A comparison of the predictability of batch flotation kinetic models

Álvarez-Silva, M.; Vinnett, L.; Langlois, Raymond; Waters, Kristian E.

doi:10.1016/j.mineng.2016.08.019

Cited by 27 publications

(13 citation statements)

References 15 publications

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“…A variety of models have been developed over the years to analyse flotation kinetics, being derived from chemical reaction kinetics theory and assuming different orders of reaction, distributions of rate constants, and ultimate recovery (Alvarez-Silva et al, 2016;Ramlall and Loveday, 2015;Bu et al, 2017). Despite the substantial research on different ores and experimental conditions, currently there does not seem to be a 'one-model-fits-all' solution.…”

Section: Modelling Of Kineticsmentioning

confidence: 99%

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: Modelling Of Kineticsmentioning

confidence: 99%

Key aspects of bench flotation as a geometallurgical characterization tool

Ross

2019

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

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“…Previous microwave studies published in literature about especially minerals were examined [8][9][10][11][12][13][14][15][16][17][18][19]. Microwave dehydration behavior on different types of minerals such as goethite, boric acid, ilmenite, inderite, colemanite and ulexite was studied in the literature [8][9][10][11][12][13][14][15][16][17][18][19]. Thamsebi et al studied different microwave output power levels were used to analyze drying kinetic of coal in this experiment [8].…”

Section: Introductionmentioning

confidence: 99%

Microwave Dehydration Modelling of Tincalconite

Çoban¹,

Özkarasu²,

Şenberber³

et al. 2018

Journal of Thermal Engineering

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Boron is known element due to wide range of application areas. Microwave dehydration has more advantages than conventional dehydraion. Differ dehydraion mechanism, higher dehydraion rate and higher level of safety are some of this advantages. Furthermore, most of minerals give better result in microwave for temperature increase. Particle size, microwave power and sample mass are parameters which effect to dehydration directly. Structure of tincalconite is suitable for the investigation of dehydration behavior by microwave because of their five moles of crystal water. Tincalconite is a type of sodium borate mineral which has a white color, trigonal system and molecule formula of Na2B4O7•5H2O. Tincalconite contains 48.8% of boron oxide(B2O3) and 29.47% of structural water. In this study, dehydration behavior of tincalconite was studied with using microwave irradiation with the power level of 180 and 360 W. The kinetic parameters of reaction were determined by using the dehydration kinetic models of Lewis, Henderson and Pabis and Wang and Singh. Tincalconite and dehydrated tincalconite characterized by the techniques of X-ray diffraction (XRD) and Raman spectroscopy. According to the results obtained tincalconite was dehydrated successfully at the microwave power level of 360 W at 14 min, on the contrary at 180 W, only the 68% of the structural water was dehydrated. Among the models, which are applied only at 360 W, Wang and Singh model best fits the data with the coefficient of regression (R2) value of 0.9965.

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“…Even studies of different approaches as multi-phase second-order kinetic models [2], concluded that the best fit of the experimental data was observed in first-order kinetic models. The classic flotation model, which relates the kinetics of a chemical reaction to the flotation kinetic, is one of the most applied models [3][4][5] and still constitutes the research base of recent mineral flotation studies published in 2015 -2017 [6][7][8][9][10][11][12]. This model assumes that flotation occurs as a chemical reaction (A + B → C) where the bubble establishes a bond with a solid particle to produce the bubble-particle attachment, as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

A new mathematical model for coal flotation kinetics

Guerrero¹,

Barraza-Burgos²

2017

DYNA

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This study describes the development and formulation of a novel mathematical model for coal flotation kinetic. The flotation rate was considered as a function of chemical, operating and petrographic parameters for a global flotation order n. The equation for flotation rate was obtained by dimensional analysis using the Rayleigh method. It shows the dependency of flotation kinetic on operating parameters, such as air velocity and particle size; chemical parameters, such as reagents dosage and solids content; and mineral and maceral composition of coal. The flotation rate equation integrates the kinetic coefficient and the intrinsic characteristics of coal with dimensional consistency, and it is expressed by three dimensionless numbers which have physical chemical meaning. The model also exhibits similarities with traditional transport phenomena models represented by dimensionless numbers and predicts the flotation kinetic constant of a Colombian coal sample showing a good correlation between experimental and calculated values.Keywords: coal flotation; flotation rate; kinetic model. Un nuevo modelo matemático para la cinética de flotación de carbonesResumen Este estudio describe el desarrollo y formulación de un nuevo modelo matemático para la cinética de flotación de carbón. La velocidad de flotación se considera una función de parámetros químicos, operacionales y petrográficos para la flotación global de orden n. La ecuación de velocidad de flotación se obtuvo por análisis dimensional usando el método de Rayleigh. Este método muestra la dependencia de la cinética de flotación sobre los parámetros de operación tales como velocidad del aire y tamaño de partícula; parámetros químicos tales como dosis de reactivos y contenidos de sólidos; y composición mineral y maceral del carbón. La ecuación de velocidad de flotación integra el coeficiente cinético y las características intrínsecas del carbón con consistencia dimensional, y se expresa por tres números adimensionales que tienen significado químico físico. El modelo también muestra similitudes con los modelos tradicionales de fenómenos de transporte representados por números adimensionales y predice la constante cinética de flotación de un carbón Colombiano mostrando buena correlación entre los valores experimentales y calculados.Palabras clave: flotación de carbón; tasa de flotación; modelo cinético.

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A comparison of the predictability of batch flotation kinetic models

Cited by 27 publications

References 15 publications

Key aspects of bench flotation as a geometallurgical characterization tool

Key aspects of bench flotation as a geometallurgical characterization tool

Microwave Dehydration Modelling of Tincalconite

A new mathematical model for coal flotation kinetics

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