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磁化矿石颗粒模型及磁选过程分析
引用本文:周鹏,李家新,龙红明,魏汝飞.磁化矿石颗粒模型及磁选过程分析[J].安徽工业大学学报,2012(3):193-197.
作者姓名:周鹏  李家新  龙红明  魏汝飞
作者单位:安徽工业大学冶金与资源学院
摘    要:基于磁选过程中颗粒尺寸、磁场强度和磁选精矿品位三者之间的关系,建立磁化矿石颗粒模型,对其进行理论分析与计算,确定最佳磁场强度,并进行磁化矿石的磁选研究。结果表明:在配煤量4%(质量分数),焙烧温度850℃,焙烧时间60 min,磨矿细度-0.074 mm占60%(质量分数),磁场强度为40 mT的条件下,得到铁品位57.7%(质量分数),铁回收率90.3%(质量分数)的铁精矿,较好地实现了铁精矿的富集和回收。

关 键 词:磁铁矿  颗粒模型  磁选

Magnetic Ore Paricle Model and Magnetis Separation Process Analysis
ZHOU Peng,LI Jia-xin,LONG Hong-ming,WEI Ru-fei.Magnetic Ore Paricle Model and Magnetis Separation Process Analysis[J].Journal of Anhui University of Technology,2012(3):193-197.
Authors:ZHOU Peng  LI Jia-xin  LONG Hong-ming  WEI Ru-fei
Affiliation:(School of Metallurgy and Resources,Anhui University of Technology,Ma’anshan 243002,China)
Abstract:Based on relations of particles size,magnetic intensity and grade of magnetic concentrate,particle models of magnetic ore were built.Through theoretic analysis and calculation,optimum magnetic intensity was determined,and magnetic ore magnetic separation was studied.Results show in conditions of coal content 4%(mass fraction),roasting temperature 850 ℃,roasting time 60 min,-0.074 mm grinding size above 60%(mass fraction),magnetic field intensity 40 mT,iron concentrate of grade 57.7% and recovery rate 90.3% can be obtained.Enrichment and recovery of iron concentrate are achieved.
Keywords:magnetite  particle model  magnetic separation
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