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    Impact of solids loading and mixture composition on the classification efficiency of a novel cross-flow fluidized bed classifier.

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    Impact of solids loading and mixture composition on the classification efficiency of a novel cross-flow fluidized bed classifier Article in Powder Technology 336 · May 2018 with 22 Reads

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    The separation efficiency of fluidized bed classifiers is typically 15–20% higher than in other gravitational classifiers . Each of these factors has sub-factors which contribute to the overall impact on the classifier performance, as indicated in Fig. 14. In the current work, the solids feed rate, the mixture composition and the solids

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    Abstract: In order to investigate the impact of density on the classification behavior of particles in the static classifier of Vertical Spindle Mill, the sensitivity of overflow yield to the increase of air amount for narrowly sized pyrite, carborundum, quartz and coal samples were compared in a lab-scale classifier, respectively.

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  • Impact of solids loading and mixture composition on the

    The separation efficiency of fluidized bed classifiers is typically 15–20% higher than in other gravitational classifiers . Each of these factors has sub-factors which contribute to the overall impact on the classifier performance, as indicated in Fig. 14. In the current work, the solids feed rate, the mixture composition and the solids

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