ABSTRACT

Predicting the liberation distribution of minerals in comminuted ore particles is one of the fundamental problems in mineral processing. However, there is still no widely accepted liberation model due to the complexity of the mineral fracture mechanism. In this study, the shape constants of the cumulative beta distribution were further optimized based on the investigation of the liberation distribution and fracture mechanism of iron oxide minerals in three types of iron ores with different grain sizes by locked-cycle grinding and batch grinding to model the liberation distribution of iron oxide minerals with different grinding methods. The results showed that the liberation distribution of iron oxide minerals in the three types of iron ores with locked-cycle grinding and batch grinding was related to intergranular fracture proportion and the closeness of ore particle size and mineral grain size. By relating the shape constants of cumulative beta distribution to ore particle size, mineral grain size, and the proportion of intergranular fracture, the developed liberation model well predicted the liberation distribution of iron oxide minerals with different grinding methods and its coefficient of determination (R²) was between 0.85–0.93.

摘要

预测粉碎矿石颗粒中矿物的释放分布是选矿中的基本问题之一。然而，由于矿物破裂机制的复杂性，目前还没有广泛接受的解放模型。本研究通过锁循环磨矿和间歇磨矿对三种不同粒度铁矿石中氧化铁矿物的解离分布和破碎机理进行研究，进一步优化累积β分布的形状常数，建立模型不同磨矿方式下氧化铁矿物的游离分布。结果表明，锁循环磨矿和间歇磨矿的三类铁矿石中氧化铁矿物的游离分布与沿粒断裂比例以及矿石粒度与矿物粒度的接近程度有关。通过将累积β分布的形状常数与矿石粒度、矿物粒度和沿粒间破裂比例联系起来，建立的解放模型很好地预测了不同磨矿方式下氧化铁矿物的解放分布及其决定系数（R）²）在0.85-0.93之间。