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Optimization of Flotation Process of Zinc Oxide Ore by Response Surface Methodology

机译:响应面法测定氧化锌矿浮选过程的优化

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According to the test results, the flotation process parameters of refractory zinc oxide ore will be optimized by the response surface methodology in this paper. The regression model between Zn recovery and sodium sulfide concentration, depressant(F1) concentration and sodium carbonate concentration was established. It can be known that the model is highly significant and test error is very small, and the concentration of sodium sulfide has great influence to the recovery of Zn concentrate. The verification tests results show that the model is reliable and can predict accurately the zinc recovery. It can be concluded that the optimizing process parameters are sodium sulfide 7500g/t, depressant concentration 1050g/t, and sodium carbonate concentration 2200g/t, which can provide the technical basis for the comprehensive utilization of low grade refractory zinc oxide ore.
机译:根据测试结果,难熔氧化锌矿浮选过程参数将通过本文的响应面方法进行优化。建立了Zn回收率和硫化钠浓度,抑制剂(F1)浓度和碳酸钠浓度之间的回归模型。可以知道该模型非常显着,测试误差非常小,硫化钠的浓度对Zn浓缩物的回收产生了很大的影响。验证测试结果表明,该模型可靠,可以准确地预测锌恢复。可以得出结论,优化工艺参数是硫化钠7500g / t,抑制剂浓度1050g / t,碳酸钠浓度2200g / t,可以为低级耐火氧化锌矿综合使用提供技术基础。

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