A study on the effect of particle size on coal flotation kinetics using fuzzy logic

Abkhoshk, Emad; Kor, Mohammad; Rezai, Bahram

doi:10.1016/j.eswa.2009.12.071

Cited by 46 publications

(10 citation statements)

References 30 publications

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“…However, there is considerable evidence that both flotation recovery and rate constant decline steadily as particles fall below a critical size . In general, the highest flotation rate constant and recovery of coal are seen on particles of an intermediate size range, for example, 250–74 μm; , although the flotation kinetics of ultrafine coal particles (−74 μm) is very low, this is attributed to the low collision probability between ultrafine particles and air bubbles resulting from the lack of inertia and the small kinetic energy of ultrafines . According to various particle–bubble collision models, the flotation recovery of fine/ultrafine particles increases with increasing particle size .…”

Section: Introductionmentioning

confidence: 99%

Discrimination of Six Flotation Kinetic Models Used in the Conventional Flotation and Carrier Flotation of −74 μm Coal Fines

Wang

Zhou

et al. 2020

ACS Omega

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In this study, experimental results of conventional flotation and carrier flotation were characterized by six commonly used flotation kinetic models. Two statistical criteria (coefficient of determination, R 2, and root mean square error, RMSE) were used for comparison of fitting performance of different models. All kinetic models tested gave good levels of goodness of fit, but the second-order model with rectangular distribution (model 6) provided the best fitting performance for the experimental data of conventional flotation and carrier flotation. On this basis, two parameters, that is, modified flotation rate constant (K m) and selectivity index (SI), were used to evaluate the difference in flotation separation selectivity between conventional flotation and carrier flotation. Comparisons of K m and SI values indicated that carrier flotation significantly improved the flotation rate constant of combustible materials and flotation separation selectivity of ultrafine coal (−74 μm). In addition, measurements of average bubble size and water recovery indicated that both the coalescence of bubbles and the drainage of liquid in the froth were promoted when coarse coal particles (contact angle >90°) were employed as the carrier to assist the flotation recovery of ultrafine particles, which in turn favored the inhibition effect of the entrainment of gangue materials in carrier flotation compared to conventional flotation.

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Section: Introductionmentioning

confidence: 99%

Discrimination of Six Flotation Kinetic Models Used in the Conventional Flotation and Carrier Flotation of −74 μm Coal Fines

Wang

Zhou

et al. 2020

ACS Omega

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“…Galena flotation (Li et al, 2012) Coal flotation (Abkhoshk et al, 2010) Average particle size (lm) Selection is a process of selecting the individuals that will produce the offspring. In this way, both good properties (the good genes) are transferred to the next generation of individuals, and the bad properties (the bad genes) are discarded.…”

Section: Tablementioning

confidence: 99%

“…They developed a fuzzy logic inference system where the average particle size and flotation time were treated as the input variables, while the cumulative recovery of galena was considered as the output variable. With the same input and output variables, Abkhoshk et al (2010) conducted similar tests to determine the influence of the average particle size on the coal flotation kinetics. The process simulation results -which are shown below in Fig.…”

Section: Valve Positionmentioning

confidence: 99%

Soft computing-based modeling of flotation processes – A review

Jovanović

Miljanović

Jovanović

2015

Minerals Engineering

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“…Therefore, surface properties and flotation response of coal samples are significantly varied, and it is important to understand how different factors affect and how to control coal flotation performance for a particular system (Huynh et al 2011). It is well established that conducting a model for the process would be beneficial to fully understand mechanisms of various units (Woodbum et al 1976;King 1978;Woodbum and Wallin 1984;Mathe et al 2000;Abkhoshk et al 2010). Main benefits of these models could be: the control and improvement of the flotation process.…”

Section: Introductionmentioning

confidence: 99%

“…To treat fine coal particles, the well-established technique is froth flotation. Flotation is a physicochemical separation method which is undoubtedly the most important and versatile mineral processing technique for the beneficiation of fine valuable particles (Wills 2006;Jena et al 2008;Abkhoshk et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions

Shahbazi

Chelgani

2016

Int J Coal Sci Technol

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Flotation is a complex multifaceted process that is widely used for the separation of finely ground minerals. The theory of froth flotation is complex and is not completely understood. This fact has been brought many monitoring challenges in a coal processing plant. To solve those challenges, it is important to understand the effect of different parameters on the fine particle separation, and control flotation performance for a particular system. This study is going to indicate the effect of various parameters (particle characteristics and hydrodynamic conditions) on coal flotation responses (flotation rate constant and recovery) by different modeling techniques. A comprehensive coal flotation database was prepared for the statistical and soft computing methods. Statistical factors were used for variable selections. Results were in a good agreement with recent theoretical flotation investigations. Computational models accurately can estimate flotation rate constant and coal recovery (correlation coefficient 0.85, and 0.99, respectively). According to the results, it can be concluded that the soft computing models can overcome the complexity of process and be used as an expert system to control, and optimize parameters of coal flotation process.

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A study on the effect of particle size on coal flotation kinetics using fuzzy logic

Cited by 46 publications

References 30 publications

Discrimination of Six Flotation Kinetic Models Used in the Conventional Flotation and Carrier Flotation of −74 μm Coal Fines

Discrimination of Six Flotation Kinetic Models Used in the Conventional Flotation and Carrier Flotation of −74 μm Coal Fines

Soft computing-based modeling of flotation processes – A review

Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions

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