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Analysis of Gas-Solid Flow Characteristics in a Spouted Fluidized Bed Dryer by Means of Computational Particle Fluid Dynamics

Hongming Zhou1,2, Haozheng Gao1, Zheng Fang2, Jiangxin Yang3, Mingge Wu1,2,3,*

1 College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China
2 Zhejiang Canaan Technology Co., Ltd., Wenzhou, 325000, China
3 School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

* Corresponding Author: Mingge Wu. Email: email

(This article belongs to the Special Issue: EFD and Heat Transfer II)

Fluid Dynamics & Materials Processing 2020, 16(4), 813-826. https://doi.org/10.32604/fdmp.2020.010150

Abstract

In order to grasp the particle flow characteristics and energy consumption of industrial fluidized spouted beds, we conduct numerical simulations on the basis of a Computational Particle Fluid Dynamics (CPFD) approach. In particular, the traction model of Wen-Yu-Ergun is used and different inlet conditions are considered. Using a low-speed fluidizing gas, the flow state of the particles is better and the amount of particles accumulated at the bottom of the bed wall becomes smaller. For the same air intake, the energy loss of a circular nozzle is larger than that of a square nozzle.

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APA Style
Zhou, H., Gao, H., Fang, Z., Yang, J., Wu, M. (2020). Analysis of gas-solid flow characteristics in a spouted fluidized bed dryer by means of computational particle fluid dynamics. Fluid Dynamics & Materials Processing, 16(4), 813-826. https://doi.org/10.32604/fdmp.2020.010150
Vancouver Style
Zhou H, Gao H, Fang Z, Yang J, Wu M. Analysis of gas-solid flow characteristics in a spouted fluidized bed dryer by means of computational particle fluid dynamics. Fluid Dyn Mater Proc. 2020;16(4):813-826 https://doi.org/10.32604/fdmp.2020.010150
IEEE Style
H. Zhou, H. Gao, Z. Fang, J. Yang, and M. Wu, “Analysis of Gas-Solid Flow Characteristics in a Spouted Fluidized Bed Dryer by Means of Computational Particle Fluid Dynamics,” Fluid Dyn. Mater. Proc., vol. 16, no. 4, pp. 813-826, 2020. https://doi.org/10.32604/fdmp.2020.010150



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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