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Numerical Simulation of Gas-Solid Two-Phase Heat Transfer in a Kaolin Cyclone Cooling System

Author

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  • Shuai Xu

    (School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Junlin Xie

    (School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Shuxia Mei

    (School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Feng He

    (School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Runguo Li

    (CBMI Construction Co., Ltd., Beijing 100176, China)

  • Yuhua Deng

    (CBMI Construction Co., Ltd., Beijing 100176, China)

  • Chao Zhang

    (CBMI Construction Co., Ltd., Beijing 100176, China)

  • Xianming Zheng

    (CBMI Construction Co., Ltd., Beijing 100176, China)

Abstract

The kaolin suspension calcination technology is currently gaining attention as a new process of calcining kaolin. In this paper, the cooling system of the kaolin suspension calcination process designed by CBMI Construction Co., Ltd. is simulated using ANSYS Fluent software to analyze the velocity field and temperature field of the gas–solid two-phase flow using the Eulerian model. A compiled UDF (User-Defined Function) is used to simulate the transfer of mass and heat from the downcomer tube to the different elements. The gas, coming from the gas outlet of the cyclone, enters the next level twin-cylinder cyclone in a spiral state. The results show that the airflow in the cyclone consists of an external spiral flow from the top to the bottom and an internal spiral flow from the bottom to the top. During the downward movement of the airflow, the outer spiral flow is continuously transformed into an inner cyclonic flow. The part of the airflow that rotates close to the inner cylinder is likely to become a ‘short circuit flow’, which largely affects the separation efficiency and cooling effect of the cyclone. There is evident temperature deviation and flow deviation in the twin-cylinder cyclone, which is primarily due to the high cooling air volume and high rotation of air flow coming from the gas outlet of the previous level’s cyclone. The rotation of the air flow is the main cause of the bias temperature and bias flow phenomenon in the twin-cylinder cyclone.

Suggested Citation

  • Shuai Xu & Junlin Xie & Shuxia Mei & Feng He & Runguo Li & Yuhua Deng & Chao Zhang & Xianming Zheng, 2023. "Numerical Simulation of Gas-Solid Two-Phase Heat Transfer in a Kaolin Cyclone Cooling System," Energies, MDPI, vol. 16(9), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3744-:d:1134335
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    References listed on IDEAS

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    1. Almohammadi, K.M. & Ingham, D.B. & Ma, L. & Pourkashan, M., 2013. "Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine," Energy, Elsevier, vol. 58(C), pages 483-493.
    2. Aleksandras Chlebnikovas & Artūras Kilikevičius & Jaroslaw Selech & Jonas Matijošius & Kristina Kilikevičienė & Darius Vainorius & Giorgio Passerini & Jacek Marcinkiewicz, 2021. "The Numerical Modeling of Gas Movement in a Single Inlet New Generation Multi-Channel Cyclone Separator," Energies, MDPI, vol. 14(23), pages 1-18, December.
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