The feasibility of a slip velocity model for predicting the enrichment of chromite in a Floatex density separator

Kapure, Gajanan; Kari, Chandrakala; Rao, S. Mohan; Rao, N. Durga Prasada

doi:10.1016/j.minpro.2006.11.004

Cited by 21 publications

(4 citation statements)

References 4 publications

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“…From the literature listed in Table 2, it is envisaged that, variables (a) and (b) are the most critical to achieve the particle classification or separation. Out of these two, teeter water flow rate and set point are the controllable variables whereas teeter bed height as well as teeter bed density are Few researchers were attempted to understand the particle separation inside the separation chamber by means of slip velocity models and relative velocity models [57,60,61,62,69,70,72,73] but the considered models are unable to address the complex dynamics inside the separation chamber like voidage gradient, size distribution and density particle gradient in the bed and retention time distribution of particles, which need to be incorporated. Moreover, there are several statistical designed experiments were carried out by using different material and empirical models were developed to analyze the performance [58,62,71,[74][75][76].…”

Section: Floatex Density Separatormentioning

confidence: 99%

A short review on hydraulic classification and its development in mineral industry

et al. 2015

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Section: Floatex Density Separatormentioning

confidence: 99%

A short review on hydraulic classification and its development in mineral industry

et al. 2015

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“…Earlier proposed to use formula in the device is Galvin who notes that this formula can be used to assist the process design and predict the slip velocity of different size and density particles [3] . However, Gajanan et al discover that although at low teeter water rate between Galvin model's error and experiments' are less than 5%, this model couldn't predict to it at high teeter water rate [4] .The purpose of the paper is to forecast the production yield and ash as well as separation density in order to evaluate prediction performance compared with experimental results.…”

Section: Introductionmentioning

confidence: 99%

Prediction Separation Performance of Teetered Bed Separation for Coarse Coal Slime

Chen¹

2016

Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering

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Abstract. The paper focuses on separating the coarse slime for the particle size ranging from 0.3 mm to 2 mm in the teetered bed separator. The product yield and ash are researched as well as the partition ratio. The result shows that R-Z model and Das model give prediction with worse precision，Asif model and Galvin model obtain better precision. When the teeter water velocity is quite low, Asif model get better result, and while the velocity is rather high, Galvin model is a better prediction model. The models are validated through the experimental data.

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“…It is reported that the FDS gives good performance under many conditions and it is commercially being used in several plants (Nicol 1998;Venkataraman et al 2000;Kapure et al 2007;Kumar, Tripathy, and Rao 2009). It has a programmable logical controller (PLC) device using which the separator can be operated at the desired bed pressure.…”

Section: Introductionmentioning

confidence: 99%

Study of cut point density and process performance of Floatex density separator in fine coal cleaning

Sah¹,

Vidyadhar²,

Das³

2016

Particulate Science and Technology

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Advanced gravity separation of a high-ash (36%) semi-coking coal in a Floatex density separator (FDS) is investigated. The influence of the operating variables on the separation features has been identified. It is established that a higher bed pressure and a higher teeter water flow rate enhance the mass yield of the clean coal albeit with a poorer grade. A higher bed pressure reduces the bed voidage leading to a higher cut point density. Although bed voidage is reduced due to higher teeter water rate, the hydraulic transport increases significantly. A higher pulp density and a higher feed rate introduce severe hindered settling conditions leading to an increase in the cut point density. This results in a poorer product grade with a higher yield. The optimum condition for 23% product ash in a single-stage operation is identified. The yield at the optimum condition is found to be 64.3% which is close to the theoretical maximum for this coal. The dependence of the cut point density as well as Ecart probable (Ep) value on the operating variables is quantified. A specific gravity of separation of below 1.8 and an Ep value of around 0.15 is achievable under controlled operation of the FDS.

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The feasibility of a slip velocity model for predicting the enrichment of chromite in a Floatex density separator

Cited by 21 publications

References 4 publications

A short review on hydraulic classification and its development in mineral industry

A short review on hydraulic classification and its development in mineral industry

Prediction Separation Performance of Teetered Bed Separation for Coarse Coal Slime

Study of cut point density and process performance of Floatex density separator in fine coal cleaning

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