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CFD-DEM Simulation of Fluidization of Polyhedral Particles in a Fluidized Bed

Author

Listed:
  • Zihan Liu

    (Institute of Process Equipment, Zhejiang University, Hangzhou 310027, China)

  • Huaqing Ma

    (Institute of Process Equipment, Zhejiang University, Hangzhou 310027, China)

  • Yongzhi Zhao

    (Institute of Process Equipment, Zhejiang University, Hangzhou 310027, China)

Abstract

Fluidization of non-spherical particles is a common process in energy industries and chemical engineering. Understanding the fluidization of non-spherical particles is important to guide relevant processes. There already have been numerous studies which investigate the behaviors of different non-spherical particles during fluidization, but the investigations of the fluidization of polyhedral particles do not receive much attention. In this study, the investigation of the fluidization of polyhedral particles described by the polyhedron approach is conducted with a numerical CFD-DEM method. Experiments of the fluidization of three kinds of polyhedral particles are conducted under the same condition with corresponding simulations to validate the accuracy of our CFD-DEM model. The results indicate that our CFD-DEM model with the polyhedron approach can predict the behaviors of polyhedral particles with reasonable accuracy. Fluidization behaviors of different polyhedral particles are also investigated in this study. Compared to spherical particles, the motion of polyhedral particles is stronger, and mixing degree is higher under the same fluidization gas velocity.

Suggested Citation

  • Zihan Liu & Huaqing Ma & Yongzhi Zhao, 2021. "CFD-DEM Simulation of Fluidization of Polyhedral Particles in a Fluidized Bed," Energies, MDPI, vol. 14(16), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4939-:d:613049
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    References listed on IDEAS

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    1. Cheng Tang & You-Chao Yang & Peng-Zhan Liu & Youn-Jea Kim, 2021. "Prediction of Abrasive and Impact Wear Due to Multi-Shaped Particles in a Centrifugal Pump via CFD-DEM Coupling Method," Energies, MDPI, vol. 14(9), pages 1-15, April.
    2. Govender, Nicolin & Wilke, Daniel N. & Kok, Schalk, 2015. "Collision detection of convex polyhedra on the NVIDIA GPU architecture for the discrete element method," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 810-829.
    3. Govender, Nicolin & Wilke, Daniel N. & Pizette, Patrick & Abriak, Nor-Edine, 2018. "A study of shape non-uniformity and poly-dispersity in hopper discharge of spherical and polyhedral particle systems using the Blaze-DEM GPU code," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 318-336.
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    Cited by:

    1. Huaqing Ma & Xiuhao Xia & Lianyong Zhou & Chao Xu & Zihan Liu & Tao Song & Guobin Zou & Yanlei Liu & Ze Huang & Xiaoling Liao & Yongzhi Zhao, 2023. "A Comparative Study of the Performance of Different Particle Models in Simulating Particle Charging and Burden Distribution in a Blast Furnace within the DEM Framework," Energies, MDPI, vol. 16(9), pages 1-21, May.

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