Volume 17 Issue 4
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LAN X J, ZHAO W W, WAN D C. Numerical simulation of Poiseuille flow based on moving particle semi-implicit method[J]. Chinese Journal of Ship Research, 2022, 17(4): 177–182. DOI: 10.19693/j.issn.1673-3185.02276
Citation: LAN X J, ZHAO W W, WAN D C. Numerical simulation of Poiseuille flow based on moving particle semi-implicit method[J]. Chinese Journal of Ship Research, 2022, 17(4): 177–182. DOI: 10.19693/j.issn.1673-3185.02276
shu

Numerical simulation of Poiseuille flow based on moving particle semi-implicit method

  • 1.

    Computational Marine Hydrodynamics Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China

  • 2.

    School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

More Information
  • Received Date: January 20, 2021
  • Revised Date: July 10, 2021
  • Available Online: July 19, 2021
© 2022 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Graphical Abstract
    • Abstract
  •   Objectives  Poiseuille flow widely exists in the industry, but the stability and reliability of the moving particle semi-implicit (MPS) method in the simulation of wall shear flow such as Poiseuille flow need to be verified.
      Methods  The meshless solver MLParticle-SJTU, which was developed independently based on the MPS method, is used to simulate Poiseuille flow in 2D pipes under different Reynolds numbers by establishing the inflow boundary and no-slip wall boundary, and the fluid is an incompressible Newtonian fluid. The numerical simulation results and theoretical results are then compared to verify the accuracy of the former.
      Results  The results show that the velocity profile of Poiseuille flow is parabolic when the flow is fully developed, and the error of the numerical simulation results is within 5% compared with the theoretical results under different Reynolds numbers.
      Conclusion  This study shows that the MPS method is effective and reliable for simulating 2D Poiseuille flow under the boundary conditions proposed in this paper.
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    • References (17)
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