应用JKSimMet软件优化百花岭选厂6~#磨矿分级回路参数试验研究

发布时间：2019-06-05 13:40

【摘要】：磨矿分级在选矿生产中的重要性不言而喻。首先,磨矿分级回路的基建成本与生产运营成本均占到了70%左右。其次,磨矿分级回路需要为选别作业提供粒度适宜的产品。因此,改善磨矿分级回路的产品质量对选矿厂具有重大意义。本论文以陕西省金钼股份百花岭选矿厂6~#磨矿分级回路为例。该矿石主要有价金属为钼,以辉钼矿形式产出。脉石矿物主要为石英岩和安山玢岩。流程考察结果表明,球磨排矿-74μm产率仅为19.17%,返砂比高达451.09%,旋流器溢流中-10μm产率高达18.52%,粒度组成分布极为不理想。在测定矿石的力学性质和磨矿功指数基础上,证实了矿石具有脆性,易碎难磨易过粉碎。球径半理论公式计算结果也表明,最大球径从120mm降至80mm较为适宜。为了考查降低球径等磨矿工艺参数的效果,应用JK软件进行了模拟。分析模拟结果发现,单一的调整磨矿球径等工艺参数是无法有效实现理想的磨矿分级指标,只有同时调整各磨矿分级工艺参数才能达到。再模拟分析发现,最佳磨矿分级工艺参数为:球径为80mm、磨矿浓度为80%、钢球充填率为40%、分级浓度为60%,此时磨机排矿-74μm含量为26.21%,返砂比为297.17%,水力旋流器溢流产品-74μm产率为62.67%,其中-10μm产率为16.74%,比工业生产现场磨矿分级指标改善明显。实验室分别采用-2mm和-8mm样品进行了验证分析。结果发现当采用-2mm样品时,实验室验证磨矿数据与最优模拟结果相吻合。-8mm扩大粒度验证试验磨矿分级溢流产品-74μm高达66.26%,较流程考察溢流细度高出5.59个百分点,获得了比JKSimMet软件模拟更好的细度指标。而实验室溢流产品在提高细度的同时,还大大降低了难选粒级的含量,较流程考察数据降低了2.21个百分点。浮选结果也证实了粒度组成的改变大大改善了浮选指标。
[Abstract]:The importance of grinding classification in mineral processing is self-evident. First of all, the capital construction cost and production and operation cost of grinding classification loop account for about 70%. Secondly, grinding classification circuit needs to provide suitable particle size products for separation operations. Therefore, it is of great significance to improve the product quality of grinding classification circuit for concentrator. In this paper, the 6 # grinding classification circuit of Jinmo Stock Baihualing Concentrator in Shaanxi Province is taken as an example. The ore is mainly valuable metal Mo, which is produced in the form of molybdate. Gangue minerals are mainly quartz and andesite. The results show that the yield of-74 渭 m in ball milling is only 19.17%, the ratio of sand return is 451.09%, and the yield of-10 渭 m in cyclone overflow is 18.52%. The distribution of particle size composition is very poor. On the basis of measuring the mechanical properties and grinding work index of the ore, it is proved that the ore has brittleness and is fragile and difficult to grind and easy to crush. The calculation results of the semi-theoretical formula of the spherical diameter also show that it is more suitable to reduce the maximum spherical diameter from 120mm to 80mm. In order to investigate the effect of reducing ball diameter and other grinding process parameters, JK software was used to simulate the process parameters. The analysis and simulation results show that the ideal grinding classification index can not be effectively realized by adjusting the grinding ball diameter and other process parameters, and only by adjusting the grinding classification process parameters at the same time can it be achieved. The re-simulation analysis shows that the optimum grinding and classification process parameters are as follows: ball diameter 80 mm, grinding concentration 80%, ball filling rate 40%, classification concentration 60%. At this time, the content of 74 渭 m in mill is 26.21%, and the ratio of sand return to sand is 297.17%. The yield of-74 渭 m in the overflow product of hydrocyclone is 62.67%, in which the yield of-10 渭 m is 16.74%, which is obviously improved compared with the grinding classification index in the industrial production site. -2mm and-8mm samples were used for verification and analysis in the laboratory. The results show that when the-2mm sample is used, the laboratory verification grinding data are in good agreement with the optimal simulation results.-8mm expanded particle size verification test grinding grade overflow product-74 渭 m up to 66.26%. Compared with the process inspection, the overflow fineness is 5.59 percentage points higher, and the fineness index is better than that of JKSimMet software simulation. While the laboratory overflow product not only improves the fineness, but also greatly reduces the content of refractory grain size, which is 2.21 percentage points lower than the process inspection data. The flotation results also confirmed that the change of particle size composition greatly improved the flotation index.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD921.4

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