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Application of response surface methodology and central composite rotatable design for modeling and optimization of sulfuric and nitric leaching of spent catalyst

机译:响应面法和中心复合可旋转设计在废催化剂的硫酸和硝酸浸出建模和优化中的应用

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摘要

The optimization of leaching parameters for the Ni recovery of the used catalyst was developed using response surface methodology. The relationship between the Ni recoveries, and four main leaching parameters, temperature, acid concentration, leaching time and particle size were presented as empirical model equations. The predicted values of nickel recoveries were found to be in a reasonable agreement with the experimental values, with R-2 as correlation factor being 0.9669 and 0.9869 for sulfuric and nitric acids, respectively. The model equations were then optimized using the quadratic programming method to maximize nickel recovery. The optimum conditions were found to be 103.4A degrees C temperature, 246.5 min leaching time, 4.9 mol/L acid concentration and 30.6 mu m particle size to achieve the maximum Ni recovery (73.51%) for sulfuric leaching. Similarly, the conditions for maximum nickel recovery were found to be 104.1A degrees C temperature, 199.5 min leaching time, 4.45 mol/L acid concentration and 96.6 mu m particle size to achieve the maximum Ni recovery (99.76%) for nitric leaching.
机译:使用响应表面方法开发了用于回收所用催化剂的镍的浸出参数的优化方法。经验模型方程给出了镍回收率与四个主要浸出参数,温度,酸浓度,浸出时间和粒径之间的关系。镍回收率的预测值与实验值基本吻合,硫酸和硝酸的R-2作为相关因子分别为0.9669和0.9869。然后使用二次编程方法对模型方程进行优化,以最大程度地提高镍的回收率。发现最佳条件是103.4A的温度,246.5分钟的浸出时间,4.9 mol / L的酸浓度和30.6微米的粒径,以实现硫浸出的最大Ni回收率(73.51%)。同样,最大镍回收率的条件是:温度为104.1A℃,浸出时间为199.5分钟,酸浓度为4.45 mol / L,粒径为96.6μm,以实现硝酸浸出的最大镍回收率(99.76%)。

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