重浮联合工艺回收铅锌尾矿中重晶石的选矿试验研究

    Experimental study on recovering barite from lead-zinc tailings by gravity-flotation combined process

    • 摘要: 广西盘龙铅锌矿中主要矿物包括方铅矿、闪锌矿、黄铁矿、重晶石和白云石等,其中重晶石资源长期以来未被回收利用,造成资源浪费。浮选法回收重晶石成本高且回水易干扰铅锌主金属回收,而以摇床为主的重浮联合工艺则存在设备占地大、工业化实施困难等瓶颈。为解决上述问题,本研究针对铅锌浮选尾矿中重晶石的回收,开发了一种以重选为核心的“粗细分选-逆流分选柱预选抛尾-浮选脱硫-摇床精选”新工艺。该工艺首先将铅锌浮选尾矿分级,并分别采用逆流分选柱对粗粒级、细粒级进行预选抛尾,有效脱除以白云石为主的含钙脉石矿物,获得以重晶石和黄铁矿为主的预选粗精矿;进而以草酸为活化剂、丁基黄药为捕收剂,对预选粗精矿进行浮选脱硫,高效去除与重晶石密度相近的黄铁矿;脱硫后精矿最终经摇床精选进一步除杂,获得高品位重晶石精矿。试验结果表明,该工艺可获得BaSO4品位92.61%、回收率42.47%的重晶石精矿,实现了重晶石资源的高效综合回收。本研究引入的逆流分选柱预选抛尾技术,显著提高了重晶石回收效率,缩短了分选流程,为尾矿中重晶石资源的回收提供了新途径。

       

      Abstract: The Panlong Lead-zinc Mine in Guangxi contains major minerals such as galena, sphalerite, pyrite, barite, and dolomite. Among these, barite resources have been consistently underutilized, leading to significant wastage of resources. Conventional barite flotation is expensive and its return water complicates lead-zinc recovery, while shaking table-based gravity-flotation combined processes suffer from large space requirements and challenges in industrial scaling. To address these challenges, this study develops a novel process focused on gravity separation for recovering barite from lead-zinc flotation tailings, consisting of “coarse and fine fractions classification - pre-discarding by reflux classifier - flotation desulfurization - shaking table cleaning”. The process begins with classifying the tailings, followed by pre-concentration using a reflux classifier (RC) for both coarse and fine fractions, effectively removing calcium-bearing gangue minerals such as dolomite and producing a pre-concentrate rich in barite and pyrite. Flotation desulfurization is then carried out using oxalic acid as an activator and butyl xanthate as a collector, efficiently removing pyrite whose density is close to that of barite. The desulfurized concentrate is further purified by shaking table cleaning to obtain a high-grade barite concentrate. Experimental results show that this process achieves a barite concentrate with a BaSO4 grade of 92.61% and a BaSO4 recovery of 42.47%, enabling efficient comprehensive recovery of barite resources. The introduction of pre-discarding technology using the reflux classifier (RC) significantly improves recovery efficiency and shortens the separation process, offering a new approach for recovering barite from tailings.

       

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