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Modeling of the Solid Stress Tensor in the MP-PIC Method: A Review of Methods and Applications

Author

Listed:
  • Luis Henríquez-Vargas

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Pablo Donoso-García

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Lawrence Lackey

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Mauricio Bravo-Gutiérrez

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Benjamín Cajas

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Alejandro Reyes

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Nicolás Pailahueque

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Isaac Díaz-Aburto

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

  • Valeri Bubnovich

    (Departamento de Ingeniería Química y Bioprocesos, Universidad de Santiago de Chile, Santiago 9170022, Chile)

Abstract

In recent years, the fast growth of computational power has allowed the application of computational fluid dynamics (CFD) in a wide range of areas of interest, such as gas–solid unit operations. In this context, the multiphase particle-in-cell (MP-PIC) method appears as an option to represent fluid–particle and particle–particle interactions, avoiding the complexity of tracking each particle and the high computational cost derived from this. The MP-PIC method can represent the particles as a group with the same characteristics, allowing the simulation of gas–solid systems at different scales. To achieve this, the particle–particle interactions are simplified using the solid stress tensor to represent them; this does not require explicit expressions. This approach has a low computational cost, allowing the simulation of industrial cases using just workstations. This paper provides a review of the literature on the solid stress tensor and its commercial and non-commercial applications, including its historical and mathematical development in the description of particle–particle interactions. In addition, to consolidate the knowledge and advancing understanding in this crucial aspect of multiphase flow simulations, this review identifies the current challenges and opportunities for future research in multiphase systems based on the solid stress tensor. In addition, this review identifies the current challenges and opportunities for future research in multiphase systems based on the solid stress tensor.

Suggested Citation

  • Luis Henríquez-Vargas & Pablo Donoso-García & Lawrence Lackey & Mauricio Bravo-Gutiérrez & Benjamín Cajas & Alejandro Reyes & Nicolás Pailahueque & Isaac Díaz-Aburto & Valeri Bubnovich, 2024. "Modeling of the Solid Stress Tensor in the MP-PIC Method: A Review of Methods and Applications," Mathematics, MDPI, vol. 12(23), pages 1-33, November.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3700-:d:1529713
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    References listed on IDEAS

    as
    1. Wan, Zhanghao & Yang, Shiliang & Wei, Yonggang & Hu, Jianhang & Wang, Hua, 2020. "CFD modeling of the flow dynamics and gasification in the combustor and gasifier of a dual fluidized bed pilot plant," Energy, Elsevier, vol. 198(C).
    2. Liu, Hui & Cattolica, Robert J. & Seiser, Reinhard & Liao, Chang-hsien, 2015. "Three-dimensional full-loop simulation of a dual fluidized-bed biomass gasifier," Applied Energy, Elsevier, vol. 160(C), pages 489-501.
    3. Yang, Shiliang & Zhou, Tao & Wei, Yonggang & Hu, Jianhang & Wang, Hua, 2020. "Dynamical and thermal property of rising bubbles in the bubbling fluidized biomass gasifier with wide particle size distribution," Applied Energy, Elsevier, vol. 259(C).
    4. Sun, Haoran & Yang, Shiliang & Bao, Guirong & Hu, Jianhang & Wang, Hua, 2023. "Numerical evaluation of multi-scale properties in biomass fast pyrolysis in fountain confined conical spouted bed," Energy, Elsevier, vol. 283(C).
    5. Fan, Feihu & Zheng, Min & Yang, Shiliang & Wang, Hua, 2021. "Numerical study of fluid dynamics and heat transfer property of dual fluidized bed gasifier," Energy, Elsevier, vol. 234(C).
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