B. K. Gorain's research while affiliated with The University of Queensland and other places

Publications (9)

Article
Full-text available
A flotation model developed at the Julius Kruttschnitt Mineral Research Centre was used to predict the performance of copper rougher and scavenger circuits at the copper concentrator at Mount Isa Mines. The model describes the kinetic response of an ore in a flotation cell in terms of ore floatability, cell characteristics and froth recovery. The f...
Article
In the operation of mechanical flotation cells, the dispersion of gas into fine bubbles may be expressed by three indicators : bubble size, gas holdup and superficial gas velocity. Taken together, these properties determine the bubble surface area flux (Sb) in the cell, which has been found to have a strong correlation with the flotation rate const...
Article
A previous investigation carried out by the authors at the Hellyer concentrator, using a 3 m3 cell fitted with four different impellers treating plant zinc cleaner feed ore, suggested a linear correlation between flotation rate constant k and bubble surface area flux Sb. The relationship between k and Sb was found to be independent of impeller type...
Article
Previous studies by the authors have shown that there is a strong correlation between the overall flotation rate constant k and the bubble surface area flux, Sb, in a flotation cell, and that this relationship is independent of impeller type. More recently it was found that results obtained from a 250 litre cell and a 3 m3 cell treating the same fe...
Article
The metallurgical performance of a 2.8m3 portable industrial scale flotation cell was measured when treating zinc cleaner feed at Hellyer concentrator in Tasmania, Australia. The cell was fitted in turn with four different impeller-stator systems and operated over a wide range of air flow rates and impeller speeds. Bubble size, gas holdup and super...
Article
Superficial gas velocity was measured at different locations in a 2.8 m3 portable industrial scale sub-aeration flotation cell, treating zinc cleaner feed at Hellyer Concentrator in Tasmania, Australia. The cell was fitted in turn with four different impeller-stator systems, and operated over a range of air flow rates and impeller speeds. Superfici...
Article
Gas holdup was measured at different locations in a 2.8 m3 portable industrial scale subaeration flotation cell, treating zinc cleaner feed at Hellyer Concentrator in Tasmania, Australia. The cell was fitted in turn with four different impeller-stator systems, and operated over a range of air flow rates and impeller speeds. The gas holdup was found...
Article
Bubble size distributions were measured at different locations in a 2.8 m3 portable industrial scale sub-aeration flotation cell, treating zinc cleaner feed in the Hellyer Concentrator in Tasmania, Australia. The cell was fitted in turn with four different impeller-stator systems, and operated over a range of air flow rates and impeller speeds. The...

Citations

... The recovery rate of flotation in the pulp is greatly affected by turbulence since it affects solid suspension, air dispersion and particle bubble collision, attachment and detachment (Fallenius, 1987; Schubert, 1999). Also flotation cell scale up needs to consider the turbulence distribution (Gorain et al., 1997a). Therefore it is very important to study turbulence characteristics in flotation cells. ...
... This baffle-like effect would increase power consumption due to the increased shear between the impeller and the stator, but the increased aeration in the area near the impeller would decrease power consumption. Experimental work performed by Gorain et al. [37,38] compared four different rotor-stator systems, focusing mainly on air dispersion, but also measuring the power consumption at different air flow rates. Their results showed that the design of a rotor-stator system can have a drastic impact on power consumption; leading to a doubling of the required power input for certain designs, where power input is used as an indication of turbulence and energy dissipation variations. ...
... Additionally, neither R f β, t f nor E t f are independent of each other, and they are strongly influenced by operation cell conditions [69]. The froth recovery R f is given by Equation (13) [54,[69][70][71]. ...
... This baffle-like effect would increase power consumption due to the increased shear between the impeller and the stator, but the increased aeration in the area near the impeller would decrease power consumption. Experimental work performed by Gorain et al. [37,38] compared four different rotor-stator systems, focusing mainly on air dispersion, but also measuring the power consumption at different air flow rates. Their results showed that the design of a rotor-stator system can have a drastic impact on power consumption; leading to a doubling of the required power input for certain designs, where power input is used as an indication of turbulence and energy dissipation variations. ...
... Since the introduction of bubble size analyzers to characterize gas dispersion in flotation, several applications have been proposed to better understand and improve the process performance. For example, the relationship between gas dispersion and flotation kinetics [1][2][3], frother characterizations [4,5], collection and froth response relationships [6][7][8], among others. Most of these characterizations have been conducted at laboratory scale, in which flotation machines are typically operated in regimes dominated by spherical bubbles. ...
... The rotor−stator mechanism of the mechanical flotation machine is advantageous for dispersing gas in the flow field; however, the size and number of bubbles were determined by the rotor− stator mechanism. 24,25 The Jameson cell intakes air via the difference in velocity between the jet and gas flows, and the dispersion of the air in the cell is related to the free jet length and jet velocity. 26,27 The flotation column is a relatively simple flotation device that produces a suitable gas dispersion through a bubble generator. ...
... Parameters such as Sauter mean bubble diameter (d 32 ) and bubble surface area flux (S b ) are also essential components of determining flotation rate constants in models predicting flotation behavior [4][5][6]. For this reason, the accurate measurement of bubble size distributions has been an essential requirement of flotation cell characterization and performance assessment. ...
... According to realization approach, flotation models can be categorized into first-principle models, soft-computing-based models, and empirical models (Lynch et al., 1981;Savassi et al., 1998;Gorain et al., 1999;Tsatouhas et al., 2006;MMcCoy and AuretcCoy and Auret, 2019;Neethling et al., 2019). Bascur (1982) proposed a phenomenological model based on the population balance method and the hydraulic model describing the water behavior of the flotation cell. ...
... Thus, the use of optical microscopy [37], differences in specific gravity [4], and Scanning Electron Microscopy-Energy Dispersive X-Ray Spectroscopy systems [38] have made it possible for size-bysurface flotation rate characterizations to be conducted (e.g., size-byliberation, −association, −exposure). At a specific size fraction, faster flotation rates are commonly obtained for more liberated hydrophobic particles, with lower performances in poorly liberated fractions or in associations with highly hydrophilic minerals [1,3,4,12,[15][16][17][18][19]30,31,33,35,37,38,43,50]. Independent of the level of fractioning, k-R ∞ pairs are the typical approach to characterize the respective particle category. ...