IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v475y2024ics009630032400198x.html
   My bibliography  Save this article

A coupled smoothed finite element method and Lagrangian particle tracking model for three-dimensional dilute particle-laden flows

Author

Listed:
  • Zhou, Guo
  • Wang, Tiantian
  • Jiang, Chen
  • Shi, Fangcheng
  • Zhang, Lei
  • Wang, Yu
  • Yang, Buyao

Abstract

In this study, a coupled solution algorithm for three-dimensional dilute particle-laden flows is proposed by integrating the Lagrangian particle tracking model into the smoothed finite element method (S-FEM). Initially, an unstructured mesh fluid solver with multi-type elements is developed using the cell-based S-FEM (CS-FEM) in the Eulerian framework. Subsequently, a fluid force-driven strategy is employed to trace the particle trajectories based on the Lagrangian approach. Moreover, a one-way coupling strategy is designed to perform the solution of the particle-fluid system. To ensure accurate computation of fluid information at the particle positions, we introduce the spherical mean value interpolation algorithm that is compatible with polyhedral elements, enabling uniform interpolation across different types of elements. The correctness of both the Eulerian and Lagrangian solvers is validated independently using benchmarks. Numerical results, validated by references and the finite volume method (FVM) software Fluent, demonstrate the effective prediction of particle trajectories and distributions by the proposed algorithm. Overall, this algorithm expands the application of CS-FEM to multiphase flows and exhibits its capability to handle practical particle-laden flow problems.

Suggested Citation

  • Zhou, Guo & Wang, Tiantian & Jiang, Chen & Shi, Fangcheng & Zhang, Lei & Wang, Yu & Yang, Buyao, 2024. "A coupled smoothed finite element method and Lagrangian particle tracking model for three-dimensional dilute particle-laden flows," Applied Mathematics and Computation, Elsevier, vol. 475(C).
  • Handle: RePEc:eee:apmaco:v:475:y:2024:i:c:s009630032400198x
    DOI: 10.1016/j.amc.2024.128726
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630032400198X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2024.128726?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Mingyang & Gao, Guangjun & Khoo, Boo Cheong & He, Zhenhu & Jiang, Chen, 2022. "A cell-based smoothed finite element model for non-Newtonian blood flow," Applied Mathematics and Computation, Elsevier, vol. 435(C).
    2. Safdari, Arman & Kim, Kyung Chun, 2015. "Lattice Boltzmann simulation of the three-dimensional motions of particles with various density ratios in lid-driven cavity flow," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 826-843.
    3. Iqbal, Naveed & Rauh, Cornelia, 2016. "Coupling of discrete element model (DEM) with computational fluid mechanics (CFD): A validation study," Applied Mathematics and Computation, Elsevier, vol. 277(C), pages 154-163.
    4. Roy, Nityananda & Wijaya, Karunia Putra & Götz, Thomas & Sundar, S., 2022. "Transport of ellipsoidal microplastic particles in a 3D lid-driven cavity under size and aspect ratio variation," Applied Mathematics and Computation, Elsevier, vol. 413(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Dongxiang & Fu, Shuang & Ling, Xiang & Peng, Hao & Yang, Xinjun & Yuan, Fangyang & Du, Jiyun & Yu, Wei, 2023. "Turbulent fluidization and transition velocity of Geldart B granules in a spout–fluidized bed reactor," Energy, Elsevier, vol. 268(C).
    2. Qian Ma & Junhua Xue & Yu Shi & Xiangzhen Zeng, 2023. "Characteristics of Porosity Distribution and Gas Migration in Different Layers of Comprehensive Working Face Goaf," Energies, MDPI, vol. 16(5), pages 1-15, February.

    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:eee:apmaco:v:475:y:2024:i:c:s009630032400198x. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.