借助线性回归方程建立了土状赤铁矿矿石选别的模拟模型。应用这些方程式能够确定具有良好统计学精度的关于一些参数(生产率、矿浆浓度以及精矿截取缝宽度)影响单段赖克特圆锥选矿机分选特性的强度。借助这些参数叙述了分选特性。这些参数是:给矿流量、矿浆浓度、粒度组成、铁在精矿及尾矿中的平均含量与相对含量。为了计算和表示微小的差异,发现所谓的原子序数比(atomic number ratio=ANR)是有效得多的判据,而不足铁含量(重量百分数)。 With the help of linear regression equation, the simulation model of the hematite ore is established. The application of these equations enables the determination of the strength of the sorting characteristics of single-section Reichert cone concentrators with good statistical accuracy with respect to some parameters (productivity, slurry concentration and concentrate cut-off width). Sorting characteristics are described with the aid of these parameters. These parameters are: to the ore flow, pulp concentration, particle size composition, the average content and relative content of iron in the concentrate and tailings. In order to calculate and represent minor differences, it was found that the so-called atomic number ratio (ANR) is a much more effective criterion than the iron content (weight percent).