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Numerical Simulation of Flotation Circuit for Kakoxene Ore Processing

机译:Kakoxene矿石加工浮选电路的数值模拟

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A group of data from a batch flotation tests were plug into a batch flotation model, and mineral floatability parameters (flotation rate constant, mass fraction of floatability component) were derived from model calculation. Then a flotation circuit of kakoxene ore was designed in JKSim Float simulator, after inputting those floatability parameters to flotation circuit model, the ultimate grade and recovery of apatite was obtained by analog computation. Meanwhile, the same flotation circuit test was achieved in the laboratory. The apatite grade in concentrate is 66.61% at the recovery of 78.35% by simulation, while apatite grade in concentrate is 72.70% at the recovery of 88.14% in the laboratory tests. Compared with experiment data, the accuracy of simulation is acceptable.
机译:来自批量浮选测试的一组数据被插入批量浮选模型,矿物浮动参数(浮选速率常数,浮动性分量的质量分数)源自模型计算。然后在将那些浮动参数输入到浮选电路模型之后,在Jksim浮法模拟器中设计了氯诺矿石的浮选电路,通过模拟计算获得了最终等级和磷灰石的恢复。同时,在实验室中实现了相同的浮选电路测试。浓缩物的磷灰石等级在仿真回收率78.35%时为66.61%,而浓缩物的磷灰石等级为72.70%,在实验室试验中的回收率为88.14%。与实验数据相比,模拟的准确性是可接受的。

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