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采用化学分析、扫描电子显微镜(SEM)和工艺矿物学参数自动测试系统(BPMA),考察了鲕状赤铁矿原料粒度对深度还原效果及铁颗粒粒度分布、微观形貌等特征的影响.结果表明:降低原料粒度有利于金属化率和选别指标的提高,且提高的速率随原料粒度的减小逐渐增大;原料粒度越小,还原产物中铁颗粒粒度越大;在铁颗粒粒度频率分布方面,小粒径铁颗粒占主体,并随着粒径的增大,铁颗粒的粒度频率快速降低;还原产物中铁颗粒的形状主要以类球状、块状、棒状和链状分布,并随着原料粒度的增大,还原产物中铁颗粒的形貌愈加复杂.降低原料粒度有利于鲕状赤铁矿深度还原效果的提高和铁颗粒的生长.
Chemical analysis, scanning electron microscopy (SEM) and automated process mineralogy parameter testing (BPMA) system were used to investigate the effect of the size reduction of the oolitic hematite on the depth reduction, the particle size distribution and the morphology of the iron particles. The results show that: reducing the size of the raw materials is conducive to the metalization rate and sorting index increased, and the increase rate increases with the decrease of the particle size of raw materials; the smaller the particle size of the raw material, the larger the particle size of iron particles in the reduced product; As for the size of iron particles, the size of iron particles rapidly decreases with the increase of particle size. The shape of iron particles in the reduction products mainly distributes in the shape of spheroid, massive, rod and chain, Increasing the particle size of the raw material, the morphology of the iron particles in the reduced product is more complicated, and reducing the particle size of the raw material is favorable for the enhancement of the depth reduction effect of the oolitic hematite and the growth of the iron particles.