The implications of the froth recovery at the laboratory scale

Amelunxen, P.; Sandoval, Gerson; Barriga, David; Amelunxen, Roger

doi:10.1016/j.mineng.2014.04.022

Cited by 16 publications

(6 citation statements)

References 21 publications

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“…In the case of there being no such accumulation, Rf amounts to a mere 1.5/15, or 10%. For Rf to approach 100%, the scraping interval under these conditions should be less than 1.5 seconds, as also suggested by the data of Amelunxen et al, (2014).…”

Section: Froth Recoverymentioning

confidence: 68%

“…A common assumption in bench tests is that the froth recovery is 100%, the main reasoning behind this being the notion that because the froth is comparatively shallow and being scraped, all floating material is being recovered. Amelunxen et al, (2014), however, in a series of bench tests on a sulphide ore, showed conclusively that in a typical test, the figure is closer to 30 to 40% only. This finding can be substantiated by considering, for example, a laboratory flotation cell at a typical superficial gas velocity (Jg) of 1 cm/s and froth being scraped every 15 seconds to a depth of 1.5 cm.…”

Section: Froth Recoverymentioning

confidence: 94%

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Key aspects of bench flotation as a geometallurgical characterization tool

Ross

2019

J. S. Afr. Inst. Min. Metall.

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Bench-scale flotation tests play a major role in the geometallurgical process value chain. Despite their apparent simplicity, these tests pose pitfalls in terms of operation, as well as the interpretation and modelling of results. In this paper we highlight key aspects to consider in generating accurate and reproducible experimental results, and critically review some assumptions relating to the estimation of entrainment and froth recovery. We subsequently focus on first-order equations to model kinetics and propose a method that accounts more realistically for the decay in kinetics over the duration of a float, and the contributions of froth stability and hence mass pull. The method was applied to three case studies on platinum group metal (PGM) ores and matched or outperformed first-order, two-component models. Also, it allows for a deeper analysis of the integrity of the bench-scale flotation results.

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Section: Froth Recoverymentioning

confidence: 68%

Section: Froth Recoverymentioning

confidence: 94%

Key aspects of bench flotation as a geometallurgical characterization tool

Ross

2019

J. S. Afr. Inst. Min. Metall.

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“…Hydrophobic particles can attach to bubbles and then report to the froth. It has been discovered that the froth is also selective (Seaman et al, 2004(Seaman et al, , 2006Amelunxen et al, 2014) and the final recovery of valuable minerals is determined to a large extent by froth recovery. Welsby et al (2010) further proposed that froth recovery can also affect the valuable mineral recovery in the pulp zone owing to the particles that drop back to the pulp from the froth.…”

Section: Introductionmentioning

confidence: 99%

Influence of coal particles on froth stability and flotation performance

Liang

Peng

et al. 2015

Minerals Engineering

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“…During laboratory batch flotation tests, if the froth is removed very rapidly (Arbiter & Harris, 1962;Harris, et al, 2002;Runge, 2007;Amelunxen & Amelunxen, 2009b), froth phase effects may potentially be ignored although Amelunxen et al (2013) demonstrated that the rate of froth removal needs to be in the order of less than a second per scrape, which is not the case in many laboratory procedures. For continuous operations (pilot and plant scale) the contribution of the froth must not be ignored and has been reported and studied extensively (Cutting & Devenish, 1975;Moys, 1978;Yianatos, et al, 1988;Falutsu & Dobby, 1989;Falutsu & Dobby, 1992;Vera, et al, 1999;Ross, 1991;Contini, et al, 1988).…”

Section: Froth Phase Effectsmentioning

confidence: 99%

“…By applying equation (16) froth recovery was then estimated as a function of froth depth. This technique is robust for providing an accurate account of the froth phase performance within laboratory cells although the assumption of a 100% froth recovery has been questioned (Amelunxen, et al, 2013) as this is also impacted by the froth scraping rate. The need to change froth depth multiple times however makes industrial application very difficult by being time consuming as well as disrupting the steady state of the circuit (Alexander, 2006;Seaman, 2006).…”

Section: Direct Measurements Of Froth Recoverymentioning

confidence: 99%

The effect of mineral grain textures at particle surfaces on flotation response

Vos¹

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This research investigates the contribution of the spatial arrangement of hydrophobic mineral grains at particles surface towards their flotation response and its implications for forecasting flotation response. The approach taken was to estimate this grain textural characteristic from particle sections and to identify how it affected the overall rougher and scavenger copper mineral flotation recovery from two industrial copper flotation circuits.For the second circuit the overall rougher flotation kinetic parameters for the copper mineral were also evaluated.The first contribution of this work is the demonstration that a novel textural indicator is relevant to understanding the contribution of exposed mineral grain texture on the flotation process. It is the first mineral grain textural indicator that considers both the size of the grains and the degree to which they are dispersed at the particle surface. When the indicator was applied to particle sections from flotation feed, concentrate and tail samples from two industrial copper flotation circuits, it was shown, for the first time, with confidence that while particle size and perimeter composition affect particle flotation response the spatial arrangement of the copper mineral grains at the particle surface plays a key role.For the iron-oxide-copper-gold ore, copper mineral grains in complex texture classes produced statistically higher overall rougher recoveries for the 0-20% perimeter composition class. Chalcopyrite grains in complex texture classes in the copper porphyry ore produced higher overall rougher and scavenger recoveries for the 20-40% perimeter composition class. For the 0-20% perimeter composition class statistically meaningful differences were observed for the +106 m size class. It was shown that the higher overall recoveries for the complex texture classes in this case were due to increases in the overall rougher rate of flotation, the proportions of recoverable chalcopyrite in the feed or both. For both ores the largest proportions of copper mineral within complex perimeter texture classes were within coarse particles and complex textures were less common when particle perimeters comprised more than 40% of the copper minerals. This demonstrated that in order to study the impact of this textural characteristic for the two ores it must be done within well-defined particle size and perimeter composition classes, an important outcome that has not been reported in the current literature.The second contribution is a three-step method for evaluating the flotation response of copper minerals within different grain texture classes namely; particle perimeter texture II estimation, determining coefficients of variation in the mass proportions of the target mineral within perimeter texture-composition classes and mass reconciliation and recovery calculations. Another key contribution is in applying the bootstrap resampling technique to estimate these coefficients. This demonstrated the sensitivity of seemingly feasible perimeter texture-compos...

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The implications of the froth recovery at the laboratory scale

Cited by 16 publications

References 21 publications

Key aspects of bench flotation as a geometallurgical characterization tool

Key aspects of bench flotation as a geometallurgical characterization tool

Influence of coal particles on froth stability and flotation performance

The effect of mineral grain textures at particle surfaces on flotation response

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