Modeling of flotation process – an overview of different approaches

Gharai, Mousumi; Venugopal, R.

doi:10.1080/08827508.2015.1115991

Cited by 45 publications

(32 citation statements)

References 69 publications

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“…They also found that increasing the concentration of Z200, had not changed the copper recovery significantly, however iron recovery was decreased. In addition, it is shown that galvanic A c c e p t e d M a n u s c r i p t 15 classical first-order flotation model is the most widely used [44]. The model fits very well to the experimental data of copper and iron recoveries.…”

Section: Evaluation Of the Flotation Processmentioning

confidence: 89%

A study on selective flotation in low and high pyritic copper sulphide ores

Hassanzadeh

Hasanzadeh

2016

Separation Science and Technology

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The effect of chemical reagent configurations was investigated on two different copper sulfide ore types including high and low pyritic feeds. Three different combination of collectors as isopropyl-n-ethyl thionocarbamate (C-4132), mixture of mercaptobenzothiazole and butyl sodium dithiphosphate (Flomin 7240) and sodium isopropyl xanthate (Z11) were used in flotation experiments. Solely using C-4132 was selected as the best pattern for both feed types with regard to achieving the highest copper grade and the lowest iron recovery. However the selectivity index results showed that the combination of Z11+F7240 provides the highest selectivity of chalcopyrite against pyrite in either low or high pyritic ores.

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Section: Evaluation Of the Flotation Processmentioning

confidence: 89%

A study on selective flotation in low and high pyritic copper sulphide ores

Hassanzadeh

Hasanzadeh

2016

Separation Science and Technology

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“…In this section, only the applicability of those models in to the scale-up process of flotation is discussed. A thorough review of kinetic models can be found in Gharai & Venugopal (2015). These models are defined on the basis of a simplification, by considering flotation as a kinetic rate process, analogue to chemical reactions.…”

Section: Kinetic Scale-upmentioning

confidence: 99%

Scale-up in froth flotation: A state-of-the-art review

Mesa

Brito-Parada

2019

Separation and Purification Technology

109

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Froth flotation has been one of the most important and widely used methods to concentrate minerals since its introduction over a hundred years ago. Over the last few decades, in order to process more mineral while reducing capital costs, flotation equipment has become exponentially larger. The increase in tank volume, however, has brought new challenges in the operation and design of industrial flotation tanks. This review analyses the literature on flotation tank scale-up for the first time, contrasting several techniques and approaches used in both historical and state-ofthe-art research. The study of flotation scale-up is crucial for the optimisation of industrial plant performance and the maximisation of laboratory-scale research impact. While important advances in our understanding of flotation have been achieved, large flotation tank design and scale-up has, to a large extent, remained in-house know-how of manufacturing companies. This review of the literature relevant to flotation tank scale-up has resulted in a new classification, dividing the scale-up literature into two main areas of study, namely "Kinetic scale-up" and "Machine design scale-up".This review indicates that current scale-up rules governing the design of flotation tanks focus mainly on pulp zone kinetic parameters and neglect the effects on the froth zone, despite the importance of froth stability and mobility in determining flotation performance. Froth stability and mobility are closely linked to the distance the froth needs to travel, which increases with tank diameter. Although including internal elements, such as launders and crowders, has been the industrial solution for enhancing froth transport and recovery in larger tanks, the design and scale-up of these elements have not been thoroughly studied. Gaps in our knowledge of flotation are discussed in the context of addressing the scale-up problem, considering froth transport and froth stability. Addressing these gaps will pave the way for the design and operation of large flotation tanks of enhanced performance.

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“…This knowledge gap further increases the difficulty to optimize the flotation system. Moreover, the currently available flotation models failed to improve the efficiency of oil removal in the presence of SP [20][21][22] since it was tested in the conditions without SP chemicals.…”

Section: ■ Introductionmentioning

confidence: 99%

Statistical Modelling of Oil Removal from Surfactant/Polymer Flooding Produced Water by Using Flotation Column

Hani

Ayoub

2020

Indones. J. Chem.

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The objective of this study was to investigate the effect of polymer and surfactant (MFOMAX) towards the efficiency of oil removal in a flotation column by using the Response Surface Methodology (RSM). Various concentrations of surfactant (250, 372 and 500 ppm) and polymer (450, 670, and 900 ppm) produced water were prepared. Dulang crude oil was used in the experiments. Flotation operating parameters such as gas flow rate (1-3 L/min) and duration of flotation (2-10 min) were also investigated. The efficiency of oil removal was calculated based on the difference between the initial concentration of oil and the final concentration of oil after the flotation process. From the ANOVA analysis, it was found that the gas flow rate, surfactant concentration, and polymer concentration contributed significantly to the efficiency of oil removal. Extra experiments were conducted to verify the developed equation at a randomly selected point using 450 ppm of polymer concentration, 250 ppm of surfactant concentration, 3 L/min gas flowrate and duration of 10 min. From these extra experiments, a low standard deviation of 1.96 was discovered. From this value, it indicates that the equation can be used to predict the efficiency of oil removal in the presence of surfactant and polymer (SP) by using a laboratory flotation column.

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Modeling of flotation process – an overview of different approaches

Cited by 45 publications

References 69 publications

A study on selective flotation in low and high pyritic copper sulphide ores

A study on selective flotation in low and high pyritic copper sulphide ores

Scale-up in froth flotation: A state-of-the-art review

Statistical Modelling of Oil Removal from Surfactant/Polymer Flooding Produced Water by Using Flotation Column

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