Turn off MathJax
Article Contents
Numerical Simulation of Poiseuille Flow Based on Moving Particle Semi-Implicit Method[J]. Chinese Journal of Ship Research. doi: 10.19693/j.issn.1673-3185.02276
Citation: Numerical Simulation of Poiseuille Flow Based on Moving Particle Semi-Implicit Method[J]. Chinese Journal of Ship Research. doi: 10.19693/j.issn.1673-3185.02276

Numerical Simulation of Poiseuille Flow Based on Moving Particle Semi-Implicit Method

doi: 10.19693/j.issn.1673-3185.02276
  • Received Date: 2021-01-22
    Available Online: 2021-07-20
    © 2021 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.
  • [Objectives] Poiseuille flow is widely existed in industry, such as low Reynolds number pipeline flow, and pipeline transport is the key stage in deep-sea mining. The study of Poiseuille flow has guiding significance for the study of pipeline transport which is more comlex. [Methods] Moving Particle Semi-Implicit Method (MPS) is a meshless Lagrangian method, which uses Lagrangian particles to carry flow field information, so it can avoid the influence of mesh deformation on the calculation results. MPS has been widely applied in flows with free surface, multiphase flows and other flows. The meshless solver MLParticle-SJTU, which is developed independently based on MPS method, is used to simulate the Poiseuille flow in two-dimensional pipes under different Reynolds Numbers, by establishing inflow boundary and no-slip wall boundary, and the fluid is an incompressible Newtonian fluid. [Results] The simulation results show that after full development, the flow velocity profile is parabolic, and the error of the numerical simulation results is within 5% compared with the theoretical results under different Reynolds Numbers. [Conclusion] This indicates that it is effective and reliable that use the MPS method to simulate two-dimensional Poiseuille flows under the boundary conditions proposed in this paper.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (166) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return