Minimum fluidization velocity prediction of Geldart A dense medium in gas-solid separation fluidized bed--颗粒学报PARTICUOLOGY

a Key Laboratory of Coal Processing and Efficient Utilization (China University of Mining & Technology), Ministry of Education, Xuzhou, 221116, China
b School of Chemical Engineering & Technology, China University of Mining & Technology, Xuzhou, 221116, China
c International Joint Laboratory of Minerals Efficient Processing and Utilization, Ministry of Education, Xuzhou, 221116, China
d School of chemical engineering, Sichuan University, Chengdu, 610044, China

10.1016/j.partic.2025.03.002

Volume 100, May 2025, Pages 27-35

Received 16 December 2024, Revised 3 March 2025, Accepted 4 March 2025, Available online 14 March 2025, Version of Record 20 March 2025.

E-mail: clduan@cumt.edu.cn; zhoucy@cumt.edu.cn

Highlights

• A modified model for predicting minimum fluidization velocity of Geldart A particle is proposed.

• The prediction model has high accuracy with an overall error of less than 0.2 cm/s.

• A theoretical guide for optimization and design of coal separation processes is provided by the model.

Abstract

The minimum fluidization velocity is a pivotal parameter in the study of fluidization behavior within air dense medium fluidized beds, significantly affecting the design and operational efficiency of these systems. This research explores the fluidization characteristics of Geldart A magnetite particles and Geldart B magnetite powder particles through experimental investigations. The results show that the minimum fluidization velocity of Geldart A and Geldart B particles differs due to both particle size and density. Operating conditions, such as gas distribution uniformity and flow rate fluctuations, also have a significant impact. These findings offer valuable guidance for improving the design and operation of fluidized bed reactors. To accurately estimate the minimum fluidization velocity of Geldart A magnetite powder particles, this study extends classical equations and introduces new correlation coefficients. A summarized and analytical comparison of literature data and experimental results data demonstrate that the proposed correlation coefficients are both accurate and reliable within the defined range, with a prediction error of less than 0.2 cm/s when validated against literature and experimental data. This study furnishes experimental evidence and theoretical insights into the fluidization behavior of diverse particle types, thereby facilitating the optimization of fluidized bed design.

Graphical abstract

Keywords

Minimum fluidization velocity; Modified minimum fluidization velocity model; Fluidization behavior; Correlation coefficients; Prediction

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