细粒赤铁矿精矿絮凝沉降行为和动力学

    Flocculation and Settlement Behavior and Dynamic of Fine-grained Hematite Concentrate

    • 摘要: 这是一篇矿物加工工程领域的论文。本文以细粒赤铁矿精矿为研究对象,探究了絮凝剂分子量、絮凝剂配制浓度、絮凝剂用量和矿浆温度对细粒赤铁矿精矿絮凝沉降效果的影响,同时通过动力学分析探究符合细粒赤铁矿精矿的絮凝沉降动力学模型。结果表明:分子量为900万、配制浓度为0.05%和用量为60 g/t的APAM有好的沉降效果和较低的成本,添加APAM会明显改善沉降效果,高APAM分子量,会得到快的沉降速度和低的最终底流浓度;低APAM配制浓度,会得到快的沉降速度和高的最终底流浓度;APAM用量的增加使沉降速度变快、絮团粒径增大,但二者增加速度均逐渐变缓,最终底流浓度下降;随着矿浆温度的升高,沉降速度增加,但增速不太明显,最终底流浓度升高;APAM对细粒赤铁矿精矿絮凝沉降的动力学分析,双曲线动力学模型方程取得了较好的拟合度,APAM对细粒赤铁矿精矿絮凝沉降动力学可以优先使用双曲线动力学模型1/(1- \dfraccc_0 )= \dfrackt+b 来描述。

       

      Abstract: This is an article in the field of mining processing engineering. The article takes fine-grained hematite concentrate as the research object, explores the effects of the molecular weight of flocculant, the concentration of flocculant, the dosage of flocculant, and slurry temperature on the flocculation and settlement effect of fine-grained hematite concentrate. At the same time, through dynamic analysis, the flocculation and settlement dynamic model that conforms to fine-grained hematite concentrate is explored. The results show that APAM with a molecular weight of 9 million, a preparation concentration of 0.05%, and a dosage of 60 g/t has a good settling effect and lower cost. The addition of APAM significantly improves the settling effect, while high APAM molecular weight results in fast settling speed and low final underflow concentration. Low APAM concentration results in fast settling speed and high final underflow concentration. Increasing the APAM dosage results in a faster settling speed and an increase in floc particle size, but both rates of increase gradually slow down, ultimately resulting in a decrease in underflow concentration. As the temperature of the slurry increases, the settling speed increases, but the growth rate is not very significant, and the concentration of underflow increases. The dynamic analysis of flocculation and settlement of fine-grained hematite concentrate by APAM shows that the hyperbolic dynamic model equation has achieved good fitting. APAM can prioritize using the hyperbolic dynamic model 1/(1- \dfraccc_0 )= \dfrackt+b to describe the flocculation and settlement dynamic of fine-grained hematite concentrate.

       

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