https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Deconvolution of fractionation data to deduce consistent washability and partition curves for a mineral separator https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34577 X, set at a specific level, to produce a set of seven or more fractions of varying mass and increasing average density. This study then describes a new algorithm that attempts to recover the partition curve of the original steady-state separator, using only the three sets of limited fractionation data and the assumption that the form of the partition curve equation is known. The algorithm first uses a simple interpolation rule to convert each set of fractionation data into a cumulative density distribution. Then the feed density distribution and the partition curve parameters are simultaneously adjusted until a consistent set of feed, product and reject density distributions is found with minimum variation from the raw fractionation data. The algorithm was applied to a simple rectangular feed distribution, and then a more realistic distribution. In both cases the algorithm accurately determined the density cut point (D₅₀) of the separator, even for poor quality fractionations. The accuracy of the determined separator Ep value depended on the fractionator EpX and the amount of near-density material. For the simple rectangular distribution, the algorithm under predicted the separator Ep, with the error being about 34% of the fractionator EpX. For the more realistic feed distribution, there was more scatter in the Ep values, but still the same general trend. The error increased when there was little near-density material. Increasing the number of flow fractions from 7 to 11 brought some improvement in accuracy. However, above 11 fractions there was no further significant improvement. Expressing the partition function in terms of D₇₅ and D₂₅ (instead of D₅₀ and Ep) reduced the sensitivity of the algorithm to the initial guess values.]]> Wed 24 Jun 2020 14:58:42 AEST ]]> Multistage gravity separation of dense minerals using the REFLUX TM classifier https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45803 TM Classifier (RCTM) consists of a fluidized bed housing, with a system of parallel inclined channels above. This system performs a simultaneous gravity separation and desliming of the feed material, utilising the inclined channels in order to retain the relatively fine dense particles. These particles promote the formation of an autogenous dense medium within the fluidized bed. Relatively large, low density particles are displaced from the fluidized bed and conveyed upwards through the inclined channels reporting to the overflow with other finer particles. Given the hydrodynamic role of both the particle size and density in determining the particle transport through a water based suspension, all gravity separators operate over a limited size range. In the case of the REFLUXTM Classifier, efficient separations can be produced across a very broad size range, from nearly 10 mm down to 10 m, however, for a given application the size range is much more limited. This study was concerned with the processing of dense minerals over a broad size range, and the need for multistage processing. Here the overflow from the first stage cascades to the second stage, incorporating coarse gangue rejection. This approach is shown to deliver remarkably high grades and recovery.]]> Wed 23 Nov 2022 16:37:20 AEDT ]]> Gravity separation of ultra-fine iron ore in the reflux classifier https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20309 Wed 11 Apr 2018 14:55:07 AEST ]]> A water-based method for measuring density-based partition curves of separators used in coal and mineral processing https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20312 Wed 04 Sep 2019 10:30:58 AEST ]]> Measuring grade-recovery and partition curves of dense minerals by batch fractionation in a laboratory-scale REFLUX™ Classifier https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37606 Tue 23 May 2023 20:07:01 AEST ]]> Influence of shear rate on separation of iron ore fines using the REFLUX™ Classifier https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32562 et al (2010) demonstrated the significant improvement achieved via a new laminar-shear separation mechanism, achieved by utilising closely spaced inclined channels in the REFLUX™ Classifier. For the separation of low-density coal particles from mineral matter, a channel spacing of 6 mm proved effective; however, for the separation of gangue minerals from much higher density minerals such as iron ore, the shear-induced lift needs to be even higher. In this paper, we examine the influence of two different channel widths on the continuous processing of an industrial iron ore feed in the REFLUX™ Classifier. It was found that when moving from 6.0 mm to 3.0 mm channels, the ability of the system to reject coarser gangue material and retain finer high density material across a particle size range from 0.125 to 1.0 mm was increased, resulting in a higher grade product.]]> Thu 13 Jun 2019 13:07:07 AEST ]]> A batch elutriation technique for the density-based fractionation of iron ore https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32563 Thu 13 Jun 2019 13:07:05 AEST ]]> The role of viscosity in the density fractionation of particles in a laboratory-scale Reflux Classifier https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18897 Sat 24 Mar 2018 08:03:06 AEDT ]]> Gravity separation of ultra-fine iron ore in the REFLUX™ Classifier https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30048 T. 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.]]> Sat 24 Mar 2018 07:31:20 AEDT ]]>