2024 |
Amosah ME, Yvon M, Zhou J, Galvin KP, 'The role of enhanced desliming and gravity separation as a precursor to flotation in the upgrading of cassiterite from tailings', Minerals Engineering, 208 (2024) [C1]
Due to the depletion of high-grade mineral deposits, there is increasing demand for the reprocessing of minerals from tailings dams. However, tailings reprocessing can present sev... [more]
Due to the depletion of high-grade mineral deposits, there is increasing demand for the reprocessing of minerals from tailings dams. However, tailings reprocessing can present several challenges due to the presence of slimes: reduced selectivity and kinetics resulting in low recovery, excessive entrainment, and high reagent consumption. This research focussed on a previously intractable problem, the processing of a low-grade cassiterite (SnO2) feed from a tailings dam. Conventional technologies have failed to achieve viable recoveries and saleable grades. Therefore, gravity separation and desliming were applied using the REFLUXTM Classifier and the REFLUXTM Graviton, targeting the tin down to ~ 10 µm, followed by flotation. The REFLUXTM Classifier experiments were performed using an inclined channel spacing of 1.8 mm at ~ 5 t/m2/h and higher. Recoveries of up to 94 % above 20 µm and 50 % below 20 µm were achieved. Importantly, the deslimed product permitted highly effective recovery of the tin by flotation, with final decanted product grades higher than 30 ± 2 wt% tin, and an overall recovery of up to 35 ± 5 %. Desliming with the REFLUXTM Graviton achieved recovery up to 80 %. The scope for further improvement in the grade and recovery is discussed.
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Nova |
2024 |
Rodrigues AFDV, Delboni Junior H, Zhou J, Galvin KP, 'Gravity separation of fine itabirite iron ore using the Reflux Classifier Part II Establishing the underpinning partition surface', Minerals Engineering, 210 (2024) [C1]
This work assessed the potential of a single stage Reflux Classifier to upgrade itabirite iron ore to high grade at satisfactory recovery. Part I reported on the detailed findings... [more]
This work assessed the potential of a single stage Reflux Classifier to upgrade itabirite iron ore to high grade at satisfactory recovery. Part I reported on the detailed findings of the experimental program and the physical transport of the particles through the system. A key purpose of the present paper was to deduce the underlying partition surface from relatively basic feed information on the Fe assays obtained as a function of the particle size. Conversion of the feed data into a simple binary description based on the density of hematite and density of silicates was used. This approach then provided a basis for applying the partition surface to a given feed to predict the separation performance. Data from the experiments were compared to values predicted from the partition surface. A least squares objective function was used to implicitly deduce the parameters governing the partition surface, notably the key exponent n and the Écarté Probable, Ep. Across 12 of the experiments, the exponent, n, governing the partition surface was found to be 0.26 ± 0.02. This result was in very good agreement with the value of 0.28 determined previously. The second key parameter, the Ep, was also determined for each of the experiments. The lowest Ep, found to be 365 kg/m3 for a low slimes viscosity, was also in good agreement with the result reported previously for a deslimed feed. This work provides confidence in the application of the partition surface to predict similar dense mineral separations, and stronger insights into the mechanisms responsible for the separation.
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Nova |
2023 |
Rodrigues AFDV, Delboni Junior H, Rodrigues OMS, Zhou J, Galvin KP, 'Gravity separation of fine itabirite iron ore using the Reflux Classifier Part I Investigation of continuous steady state separations across a wide range of parameters', Minerals Engineering, 201 (2023) [C1]
High grade iron ore resources are becoming depleted in Brazil, with relatively low-grade ores requiring more intensive concentration to achieve a premium product. Accordingly, a t... [more]
High grade iron ore resources are becoming depleted in Brazil, with relatively low-grade ores requiring more intensive concentration to achieve a premium product. Accordingly, a typical industrial itabirite concentration circuit includes desliming in hydrocyclones and concentration via reverse flotation, product thickening and filtration, with the slimes sent to tailings thickeners, and onto tailings storage facilities. This work examined the potential for applying a vastly simpler approach, a single stage of gravity separation using the Reflux Classifier. Here the classified feed, 90 % finer than 0.150 mm, is sent directly to the Reflux Classifier, leading immediately to a high-grade concentrate at high solids concentration. Part I describes the findings from a comprehensive series of experiments covering the effects of bed density set point, feed pulp density, throughput, fluidisation water rate and lamella channel spacing. The main program, based on an ore with 8 % goethite and 45 % hematite, achieved a feed upgrade from 37 % to 65.6+/-0.4 % iron and iron recovery of 72.9+/-0.4 % at 9 t/m2/h. A second feed with 1 % goethite and 57 % hematite was upgraded from 41 % to 66.3+/-0.4 % iron at an iron recovery of 84.7+/-0.5 % at 10 t/m2/h. (The grade of pure hematite is 69.9 % iron). It was essential to run the Reflux Classifier at a sufficient volumetric rate to achieve shear induced inertial lift of the coarse silica within the closely spaced inclined channels, to reject the gangue minerals from the high-grade product. The results demonstrate the technical feasibility of applying the Reflux Classifier to upgrade itabirite feeds.
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Nova |
2023 |
Rodrigues AFDV, Delboni H, Silva K, Zhou J, Galvin KP, Filippov LO, 'Transforming iron ore processing Simplifying the comminution and replacing reverse flotation with magnetic and gravity separation', Minerals Engineering, 199 108112-108112 (2023) [C1]
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Nova |
2022 |
Iveson SM, Sutherland JL, Cole MJ, Borrow DJ, Zhou J, Galvin KP, 'Full-Scale trial of the REFLUX flotation cell', Minerals Engineering, 179 (2022) [C1]
A 2 m diameter REFLUX¿ Flotation Cell was fed at roughly 210 m3/h, equivalent to a flux of 1.9 cm/s, about twice the maximum rate used in conventional flotation cells. The coal fe... [more]
A 2 m diameter REFLUX¿ Flotation Cell was fed at roughly 210 m3/h, equivalent to a flux of 1.9 cm/s, about twice the maximum rate used in conventional flotation cells. The coal feed slurry had 59¿64 wt% head ash and nominal size range -0.100 mm (Sauter mean size 0.004 mm). The air, wash water and underflow rates were 180 m3/h, 65 m3/h and 235 m3/h respectively, giving a positive downwards wash water bias flux of 0.2 cm/s. Product ashes of 11¿15 wt% were obtained at combustible recoveries of 58¿75 %, with results on or better than the tree curve. These initial results demonstrate that the beneficial hydrodynamics seen at laboratory scale are realised at full-scale. Also demonstrated is the use of a novel oil-agglomeration technique to obtain detailed performance versus size data, showing that high hydrophobic recoveries were being obtained at sizes down to 0.001 mm.
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Nova |
2020 |
Lowes C, Zhou J, McGrath T, Eksteen J, Galvin K, 'Characterisation and modelling of gravity pre-concentration amenability using LST fluidisation in a REFLUX classifier', Minerals, 10 1-20 (2020) [C1]
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Nova |
2020 |
Galvin KP, Iveson SM, Zhou J, Lowes CP, 'Influence of inclined channel spacing on dense mineral partition in a REFLUX classifier. Part 2: Water based fractionation', Minerals Engineering, 155 (2020) [C1]
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Nova |
2020 |
Galvin KP, Iveson SM, Zhou J, Lowes CP, 'Influence of inclined channel spacing on dense mineral partition in a REFLUX Classifier. Part 1: Continuous steady state', Minerals Engineering, 146 (2020) [C1]
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Nova |
2020 |
Lowes CP, Zhou J, Galvin KP, 'Improved density fractionation of minerals in the REFLUX Classifier using LST as a novel fluidising medium', Minerals Engineering, 146 (2020) [C1]
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Nova |
2020 |
Galvin KP, Zhou J, Sutherland JL, Iveson SM, 'Enhanced recovery of zircon using a REFLUX classifier with an inclined channel spacing of 3 mm', Minerals Engineering, 147 (2020) [C1]
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Nova |
2019 |
Carpenter JL, Zhou J, Iveson SM, Galvin KP, 'Gravity separation in the REFLUX Classifier in the presence of slimes', Minerals Engineering, 143 (2019) [C1]
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Nova |
2018 |
Galvin KP, Zhou J, van Netten K, 'Dense medium separation in an inverted fluidised bed system', Minerals Engineering, 126 101-104 (2018) [C1]
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Nova |
2017 |
Kiani A, Zhou J, Galvin KP, 'Detailed characterisation and separation of fly ash fed to the Inverted Reflux Classifier', FUEL PROCESSING TECHNOLOGY, 155 114-123 (2017) [C1]
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Nova |
2016 |
Galvin KP, Zhou J, Price AJ, Agrwal P, Iveson SM, 'Single-stage recovery and concentration of mineral sands using a REFLUX Classifier', Minerals Engineering, 93 32-40 (2016) [C1]
The REFLUX¿ Classifier is a gravity separation device that consists of a system of inclined channels located above a fluidized bed. Here we report for the first time the results o... [more]
The REFLUX¿ Classifier is a gravity separation device that consists of a system of inclined channels located above a fluidized bed. Here we report for the first time the results obtained processing a minerals sands feed using narrow 6 mm channels that promote a laminar-shear separation mechanism that enhances the separation based on density. The feed had a head grade of approximately 5 wt% heavy minerals of density greater than 2800 kg/m3, with the majority in the size range from 50 to 150 µm. The overall recovery of the heavy minerals component was approximately constant at 85% for solids throughputs of 10-18.5 t/(m2 h). The unrecovered heavy mineral had an average density close to that of the gangue, hence was deemed unrecoverable by gravity separation. The recovery of the denser and more liberated zirconium mineral exceeded 95%. So this work demonstrated the potential for the heavy mineral to be upgraded by a factor of 16 or more in a single stage operation.
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Nova |
2016 |
Hunter DM, Zhou J, Iveson SM, Galvin KP, 'Gravity separation of ultra-fine iron ore in the REFLUX
The REFLUX¿ Classifier is a recently developed water-based gravity separation technology that is already being used worldwide to beneficiate particles above 0.100 mm in size. This... [more]
The REFLUX¿ Classifier is a recently developed water-based gravity separation technology that is already being used worldwide to beneficiate particles above 0.100 mm in size. This paper reports tests performed on an ultra-fine iron ore with nominal top size of 0.106 mm, but with 59 wt-% being below 0.038 mm in size. The REFLUX¿ Classifier consists of a set of parallel inclined channels positioned above a vertical fluidised section. The Boycott effect generates a powerful throughput advantage and using narrow channels gives a high shear rate which generates a hydrodynamic lift force that helps to selectively re-suspend and elutriate the lower-density particles. The iron ore feed had a head grade of 35 wt-% FeT. At a low feed solids mass flux of 1.5 t m-2 h-1, the REFLUX¿ Classifier produced high-grade products at a high recovery. Overall a grade of 66.1 wt-% FeT with Fe recovery of 80 wt-% could be achieved in a single-stage separation. Within the 0.020¿0.038 mm size fraction, grades of 68.8 wt-% FeT were achieved with iron recoveries of 94.7 wt-%. Excellent recoveries of up to 57.0 wt-% were achieved even for the -0.020 mm size fraction.
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Nova |
2015 |
Kiani A, Zhou J, Galvin KP, 'Upgrading of positively buoyant particles using an Inverted Reflux Classifier', Advanced Powder Technology, 26 119-125 (2015) [C1]
This paper is concerned with the separation of cenosphere particles from fly ash. Cenospheres are hollow alumina silicate micro-shells found in fly ash. They are positively buoyan... [more]
This paper is concerned with the separation of cenosphere particles from fly ash. Cenospheres are hollow alumina silicate micro-shells found in fly ash. They are positively buoyant in water, thus allowing gravity-separation to be used to achieve separation from negatively buoyant fly ash particles. In this study an Inverted Reflux Classifier, a combination of parallel inclined channels and a vertical fluidized bed, was used for the first time to recover and concentrate cenospheres from a real fly ash feed obtained from a coal fired power station. The effects of different operating parameters such as the feed rate, product rate, and fluidization rate were investigated. The device was fed at a solids flux of about 2600 kg/(m2 h). A product grade of 76% was achieved from a feed with a grade of only 0.51%, corresponding to an upgrade of 149. Here, the recovery of the cenospheres was 42%. By increasing the overflow product rate, a significantly higher recovery of 64% was achieved, but at a reduced upgrade of 33. In both cases most of the losses were attributed to the relatively fine cenosphere particles being entrained to the underflow.
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Nova |
2015 |
Kiani A, Zhou J, Galvin KP, 'Enhanced recovery and concentration of positively buoyant cenospheres from negatively buoyant fly ash particles using the inverted reflux classifier', Minerals Engineering, 79 1-9 (2015) [C1]
Abstract The enhanced separation of valuable positively buoyant cenosphere particles from negatively buoyant fly ash particles using an Inverted Reflux Classifier (IRC) was examin... [more]
Abstract The enhanced separation of valuable positively buoyant cenosphere particles from negatively buoyant fly ash particles using an Inverted Reflux Classifier (IRC) was examined. The effect of the suspension density on the recovery and concentration was examined in the IRC by operating at different feed pulp densities ranging from 10 wt% to 46 wt%. Using a sufficiently high fly ash concentration, it was hypothesised that a powerful bulk streaming phenomenon develops (Batchelor and Van Rensburg, 1986) within the inclined channels, driving the segregation between the positively and negatively buoyant species. With the feed flow rate, fluidization rate, and flow split to overflow and underflow fixed, the recovery of the cenospheres increased from 61.7% (at 10.1% solids) through to an optimum recovery of 89.9% (at 38.1% solids), before declining rapidly to a recovery of 60.2% (at 46.4% solids). The performance at the optimum of 38.1% pulp density was remarkable, with 3.1 t/(m<sup>2</sup> h) solids throughput, a single-stage cenosphere recovery of 89.9% and upgrade of 58.6, and throughput advantage over a conventional fluidized bed of 54. Detailed analysis indicated that the inclined channels produced an underlying throughput advantage of 18, with a further factor of 3 attributed to the bulk streaming phenomenon. The separations were also assessed in terms of the partitioning of the cenospheres between the overflow and underflow exit streams, with the sharpest size classification evident at the optimum feed pulp density, with the d<inf>25</inf> = 31.5 µm, d<inf>50</inf> = 36.5 µm, and d<inf>75</inf> = 50.0 µm. The separation was then investigated using different feed flow rates, providing the basis needed for ensuring optimum performance in future pilot scale investigation of this novel technology.
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Nova |
2015 |
Kiani A, Zhou J, Galvin KP, 'A pilot scale study of cenosphere recovery and concentration using the inverted reflux classifier', Minerals Engineering, 79 17-23 (2015) [C1]
Cenospheres are hollow spherical particles formed as part of the fly ash waste of coal-fired power stations. In a previous paper Kiani et al. (2015) investigated the recovery and ... [more]
Cenospheres are hollow spherical particles formed as part of the fly ash waste of coal-fired power stations. In a previous paper Kiani et al. (2015) investigated the recovery and the concentration of these particles using an Inverted Reflux Classifier (IRC) at a laboratory scale, of cross-section 0.100 m × 0.086 m, achieving a throughput advantage over a conventional fluidized bed by a factor of 54. The present paper investigated the potential to achieve scale-up, utilizing a pilot scale device with cross-section 0.3 m × 0.3 m. The product grade and recovery were examined as a function of the solids yield by varying the product volumetric rate relative to the feed volumetric rate. The performance data were compared directly with those obtained at the smaller laboratory scale. Agreement was excellent. The performance was also examined as a function of the feed slurry flux, with good agreement again evident at the laboratory and pilot scales. Overall, the separation performance was excellent, with a cenosphere recovery of about 80% achievable at a high upgrade of 19 while a recovery of 75% was achieved at an upgrade of 38. Here the feed solids flux was 4.2 t/(m<sup>2</sup> h). It is noted that much higher upgrade was achieved at a recovery of about 80% in the former study by operating at a lower solids feed flux. This paper provides the necessary basis for proceeding with a full scale implementation of this technology.
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Nova |
2014 |
Li J, Agarwal A, Iveson SM, Kiani A, Dickinson J, Zhou J, Galvin KP, 'Recovery and concentration of buoyant cenospheres using an Inverted Reflux Classifier', Fuel Processing Technology, 123 127-139 (2014) [C1]
Cenospheres are hollow, low-density particles found in power station fly ash. They have many commercially-useful properties which make them a valuable by-product. However, recover... [more]
Cenospheres are hollow, low-density particles found in power station fly ash. They have many commercially-useful properties which make them a valuable by-product. However, recovering cenospheres from fly ash is difficult due to their low concentration and fine size. Experiments were performed to test the novel approach of using an Inverted Reflux Classifier. In this configuration, the particles are fluidised by adding wash water from above which helps to wash any entrained dense material from the overhead product. Inclined channels are mounted at the base to minimise the loss of buoyant cenospheres in the waste underflow stream. Experiments were performed at both laboratory scale (80 mm × 100 mm cross-section) and pilot scale (300 mm × 300 mm cross section) using mixtures of cenospheres and silica, all nominally less than 100 µm in size. In batch tests, the bed expansion behaviour of the positively-buoyant cenospheres in the Inverted Reflux Classifier was found to be analogous to the behaviour of negatively-buoyant particles in the standard configuration. Continuous steady-state experiments were performed using feeds with suspension solids concentration varying from 0.3 to 9.5 wt.% solids and a buoyant cenosphere grade of 0.5 to 65 wt.%, with a range of fluidisation wash water rates, and degree of volume reduction (ratio of volumetric feed to product rate). Both units delivered high recoveries and product grades. An increase in volume reduction (decreasing overflow rate for a given feed rate), caused a drop in recovery and an improvement in grade. The throughput advantage compared to a conventional teetered (fluidised) bed separator was over 30 in some cases. Both laboratory and pilot-scale units displayed similar behaviour and the results were also consistent with existing correlations for negatively-buoyant particles in the standard Reflux Classifier. Hence this technology has clear potential for recovering and concentrating cenospheres from fly ash. © 2014 Elsevier B.V.
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Nova |
2013 |
van Netten K, Zhou J, Galvin KP, Moreno-Atanasio R, 'Influence of magnetic and hydrodynamic forces on chain-aggregation and motion of magnetisable particles and composites', CHEMICAL ENGINEERING SCIENCE, 93 229-237 (2013) [C1]
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Nova |
2012 |
Galvin KP, Zhou ZQ, Dickinson JE, Ramadhani HI, 'Desliming of dense minerals in fluidized beds', Minerals Engineering, 39 9-18 (2012) [C1]
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Nova |
2010 |
Galvin KP, Callen A, Spear S, Walton K, Zhou ZQ, 'Gravity separation of coal in the reflux classifier: New mechanisms for suppressing the effects of particle size', International Journal of Coal Preparation and Utilization, 30 130-144 (2010) [C1]
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Nova |
2010 |
Galvin KP, Zhou ZQ, Walton KJ, 'Application of closely spaced inclined channels in gravity separation of fine particles', Minerals Engineering, 23 326-338 (2010) [C1]
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Nova |
2010 |
Walton KJ, Zhou ZQ, Galvin KP, 'Processing of fine particles using closely spaced inclined channels', Advanced Powder Technology, 21 386-391 (2010) [C1]
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Nova |
2009 |
Galvin KP, Walton KJ, Zhou ZQ, 'How to elutriate particles according to their density', Chemical Engineering Science, 64 2003-2010 (2009) [C1]
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Nova |
2008 |
Callen AM, Patel BK, Zhou ZQ, Galvin KP, 'Development of water-based methods for determining coal washability data', International Journal of Coal Preparation and Utilization, 28 33-50 (2008) [C1]
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Nova |
2008 |
Zhou ZQ, Van Netten K, Galvin KP, 'Magnetically driven hydrodynamic interactions of magnetic and non-magnetic particles', Chemical Engineering Science, 63 3431-3437 (2008) [C1]
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Nova |
2007 |
Laskovski D, Stevenson P, Zhou ZQ, Galvin KP, 'Distribution of lift forces on a cubic particle exhibiting sporadic movement during hydraulic conveying', Powder Technology, 179 59-64 (2007) [C1]
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2006 |
Zhou ZQ, Walton KJ, Laskovski D, Duncan PJ, Galvin KP, 'Enhanced separation of mineral sands using the Reflux Classifier', Minerals Engineering, 19 1573-1579 (2006) [C1]
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2006 |
Doroodchi E, Zhou ZQ, Fletcher DF, Galvin KP, 'Particle size classification in a fluidized bed containing parallel inclined plates', Minerals Engineering, 19 162-171 (2006) [C1]
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Nova |
2006 |
Laskovski D, Duncan PJ, Stevenson P, Zhou ZQ, Galvin KP, 'Segregation of hydraulically suspended particles in inclined channels', Chemical Engineering Science, 61 7269-7278 (2006) [C1]
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Nova |
2005 |
Galvin KP, Callen AM, Zhou ZQ, Doroodchi E, 'Performance of the reflux classifier for gravity separation at full scale', Minerals Engineering, 18 19-24 (2005) [C1]
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Nova |
2005 |
Hanwright J, Zhou ZQ, Evans GM, Galvin KP, 'Influence of surfactant on gas bubble stability', Langmuir, 21 4912-4920 (2005) [C1]
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Nova |
2005 |
Laskovski D, Zhou ZQ, Stevenson P, Galvin KP, 'Time series analysis of the sporadic motion of a single particle at the threshold of hydraulic conveying', Powder Technology, 160 54-59 (2005) [C1]
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Nova |