IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i23p3700-d1529713.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/23/3700/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/23/3700/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3700-:d:1529713. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.