Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran.
Department of Control and Modeling of Mineral Processing Systems, Institute of Mineral Processing, ACECR at Tarbiat Modares, Tehran, Iran.
Environ Sci Pollut Res Int. 2021 Aug;28(31):42121-42134. doi: 10.1007/s11356-021-13643-w. Epub 2021 Apr 2.
This research investigated the treatment process of an Iranian zinc plant residue for recycling lead utilizing brine leaching and cementation with aluminum powder. Response surface modeling was employed for this purpose and accordingly, two quadratic mathematical models with R of 0.9058 and 0.9463 were identified for relationship between process parameters. The ANOVA and 3D response surface graphs exhibited that the leaching and cementation processes were significantly depended on the interactive effects between influential parameters. The interaction effects of liquid/solid ratio with NaCl concentration, temperature and stirring rate, and quadratic effect of NaCl concentration had the largest impact on the recovery. It was also distinguished that the most impressive parameters on the cementation performance were the linear effect of Al:Pb molar ratio, cementation time and temperature, and the quadratic impact of agitation rate. Additionally, numerical optimization was carried out by desirability function approach and the maximum leaching recovery of lead (77.14%) was achieved at 400 g/L NaCl concentration, 10 mL/g liquid/solid ratio, 300 rpm stirring speed, 50 °C temperature, and 60-min leaching time. Also, the highest cementation efficiency (74.97%) was determined after 75 min at 1.5 Al:Pb molar (stoichiometry) ratio, ~ 420 rpm agitation rate, and 50 °C temperature. Furthermore, thermodynamic conclusions implied an endothermic nature and good affinity of lead toward each two processes.
本研究调查了利用盐水浸出和铝粉还原法处理伊朗锌厂残渣以回收铅的处理过程。为此目的采用响应面建模，并且相应地确定了两个具有 R2 值为 0.9058 和 0.9463 的二次数学模型，以建立过程参数之间的关系。方差分析和 3D 响应面图表明，浸出和还原过程显著依赖于影响参数之间的交互作用。液固比与 NaCl 浓度、温度和搅拌速率的交互作用以及 NaCl 浓度的二次效应对回收有最大的影响。还可以区分出对水泥性能影响最大的参数是 Al:Pb 摩尔比的线性效应、水泥化时间和温度，以及搅拌速度的二次影响。此外，通过期望函数方法进行了数值优化，在 400 g/L NaCl 浓度、10 mL/g 液固比、300 rpm 搅拌速度、50°C 温度和 60 分钟浸出时间下，铅的最大浸出回收率（77.14%）得以实现。同样，在 1.5 Al:Pb 摩尔比（化学计量比）、约 420 rpm 搅拌速度和 50°C 温度下，经过 75 分钟，确定了最高的水泥化效率（74.97%）。此外，热力学结论表明每个过程都是吸热的，并且铅与两种过程都具有良好的亲和力。
