A parametric cut size prediction model for a turbo air classifier

Yu, Yi; Liu, J.

doi:10.1002/mawe.201700071

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…Calcium carbonate classification experiments were performed to verify the simulation results. A new parametric prediction model of the turbo air classifier cut size was presented by Yu and Liu (2018) in [ 9 ]. The inner flow field and Lagrangian equation of particle motion, as well as the particle trajectory in the annular region, were simulated using MATLAB Software.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Knowledge-Driven AI System for Air Classification Process

et al. 2021

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Air classifier devices have a distinct advantage over other systems used to separate materials. They maximize the mill’s capacity and therefore constitute efficient methods of reducing the energy consumption of crushing and grinding operations. Since improvement in their performance is challenging, the development of an efficient modeling system is of great practical significance. The paper introduces a novel, knowledge-based classification (FLClass) system of bulk materials. A wide range of operating parameters are considered in the study: the mean mass and the Sauter mean diameter of the fed material, classifier rotor speed, working air pressure, and test conducting time. The output variables are the Sauter mean diameter and the cut size of the classification product, as well as the performance of the process. The model was successfully validated against experimental data. The maximum relative error between the measured and predicted data is lower than 9%. The presented fuzzy-logic-based approach allows an optimization study of the process to be conducted. For the considered range of input parameters, the highest performance of the classification process is equal to almost 362 g/min. To the best of our knowledge, this paper is the first one available in open literature dealing with the fuzzy logic approach in modeling the air classification process of bulk materials.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Knowledge-Driven AI System for Air Classification Process

et al. 2021

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Effect of rotor cage's outer and inner radii on the inner flow field of the turbo air classifier

Kong

Liu

2020

Materialwissenschaft Werkst

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The effects of rotor cage's outer and inner radii on flow field of the turbo air classifier are comparatively analyzed by numerical simulation using ANSYS‐FLUENT. The results of quantitative analysis show when the rotor cage's outer and inner radii are increased, the tangential velocity, radial velocity and upward axial velocity decrease in the annular region and near the entrance of the rotor cage. However, when the rotor cage's outer and inner radii are too large or too small, the tangential velocity and radial velocity will be fluctuated greatly. Moreover, the rotor cage's outer and inner radii directly influence the radial velocity distribution in the rotor cage channel. The rotor cage's outer and inner radii should not be too large or too small. Therefore, in the seven contrast rotor cage models, model 100–70 and 90–60 are selected to carry out the calcium carbonate classification experiments due to their small tangential velocity and radial velocity fluctuations and well‐distribution in the rotor cage channel. The experimental results reflect the characteristics of the numerically simulated flow field in the classifier.

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The influence of the guide vane positioning on the flow field of a turbo air classifier

Liu,

Chen,

Gong

et al. 2024

Materialwissenschaft Werkst

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As the important component to guide the airflow in the classifier, installation position of the guide vane determines the width of the classification annular region and influences the flow field distribution. The influence of the guide vane positioning on the flow field in the annular region is analyzed through numerical simulation. The simulation results show the tangential velocities near the inner edge of the guide vanes increase, and the tangential velocity gradient decreases with decrease of the width of the annular region. The increases of turbulent dissipation rate near the guide vanes are beneficial to powder dispersion. However, the increases of turbulent dissipation rate near the rotor cage aren′t conducive to uniformity of the flow field. In case of the narrow annular region, the cut size gradually increases when the width of the annular region increases. However, when the width of the annular region continues to increase, the particle′s residence time become long, and the solid concentration increases significantly to increase the probability of particle aggregation. The reasonable range of the installation diameter of the guide vane in the classifier is between 504 mm and 524 mm.

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A parametric cut size prediction model for a turbo air classifier

Cited by 6 publications

References 13 publications

Comprehensive Knowledge-Driven AI System for Air Classification Process

Comprehensive Knowledge-Driven AI System for Air Classification Process

Effect of rotor cage's outer and inner radii on the inner flow field of the turbo air classifier

The influence of the guide vane positioning on the flow field of a turbo air classifier

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