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作 者:唐波[1] 许妍霞[1] 宋兴福[1] 孙泽[1] 于建国[1]
机构地区:[1]华东理工大学国家盐湖资源综合利用工程技术研究中心,上海200237
出 处:《华东理工大学学报(自然科学版)》2016年第4期454-459,共6页Journal of East China University of Science and Technology
摘 要:针对酸解尾渣旋流分级过程中分离精度较低的问题,采用数值模拟和实验验证的方式对工艺进行优化。模拟研究表明:当进口速度为1.78 m/s时,高钛品位的粗颗粒的回收效率是91.1%,TiO2回收率偏低;当进口速度为2.78m/s时,杂质细颗粒的分离效率是62.9%,显著降低。为保证高分离精度,进口速度需控制在2.28m/s。进一步研究表明,当进口速度为2.28m/s时,分级后溢流产物的体积平均粒径(D[4,3])为9.2μm,底流产物的体积平均粒径可达43.6μm,有90.3%的杂质细颗粒得到脱除,二氧化钛回收率可达59.3%。In order to improve the sharpness of classification of acid hydrolysis waste residues of titanium dioxide,the process optimization was made by numerical simulation and experimental investigation.Simulated results indicated that when inlet velocity was 1.78m/s,the efficiency of the coarse particles by spigot was 91.1%,which reduced the recovery rate of TiO2.On the other hand,when inlet velocity was 2.78m/s,the efficiency of the fine particles by vortex finder was 62.9%,which reduced the separation rate of impurities significantly.As a result,for achieving high sharpness,inlet velocity should be2.28m/s.The further results of experiments validated that when inlet velocity was 2.28m/s,D[4,3]of overflow and underflow products were 9.2μm and 43.6μm,respectively.Meanwhile,90.3% of the fine particles of impurities were removed,and the recovery rate of TiO2 was 59.3%.
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