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The Modeling and Optimization of Iron Removal from Silica Sand Under Ultrasound-Assisted Leaching by Response Surface Methodology
Mining, Metallurgy & Exploration ( IF 1.9 ) Pub Date : 2021-07-12 , DOI: 10.1007/s42461-021-00457-0
Volkan Arslan 1
Affiliation  

This study aimed to remove the contaminants in quartz sand by using an eco-friendly method and to obtain high-purity quartz. For this purpose, ultrasound-assisted acid leaching was applied. Equal amounts of a mixture of diluted hydrochloric and oxalic acids were used as the solvent. Response surface methodology (RSM) was used for optimizing, modeling, and predicting the experimental parameters. The correlation coefficient (R2) of the proposed quadratic model for the relationship between iron removal yield and test parameters was calculated as 0.9731 and it was determined that the predicted and actual values were compatible. Finally, optimization experiments were made and optimum experiment conditions were revised and determined as 83.38 °C of leaching temperature, 196.35 min of leaching time, 2.86 M of acid concentration, and 202.24 W of ultrasound power. Under the optimum conditions determined after optimization, the highest yield of iron removal was determined as 95.08%. Under the optimal parameters, the SiO2 content of the concentrates increased from 97.841 to 99.907% and the Fe2O3 content reduced from 0.225 to 0.011%.



中文翻译:

响应面法超声辅助浸出硅砂除铁建模与优化

本研究旨在通过环保的方法去除石英砂中的污染物,获得高纯度的石英。为此,应用了超声辅助酸浸。等量的稀盐酸和草酸的混合物用作溶剂。响应面方法 (RSM) 用于优化、建模和预测实验参数。相关系数 (R 2) 的除铁率与测试参数之间的关系的建议二次模型计算为 0.9731,并确定预测值和实际值是兼容的。最后进行优化试验,修正确定最佳试验条件为浸出温度83.38℃、浸出时间196.35 min、酸浓度2.86 M、超声功率202.24 W。在优化后确定的最佳条件下,铁去除率最高确定为95.08%。在优化参数下,精矿的SiO 2含量从97.841%提高到99.907%,Fe 2 O 3含量从0.225%降低到0.011%。

更新日期:2021-07-12
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