Volume 71
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Gao, Z., Duan, C., Zhao, Y., & Mao, P. (2022). Apparent viscosity of mixed particle system in pulsed gas–solid separation fluidized bed. Particuology, 71, 41-46. https://doi.org/10.1016/j.partic.2022.01.014
Apparent viscosity of mixed particle system in pulsed gas–solid separation fluidized bed
Zhonglin Gao, Chenlong Duan *, Yuemin Zhao, Pengfei Mao
Key Laboratory of Coal Processing and Efficient Utilization of Ministry of Education, School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China
10.1016/j.partic.2022.01.014
Volume 71, December 2022, Pages 41-46
Received 10 December 2021, Revised 7 January 2022, Accepted 24 January 2022, Available online 1 February 2022, Version of Record 23 February 2022.
E-mail: clduan@cumt.edu.cn

Highlights

• Apparent viscosity prediction model was established.

• Mechanism of fine particle separation enhanced by pulsed fluidized bed was revealed.

• Introduction of fine particles greatly improves the fluidization quality.


Abstract

The apparent viscosity reflects the resistance of the fluidized medium in the bed to the beneficiation particles, which directly affects the separation time and mismatch content. So, the falling-ball method was used to measure the apparent viscosity of a binary medium in a pulsed fluidized bed by varying the gas velocity, pulsation frequency, and fine particle content. The results show that with increasing gas velocity and fine particle content, the apparent viscosity of the bed gradually decreased, whereas it first decreased and then increased with pulsation frequency increasing and achieved a minimum value in the range of 4–6 Hz. Within limits, the adjustment of gas velocity and fine content can effectively reduce the apparent viscosity and improve the separation process. A model for predicting the apparent viscosity in a pulsation separation fluidized bed was established with good accuracy.

Graphical abstract
Keywords
Pulsed fluidized bed; Mixed medium; Apparent viscosity; Drag coefficient