸出温度和硫酸添加量。在最佳条件下进行的后续测试除了 93.7% 的镍外，还回收了 100.0% 的铜、89.8% 的钴、42.1% 的铬和 100.0% 的锰。还使用收缩核心模型研究了动力学。动力学数据表明，Ni、Cu、Co 和 Cr 的溶解受化学控制模型控制，而 Mn 的溶解受扩散控制模型控制。根据阿伦尼乌斯方程，Ni、Cu、Co、Cr 和 Mn 的活化能估计为 32.43、36.78、34.88、24.02 和 29.18 kJ/mol。