Application of reflux classifier with closely spaced inclined channels in pre-concentrate process of fine antimony oxide particles  

逆流分选柱预富集细粒级氧化锑尾矿的建模与优化

作　　者：LIU Zhen-qiang LU Dong-fang WANG Yu-hua CHU Hao-ran ZHENG Xia-yu CHEN Fu-lin 刘振强;卢东方;王毓华;褚浩然;郑霞裕;陈福林(School of Minerals Processing and Bioengineering,Central South University,Changsha 410083,China;Pangang Group Research Institute Co.,Ltd,Panzhihua 617000,China)

机构地区：[1]School of Minerals Processing and Bioengineering,Central South University,Changsha 410083,China [2]Pangang Group Research Institute Co.,Ltd,Panzhihua 617000,China

出　　处：《Journal of Central South University》2020年第11期3290-3301,共12页中南大学学报（英文版）

基　　金：Project(2015SK20792)supported by Key Province Key Technology Research and Development Program of the Ministry of Science and Technology of Hunan,China;Projects(2019zzts703,2020zzts740,2020zzts202)supported by the Fundamental Research Funds for the Central Universities of China;Project(2020P4FZG03A)supported by State Key Laboratory of Vanadium and Titanium Resources Comprehensive Utilization,China。

摘　　要：In this work,the reflux classifier with closely spaced inclined channels is used as the pre-concentration facility to improve the separation efficiency before the shaking table separation.Three operating parameters of reflux classifier(RC)to pre-concentrate fine(0.023−0.15 mm)tailings of antimony oxide were optimized by response surface methodology(RSM)using a three-level Box-Behnken design(BBD).The parameters studied for the optimization were feeding speed,underflow,and ascending water speed.Second-order response functions were produced for the Sb grade and recovery rate of the concentrate.Taking advantage of the quadratic programming,when the factors of feeding,underflow and ascending water are respectively 225,30 and 133 cm^3/min,a better result can be achieved for the concentrate grade of 2.31% and recovery rate of 83.17%.At the same time,70.48% of the tailings with the grade of 0.20% were discarded out of the feeding.The results indicated that the reflux classifier has a good performance in dealing with fine tailings of antimony oxide.Moreover,second-order polynomial equations,ANOVA,and three-dimensional surface plots were developed to evaluate the effects of each parameter on Sb grade and recovery rate of the concentrate.本文采用窄斜板间距的逆流分选柱作为摇床分选前的预富集装置,旨在提高其分选效率。采用响应面法(RSM),并利用三层Box-Behnken design(BBD)对逆流分选柱(RC)预富集细粒级氧化锑尾矿(0.023~0.015 mm)的三个操作实验参数进行优化。优化研究的参数为给矿速度、底流速度、上升水流速。用二阶响应函数对精矿产物的锑品位和精矿回收率进行拟合,并利用二次规划法对实验操作参数进行优化,可得当给矿速度、底流速度、上升水流速分别为225、30和133 cm^3/min时,可得品位为2.31%,回收率为83.17%的精矿产品。同时,有70.48%的品位为0.20%的尾矿被抛除。结果表明,该逆流分选柱对氧化锑细粒尾矿的处理效果较好。此外,还建立了二阶多项式方程、方差分析和三维曲面图来评价各操作参数对锑品位和精矿回收率的影响。

关 键 词：reflux classifier antimony oxide PRE-CONCENTRATION inclined channels 

分 类 号：TD926.4[矿业工程—选矿]