Li Xin, Xing Pengfei, Du Xinghong, Gao Shuaibo, Chen Chen
School of Metallurgy, Northeastern University, Shenyang 110000, PR China.
School of Metallurgy, Northeastern University, Shenyang 110000, PR China.
Ultrason Sonochem. 2017 Sep;38:84-91. doi: 10.1016/j.ultsonch.2017.02.037. Epub 2017 Mar 3.
In this paper, the ultrasound-assisted leaching of iron from boron carbide waste-scrap was investigated and the optimization of different influencing factors had also been performed. The factors investigated were acid concentration, liquid-solid ratio, leaching temperature, ultrasonic power and frequency. The leaching of iron with conventional method at various temperatures was also performed. The results show the maximum iron leaching ratios are 87.4%, 94.5% for 80min-leaching with conventional method and 50min-leaching with ultrasound assistance, respectively. The leaching of waste-scrap with conventional method fits the chemical reaction-controlled model. The leaching with ultrasound assistance fits chemical reaction-controlled model, diffusion-controlled model for the first stage and second stage, respectively. The assistance of ultrasound can greatly improve the iron leaching ratio, accelerate the leaching rate, shorten leaching time and lower the residual iron, comparing with conventional method. The advantages of ultrasound-assisted leaching were also confirmed by the SEM-EDS analysis and elemental analysis of the raw material and leached solid samples.
本文研究了超声辅助从碳化硼废料中浸出铁的过程，并对不同影响因素进行了优化。所研究的因素包括酸浓度、液固比、浸出温度、超声功率和频率。还采用传统方法在不同温度下进行了铁的浸出。结果表明，传统方法80分钟浸出和超声辅助50分钟浸出时，铁的最大浸出率分别为87.4%和94.5%。废料用传统方法浸出符合化学反应控制模型。超声辅助浸出分别在第一阶段和第二阶段符合化学反应控制模型、扩散控制模型。与传统方法相比，超声辅助能大大提高铁的浸出率，加快浸出速度，缩短浸出时间并降低残余铁含量。超声辅助浸出的优势也通过对原料和浸出固体样品的扫描电子显微镜-能谱分析（SEM-EDS）及元素分析得到了证实。
