Performance evaluation of the VSK separator for treating mineral fines

Kundu, Tonmoy; Das, Surya Kanta; Tripathy, Sunil Kumar; Angadi, Shivakumar I.

doi:10.1016/j.mineng.2021.106883

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…The movement of particles during the actual classification process is complex, and interactions between particles, such as collisions, agglomeration, and interaction forces, may cause discrepancies between the simulation and experimental results. To predict the operating parameters affecting the classification performance, and to obtain more reliable empirical formulas, some researchers have conducted a large number of material experiments [20][21][22][23][24]. For example, dolomite classification experiments showed that for the VSK air classifier, inlet air speed and rotor speed have a significant effect on the cut size, while the feed rate has no significant effect [22].…”

Section: Introductionmentioning

confidence: 99%

“…To predict the operating parameters affecting the classification performance, and to obtain more reliable empirical formulas, some researchers have conducted a large number of material experiments [20][21][22][23][24]. For example, dolomite classification experiments showed that for the VSK air classifier, inlet air speed and rotor speed have a significant effect on the cut size, while the feed rate has no significant effect [22]. Experiments on the classification of fluid catalytic cracking catalysts presented that the rotor speed and primary airflow of the new horizontal classifier had a strong influence on the cut size, while the classification accuracy was significantly affected by each operating parameter.…”

Section: Introductionmentioning

confidence: 99%

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Research and Optimization of Operating Parameters of a Rotor Classifier for Calcined Petroleum Coke

Peng,

Hui,

Zhao

et al. 2024

Processes

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This article explores the impact of operating parameters on the classification efficiency of a rotor classifier. Based on the experimental data of calcined petroleum coke classification, a single-factor experimental analysis is conducted to find the relationship between operating parameters and classification performance. The cut size becomes progressively smaller as the rotor speed and feeding speed increase, and progressively larger as the inlet air volume increases. Newton’s classification efficiency and classification accuracy decreased with the increase in feeding speed. The range analysis of the orthogonal experiment shows that the rotor speed and inlet air volume have significant effects on the classification performance, but the effect of feed speed is relatively weak. In addition, the optimal combination of operating parameters is obtained by optimizing the operating parameters. Newton’s classification efficiency under this combination is estimated, and the estimated value is 82%. The verification experiment reveals that the Newton’s classification efficiency is 83.5%, which is close to the estimated value. Meanwhile, the classification accuracy is 0.626. This study provides theoretical guidance for the industrial production of calcined petroleum coke and accumulates basic experimental data for the development of air classifiers.

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