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首页> 外文期刊>Minerals Engineering >Influence of flotation cell hydrodynamics on the flotation kinetics and scale up, Part 2: Introducing turbulence parameters to improve predictions
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Influence of flotation cell hydrodynamics on the flotation kinetics and scale up, Part 2: Introducing turbulence parameters to improve predictions

机译:浮选细胞流体动力学对浮选动力学和缩放的影响,第2部分:引入湍流参数,提高预测

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The AMIRA P9 model has floatability (P) as the ore property which is considered to remain constant in different flotation cell sizes under different hydrodynamic conditions. However, in this study increasing the power input increased the P value, especially in finer particle size classes (below 75 pm). Acceptable explanations for the floatability variations, as a result of hydrodynamic condition variations in the flotation cells, have been sought by looking at the literature and the results obtained in this study were published in part one of this manuscript. To improve the accuracy of the AMIRA P9 flotation model in predicting flotation rate constant (k) and to improve the consistency of ore property, measurable and appropriate turbulence parameters were sought to be incorporated into the model. Therefore, two dimensionless turbulence parameters ae and EVF, derived from practical measurements, were formulated and introduced to the AMIRA P9 model. The modified ore floatability parameter, P", was demonstrated to be a more consistent characterisation of the ore property than P and both the accuracy and precision of the k prediction improved for a variety of hydrodynamic conditions of flotation cells. (C) 2016 Elsevier Ltd. All rights reserved.
机译:Amira P9模型具有浮动性(p)作为矿石性质,其被认为在不同的流体动力学条件下在不同浮选细胞尺寸中保持恒定。然而,在该研究中,增加功率输入增加了P值,特别是在更精细的粒度类(低于75 PM)中。由于浮选细胞中的流体动力条件变化,通过看着文献来寻求作为浮选细胞的流体动力条件变化的可接受的解释,并在本研究中发表在本发明的一部分中发表的结果。为了提高Amira P9浮选模型在预测浮选速率常数(k)中的准确性,并提高矿石性能的稠度,寻求可测量和适当的湍流参数纳入模型中。因此,配制来自实际测量的两个无量纲湍流参数AE和EVF,并引入Amira P9模型。经修饰的矿石浮动参数p“,被证明是矿石属性的比P更一致的表征,并且K预测的精度和精度改善了浮选细胞的各种流体动力学条件。(c)2016 Elsevier Ltd 。 版权所有。

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