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Statistical analysis and concentration of iron ore using Longi LGS 500 WHIMS

机译:使用Longi LGS 500 WHIMS进行铁矿石的统计分析和浓度

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A Longi LGS 500 wet high intensity magnetic separator(WHIMS) was used to concentrate a fine, low grade South African hematite ore. The ore was prepared into different size fractions and was subjected to changes in pulp density, magnetic field intensity and pulsation frequency which followed a 33 full factorial matrix. The concentrate mass yield and Fe grade were selected as the dependent responses to the changes. The analysis of variance(ANOVA) shows that the variables investigated are significant to the material’s response to magnetic separation. This significance was in the order of magnetic field intensity followed by pulsation frequency and then pulp density. It was also noted that a single stage magnetic separation has a potential to upgrade a feed( 75 lm and 40% Fe) to a 55% Fe grade, as the pulsation frequency increases. In addition, the model predictions and actual data were in good agreement, reporting regression coefficients within acceptable ranges.
机译:使用Longi LGS 500湿法高强度磁选机(WHIMS)来精矿细粒,低品位的南非赤铁矿矿石。将矿石制成不同的粒度级分,并使其矿浆密度,磁场强度和脉动频率发生变化,然后遵循33个全析因矩阵。选择精矿质量产率和铁品位作为对变化的依赖响应。方差分析(ANOVA)表明,研究的变量对材料对磁分离的响应具有重要意义。重要性的顺序是磁场强度,然后是脉动频率,然后是纸浆密度。还应注意的是,随着脉动频率的增加,单级磁选具有将进料(75 lm和40%Fe)提升到55%Fe级的潜力。此外,模型预测与实际数据吻合良好,报告的回归系数在可接受的范围内。

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