IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v237y2025icp281-315.html

Phase field-lattice Boltzmann model for axisymmetric two-phase ferrofluid flows

Author

Listed:
  • Zhu, Yuqi
  • Zhang, Shiting
  • Hu, Yang
  • Yue, Xiaoqiang
  • Shu, Shi
  • He, Qiang
  • Li, Decai

Abstract

In this paper, a phase field-based lattice Boltzmann model is developed to simulate axisymmetric two-phase ferrofluid flows. The three-population multi-relaxation time lattice Boltzmann models are constructed to solve the conservative Allen-Cahn phase field equation, the velocity-based Navier-Stokes equations, and the magnetic scalar potential equation. To deal with axisymmetric effects, some appropriate equilibrium distribution functions and discrete source/forcing terms are given. The Chapman-Enskog analysis is used to show the consistencies between the present newly proposed multi-relaxation time flow field lattice Boltzmann model and macroscopic governing equations. In the numerical validation section, the Laplace law and a sphere in a uniform magnetic field were simulated, which the simulation results show good agreement with the analytical solutions. Then several typical problems such as ferrofluid droplet deformation, Rayleigh–Plateau instability, two bubbles merging and bubble rising in ferrofluids are numerically studied to explore the mechanism of phase field interface dynamics in two-phase ferrofluid flows. As the density ratio between the two phases ranges from 1.975 to 1000, and the dynamic viscosity ratio ranges from 1 to 200, the numerical simulation results are satisfactory. This indicates that the proposed model can effectively deal with complex two-phase ferrofluid flows with large density and viscosity ratios.

Suggested Citation

  • Zhu, Yuqi & Zhang, Shiting & Hu, Yang & Yue, Xiaoqiang & Shu, Shi & He, Qiang & Li, Decai, 2025. "Phase field-lattice Boltzmann model for axisymmetric two-phase ferrofluid flows," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 237(C), pages 281-315.
  • Handle: RePEc:eee:matcom:v:237:y:2025:i:c:p:281-315
    DOI: 10.1016/j.matcom.2025.04.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475425001685
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2025.04.034?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Maksim A. Pakhomov & Viktor I. Terekhov, 2022. "Modeling of Turbulent Heat-Transfer Augmentation in Gas-Droplet Non-Boiling Flow in Diverging and Converging Axisymmetric Ducts with Sudden Expansion," Energies, MDPI, vol. 15(16), pages 1-12, August.
    2. Zhipeng Zhao & Huizeng Li & An Li & Wei Fang & Zheren Cai & Mingzhu Li & Xiqiao Feng & Yanlin Song, 2021. "Breaking the symmetry to suppress the Plateau–Rayleigh instability and optimize hydropower utilization," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    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. Zhipeng Zhao & Wei Li & Xiaotian Hu & Qiyu Deng & Yiyuan Zhang & Shaojun Jiang & Pengcheng Sun & Hengjia Zhu & Hegeng Li & Siyi Shi & Zhandong Huang & An Li & Huizeng Li & Meng Su & Fengyu Li & Steven, 2025. "The limit of droplet rebound angle," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    2. Renxuan Yuan & Huizeng Li & Zhipeng Zhao & An Li & Luanluan Xue & Kaixuan Li & Xiao Deng & Xinye Yu & Rujun Li & Quan Liu & Yanlin Song, 2024. "Hermetic hydrovoltaic cell sustained by internal water circulation," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Luanluan Xue & An Li & Huizeng Li & Xinye Yu & Kaixuan Li & Renxuan Yuan & Xiao Deng & Rujun Li & Quan Liu & Yanlin Song, 2024. "Droplet-based mechanical transducers modulated by the symmetry of wettability patterns," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Manideepa Dhar & Debasmita Sarkar & Avijit Das & S. K. Asif Rahaman & Dibyendu Ghosh & Uttam Manna, 2024. "‘Rewritable’ and ‘liquid-specific’ recognizable wettability pattern," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:matcom:v:237:y:2025:i:c:p:281-315. 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: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.