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首页> 外文期刊>Minerals Engineering >The froth stability column: linking froth stability and flotation performance
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The froth stability column: linking froth stability and flotation performance

机译:泡沫稳定性列:将泡沫稳定性和浮选性能联系起来

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摘要

Froth structure and stability are known to play important roles in determining mineral flotation recovery and selectivity. However, measuring froth stability quantitatively, both at laboratory and industrial scales remains a significant challenge. A quantitative dynamic stability measure has previously been evaluated at laboratory scale. The technique is based on the Bikerman foam test and uses a non-overflowing froth column to quantify froth stability. At laboratory scale the froth stability measured in this way agreed very closely with other methods, and could be related to flotation performance. In this paper, the froth stability column is tested at Northparkes, Australia. The dynamic froth stability 2 and froth stability factor beta were measured under different operating conditions, and compared with the fraction of air overflowing the cell, a, which was measured using image analysis. The froth stability column results gave the same trends as image analysis. In particular the froth stability factor was found to be linearly related to the actual fraction of air overflowing the cell. The metallurgical results clearly indicated that changes in air rate, froth depth and frother concentration result in variation in flotation performance that can be attributed to changes in froth stability. The results showed that high froth stability conditions occur at lower air flowrates, and result in improved flotation performance. It is found that the froth stability column is an accurate and cost-effective method for quantifying froth stability, and for indicating changes in flotation performance.
机译:泡沫的结构和稳定性在确定矿物浮选的回收率和选择性方面起着重要作用。然而,在实验室和工业规模上定量测量泡沫稳定性仍然是一个巨大的挑战。先前已经在实验室规模上评估了定量动态稳定性度量。该技术基于Bikerman泡沫测试,并使用非溢出泡沫柱来量化泡沫稳定性。在实验室规模下,以这种方式测量的泡沫稳定性与其他方法非常吻合,并且可能与浮选性能有关。在本文中,泡沫稳定性塔在澳大利亚北帕克斯进行了测试。在不同的操作条件下测量动态泡沫稳定性2和泡沫稳定性因子β,并将其与溢流电池的空气分数a进行比较,后者使用图像分析进行测量。泡沫稳定性柱的结果与图像分析的趋势相同。特别地,发现泡沫稳定性因子与溢出电池的空气的实际比例线性相关。冶金结果清楚地表明,空气速率,泡沫深度和泡沫浓度的变化会导致浮选性能的变化,这可归因于泡沫稳定性的变化。结果表明,较高的泡沫稳定性条件发生在较低的空气流量下,从而提高了浮选性能。发现泡沫稳定性塔是定量泡沫稳定性并指示浮选性能变化的准确且成本有效的方法。

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