内蒙古某低品位铁矿选铁工艺试验
Experimental Study on Iron Separation Process for a Low-grade Iron Ore in Inner Mongolia
武丹 1张凛 2高春庆2
作者信息
- 1. 包钢集团矿山研究院(有限责任公司)
- 2. 中钢集团马鞍山矿山研究总院股份有限公司
- 折叠
摘要
内蒙古某低品位铁矿全铁品位为20.33%、磁性铁品位为13.05%,为开发利用该铁矿石并确定合理的选铁工艺流程,在矿石性质研究的基础上,进行了原矿高压辊磨预选—预选精矿阶段磨矿—单一磁选工艺,高压辊磨预选—预选精矿阶段磨矿—磁选淘洗联合工艺,高压辊磨预选—预选精矿阶段磨矿—磁选浮选联合工艺3种工艺方案的试验研究对比.试验结果表明:3种工艺方案均可获得铁品位65%以上的铁精矿,前2种方案的选矿指标相当,且远优于方案3,而方案2较方案1可明显放粗二段磨矿细度,因此确定采用原矿高压辊磨预选—预选精矿阶段磨矿—磁选淘洗联合工艺作为该矿选铁的最佳工艺,最终获得了铁精矿产率19.07%、全铁品位65.50%、铁回收率61.50%的选别指标.
Abstract
The total iron grade of a low-grade iron ore in Inner Mongolia is 20.33%,and the magnetic iron grade is 13.05%.In order to develop and utilize the iron ore and determine a reasonable iron separation process,based on the study of ore properties,three kinds of process schemes were studied and compared,including pre-selection of raw ore by high pressure roller mill-stage grinding of pre-selection concentrate-single magnetic separation process,pre-selection by high pressure roller mill-stage grinding of pre-selec-tion concentrate-magnetic separation and elutriation combined process,pre-selection by high pressure roll-er mill-stage grinding of pre-selection concentrate-magnetic separation and flotation combined process.The test results show that the iron concentrate with iron grade of more than 65%can be obtained by the three pro-cess schemes.The beneficiation indexes of the first two schemes are equivalent and far better than that of Scheme 3,while Scheme 2 can obviously coarsen the second-stage grinding fineness compared with Scheme 1.Therefore,the pre-selection of raw ore by high pressure roller mill-stage grinding of pre-selection concen-trate-magnetic separation and elutriation combined process was determined as the best process for iron sepa-ration of the mine.Finally,the separation indexes of iron concentrate yield of 19.07%,total iron grade of 65.50%and iron recovery of 61.50%were obtained.
关键词
铁矿/高压辊磨/预选抛尾/选矿工艺Key words
iron ore/high pressure roller mill/pre-selection tailings discarding/mineral processing technology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据