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作 者:张彩娥 史济泓 张铭宇 孙义成 潘程尧 陆帅帅 ZHANG Caie;SHI Jihong;ZHANG Mingyu;SUN Yicheng;PAN Chengyao;LU Shuaishuai(School of Resources and Environmental Engineering,Shandong University of Technology,Zibo 255000,China)
机构地区:[1]山东理工大学资源与环境工程学院,山东淄博255000
出 处:《金属矿山》2023年第7期242-247,共6页Metal Mine
基 金:国家自然科学基金项目(编号:52004153);山东省自然科学基金项目(编号:ZR2020QE139,ZR2020QE143)。
摘 要:针对铁矿石旋流分级过程中的密度效应问题,根据我国铁矿资源低品位特点,以石英—磁铁矿(1∶1)人工混合矿为研究对象,采用直径100 mm的水力旋流器开展物理试验,系统考察了沉砂口直径变化对分级过程中颗粒密度效应的影响规律。研究结果表明:高密度磁铁矿组分的沉砂分配率较大,其与石英组分的沉砂分配率差异在中间粒度(45μm)附近最为明显,随着沉砂口直径的增大,沉砂分配率差值减小到10%左右。增大沉砂口直径可以减弱密度效应带来的分级粒度和分级精度差异,降低不同密度组分因密度效应产生的交互影响。高密度细粒(d≤20μm)磁铁矿组分在底流错配,造成底流夹细,低密度粗粒(d>45μm)石英组分是溢流跑粗的主要来源。研究结果可为弱化分级过程中颗粒密度效应影响提供理论依据。Aiming at the problem of density effect in the process of cyclone classification of iron ore,according to the lowgrade characteristics of iron ore resources in China,quartz-magnetite(1∶1)artificial mixed ore were taken as the research object,and hydrocyclone with diameter 100 mm was used to carry out physical experiments.The influences of changes of the underflow orifice diameter on the particle density effect in the classification process were systematically investigated.The results showed that the recovery to underflow of high-density magnetite component is larger,and the difference of recovery to underflow between high-density magnetite component and quartz component is the most obvious near the middle particle size(45μm).With the increase of underflow orifice diameter,the difference of recovery to underflow decreases to about 10%.Increasing the diameter of underflow orifice can reduce the difference in cut size and classification sharpness caused by the density effect,and weaken the interaction of different density components due to the density effect.The fine particles(d≤20μm)misplaced into underflow products are mainly composed of high-density fine-grained magnetite component,while the coarse(d>20μm)particles misplaced into overflow products are mainly composed of low-density coarse-grained quartz component.The research results could provide a theoretical basis for weakening the influence of particle density effect in the classification process.
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