高硅氧化铜矿还原熔炼渣黏度研究及Iida模型应用

Research on Viscosity of Reductive Smelting Slag of High Silicon Copper Oxide Ore and Application of Iida Model

针对刚果(金)某高硅、低铁氧化铜矿还原熔炼过程渣铜分离困难、铜收得率低等问题,研究了配加不同CaO和FeO含量对还原熔炼渣黏度的影响规律,并在此基础上优化了Iida黏度预测模型,为实现CaO-SiO_(2)-MgO-Al_(2)O_(3)-FeO渣系黏度的精准控制提供支撑。结果表明,该熔炼渣黏度随CaO和FeO含量的增加而逐渐下降。调控终渣碱度大于0.5、FeO含量大于3%,可有效改善熔炼渣黏度。利用优化后的Iida黏度预报模型可在较大成分与温度范围内进行本体系熔渣黏度的预测,预报相对误差在10%以内。

To address the difficulty of slag-copper separation and low copper recovery of an oxide copper ore with high-silicon and low-iron in DR Congo,effects of CaO and FeO addition on viscosity of reduction smelting slag were investigated.The Iida viscosity prediction model was optimized based on the research result to support accurate control of viscosity of CaO-SiO_(2)-MgO-Al_(2)O_(3)-FeO slag system.The results show that the melting slag viscosity drops gradually with increasing of content of CaO and FeO.The viscosity of slag can be effectively improved by regulating the basicity of final slag of 0.5 above and FeO content of 3%above.The modified Iida model can properly predict the viscosity of this slag system over a wide range of temperature and composition,and the relative error of forecast is within 10%.