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Coal flotation optimization using modified flotation parameters and combustible recovery in a Jameson cell

机译:使用改进的浮选参数和Jameson池中的可燃物回收进行煤浮选优化

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This study discusses a new coal flotation optimization approach. It is conducted using modified flotation parameters and combustible recovery. The experimental work was evaluated in two stages. In the first stage, recoveries (1, 2, 3, 5 and 8 min of flotation times) of Jameson flotation operating parameters were fitted to first-order kinetic model, R = R_∞ [1 - exp (-kt)] where R was recovery at t time, R_∞ was ultimate recovery and k was the first-order rate constant to draw the time recovery curves in the experimental study. Two parameters, the ultimate recovery (R_∞) and first-order rate constant (k), were then obtained from the model to fit an experimental time recovery curve. A modified flotation rate constant (K_m) defined as product of R_∞ and k, i.e., K_m = R_∞* k, and selectivity index (SJ) defined as the ratio of the modified rate constant of coal to the modified rate constant of ash (SI)=K_m of Coal/K_m of Ash), which could be collectively called "modified flotation parameters". It was used to determine of the sub and upper values of operation variables. In the second one, combustible recovery (%) and ash content (%) were used to optimization of the Jameson flotation variables and it was found that d_(80) = 0.250 mm particle size, 1/1 vegetable oil acids/kerosene ratio, 20% solids pulp density, 0.600 L/min wash water rate and 40 cm downcomer immersion dept could be used to separate efficiently coal from ash. Final concentrate was obtained with 94.83% combustible recovery and 17.86% ash content at optimum conditions after 8 min flotation time.
机译:这项研究讨论了一种新型的煤浮选优化方法。它使用改进的浮选参数和可燃物回收进行。实验工作分为两个阶段进行评估。在第一阶段,将詹姆逊浮选操作参数的回收率(浮选时间的1、2、3、5和8分钟)拟合至一阶动力学模型,R =R_∞[1- exp(-kt)],其中R在实验研究中,t是时间t的恢复,R_∞是最终恢复,k是绘制时间恢复曲线的一阶速率常数。然后从模型中获得了两个参数,即最终恢复率(R_∞)和一阶速率常数(k),以拟合实验时间恢复曲线。定义为R_∞和k乘积的修正浮选速率常数(K_m),即K_m =R_∞* k,选择指数(SJ)定义为煤修正率与灰分修正率之比(SI)=煤的K_m /灰分的K_m),其可以统称为“改进的浮选参数”。它用于确定操作变量的子值和上限值。在第二个实验中,使用可燃回收率(%)和灰分(%)来优化Jameson浮选变量,发现d_(80)= 0.250 mm粒度,1/1植物油酸/煤油比,可以使用20%的固体纸浆密度,0.600 L / min的洗涤水速率和40 cm的下导管浸入深度来有效地将煤与灰分分离。浮选8分钟后,在最佳条件下,最终精矿的可燃回收率为94.83%,灰分为17.86%。

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