2014
DOI: 10.1016/j.mineng.2014.01.015
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Implementation of a model for Falcon separation units using continuous size-density distributions

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Cited by 8 publications
(5 citation statements)
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“…It is concluded that under the optimized condition, the Falcon separator can produce clean coal with ash content of 36% from raw coal with ash content of 66%.Ozcan Oney [18] studied the beneficiation process of fine coal powder by Nelson concentrator.The effects of these variables on recovery of concentrate ash content and recovery of fuel were studied by central combination design.Quadratic regression models with estimated coefficients are developed to assess responses, and 3D plots are proposed to assess the interaction between independent variables and responses. The upgrading curve is used to evaluate the optimization results.Through the comparison of upgrade curves, it is proved that the purification effect of Nelson separator on fine coal is better, and the appropriate operation parameters will obtain a certain expected recovery rate.On the basis of the physical analysis of the separation principle of Falken centrifuge separator, Jean-Sébastien Kroll-Rabotin [19] established the prediction model of Falken centrifuge separator, using polynomial continuous function to represent the particle size and density distribution.Making the model directly usable without the need to know the numerical methods behind it, and allowing the reconstruction of missing information. The new model can reproduce the results of the discrete version without the discretization step and is more suitable for industrial applications.…”
Section: Research Status Abroadmentioning
confidence: 99%
“…It is concluded that under the optimized condition, the Falcon separator can produce clean coal with ash content of 36% from raw coal with ash content of 66%.Ozcan Oney [18] studied the beneficiation process of fine coal powder by Nelson concentrator.The effects of these variables on recovery of concentrate ash content and recovery of fuel were studied by central combination design.Quadratic regression models with estimated coefficients are developed to assess responses, and 3D plots are proposed to assess the interaction between independent variables and responses. The upgrading curve is used to evaluate the optimization results.Through the comparison of upgrade curves, it is proved that the purification effect of Nelson separator on fine coal is better, and the appropriate operation parameters will obtain a certain expected recovery rate.On the basis of the physical analysis of the separation principle of Falken centrifuge separator, Jean-Sébastien Kroll-Rabotin [19] established the prediction model of Falken centrifuge separator, using polynomial continuous function to represent the particle size and density distribution.Making the model directly usable without the need to know the numerical methods behind it, and allowing the reconstruction of missing information. The new model can reproduce the results of the discrete version without the discretization step and is more suitable for industrial applications.…”
Section: Research Status Abroadmentioning
confidence: 99%
“…It has a fluid-bed centrifuge which uses a spinning bowl design to create a force of up to 300 g's, thereby, allowing lower gravity cut points at relatively high throughput capacities. The Falcon separator is specially designed to concentrate and separate relatively fine and ultra-fine particles, usually finer than 100 µm (McAlister 1992;Laplante et al 1999;Kroll-Rabotin and Sanders 2014). It separates the minerals according to differences in specific gravity (McAlister 1992;Laplante et al 1999;Kroll-Rabotin and Sanders 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The Falcon separator is specially designed to concentrate and separate relatively fine and ultra-fine particles, usually finer than 100 µm (McAlister 1992;Laplante et al 1999;Kroll-Rabotin and Sanders 2014). It separates the minerals according to differences in specific gravity (McAlister 1992;Laplante et al 1999;Kroll-Rabotin and Sanders 2014). However, the selection of suitable operating conditions for diverse ores crucially affects their beneficiation results (Brewis 1995).…”
Section: Introductionmentioning
confidence: 99%
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