Study on classifying particle size and spatial internal flow field of T-shaped tooth structure in a disturbing rotary centrifugal air classifier

Huang, Long1,2; Liu, Runyu1,2; Huang, Fayuan4; Yuan, Jiale1,2; Wen, Deyang1,2; Liu, Qingxia2,3; Zhao, Yuemin1,2; Jiang, Haishen1,2; Kuang, Shibo4

2023-11-01

10.1016/j.apt.2023.104230

ADVANCED POWDER TECHNOLOGY   Impact Factor & Quartile

0921-8831

1568-5527

In the present study, three perturbed rotor structures were designed to investigate the performance of a new perturbed rotary centrifugal airflow classifier through experiments and numerical simulations. A model for the maximum and minimum classification particle size was established on the basis of the mechanical analysis of the blade. Pressure distribution and flow patterns at different positions in the Z-X and Z-Y planes of three structures under different rotational frequencies were analyzed, as well as the classification performance. The results show that in the rotor with different tooth structures operating at a critical rotational frequency, the internal flow field have abnormal pressure distribution, where the smaller density and velocity of the gas-solid phase reduce particle motion velocity, centrifugal force, and collision opportunities, forming particle sidewalls near the screen surface, thereby deteriorating the classification effect. The classification performance of the three structures under different operating parameters shows that when the rotation frequency exceeds 24 Hz, feed rate is 0.3 kg/s, and classifier inclination angle is-4 degrees, the highest macroscopic and microscopic classification efficiency of the single-row tooth structure is 94.21% and 94.23%, respectively. The study can provide a reference to improve the flow field and classification performance of air classifiers in industrial applications.(c) 2023 Published by Elsevier B.V. on behalf of The Society of Powder Technology Japan. All rights reserved.

Air classification Disturbing rotary centrifugal air classifier Gas-solid flow Classifying particle size Spatial internal flow field

SCI

English

Others

Graduate Innovation Program of China University of Mining and Technology, China[2023WLKXJ066] ; Fundamental Research Funds for the Central Universities, China[2023XSCX021] ; Postgraduate Research & Practice Innovation Program of Jiangsu Province[KYCX23_2816] ; National Natural Science Foundation of China[52125403] ; Natural Science Foundation of Jiangsu Province[BK20220160] ; Young Elite Scientists Sponsorship Program by CAST[2021QNRC001] ; Key Science and Technology Projects in Inner Mongolia Autonomous Region[2021EEDSCXSFQZD007]

Engineering

Engineering, Chemical

WOS:001082838500001

ELSEVIER

CHEMISTRY

Web of Science

1.China Univ Min & Technol, Key Lab Coal Proc & Efficient Utilizat, Minist Educ, Xuzhou 221116, Peoples R China
2.China Univ Min & Technol, Sch Chem Engn & Technol, Xuzhou 221116, Peoples R China
3.Southern Univ Sci & Technol, Sch Innovat & Entrepreneurship, Shenzhen, Peoples R China
4.Monash Univ, Dept Chem & Biol Engn, ARC Res Hub Computat Particle Technol, Clayton, Vic 3800, Australia

Huang, Long,Liu, Runyu,Huang, Fayuan,et al. Study on classifying particle size and spatial internal flow field of T-shaped tooth structure in a disturbing rotary centrifugal air classifier[J]. ADVANCED POWDER TECHNOLOGY,2023,34(11).

Huang, Long.,Liu, Runyu.,Huang, Fayuan.,Yuan, Jiale.,Wen, Deyang.,...&Kuang, Shibo.(2023).Study on classifying particle size and spatial internal flow field of T-shaped tooth structure in a disturbing rotary centrifugal air classifier.ADVANCED POWDER TECHNOLOGY,34(11).

Huang, Long,et al."Study on classifying particle size and spatial internal flow field of T-shaped tooth structure in a disturbing rotary centrifugal air classifier".ADVANCED POWDER TECHNOLOGY 34.11(2023).