Three-dimensional numerical simulation of the movement of the flexible body under different constraints
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  • 作者:Yuzhen Jin (1)
    Jun Li (1)
    Linhang Zhu (2)
    Jiayou Du (1)
    Yingzi Jin (1)
    Peifeng Lin (1)
  • 关键词:fluid ; structure interaction ; numerical simulation ; flexible body ; adaptive grid control method
  • 刊名:Journal of Thermal Science
  • 出版年:2014
  • 出版时间:December 2014
  • 年:2014
  • 卷:23
  • 期:6
  • 页码:593-599
  • 全文大小:1,377 KB
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    3. De Meulemeester Simon, Puissant Patrick, Van Langenhove Lieva. Three-dimensional Simulation of the Dynamic Yarn Behavior on Air-jet Looms. Textile Research Journal, 2009. 18(79): p.1706-714.
    4. HAO Jian, ZHU Luoding, A lattice Boltzmann based implicit immersed boundary method for fluid-structure interaction. Computers and Mathematics with Applications, 2010. 59(2010): p.185-93. CrossRef
    5. Ranjith Maniyeri, Sangmo Kang, Numerical study on the rotation of an elastic rod in a viscous fluid using an immersed boundary method. Journal of Mechanical Science and Technology, 2012. 5(26): p.1515-522. CrossRef
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  • 作者单位:Yuzhen Jin (1)
    Jun Li (1)
    Linhang Zhu (2)
    Jiayou Du (1)
    Yingzi Jin (1)
    Peifeng Lin (1)

    1. Zhejiang Provincial Key Lab of Modern Textile Machinery & Technology, Zhejiang Sci-Tech University, Zhejiang, China
    2. Zhejiang University, 1201 Chu Kochen Honors College, Zhejiang, China
  • ISSN:1993-033X
文摘
For the large deformation of the flexible body may cause the fluid grid distortion, which will make the numerical calculation tedious, even to end, the numerical simulation of the flexible body coupling with the fluid is always a tough problem. In this paper, the flexible body is under two kinds of constrained conditions and the ratio of length-diameter is 1:30. The Reynolds number of the airflow is 513, belonging to the area of low Reynolds number. The control equations of the coupling of flexible body with airflow are built and the adaptive grid control method is adopted to conduct the three-dimensional numerical simulation of the movement of the flexible body. The numerical results show that it is possible to simulate the characteristics of the flexible body’s movement in the low Reynolds number airflow when the appropriate control equations are modeled and suitable equation-solving method is adopted. Unconstrained flexible body would turn over forward along the airflow’s diffusion direction, while constrained flexible body in the flow field will make periodic rotation motion along the axis of the flexible body, and the bending deformation is more obvious than that of unconstrained flexible body. The preliminary three-dimensional numerical simulation can provide references for further research on the characteristics of the yarn movement in high Reynolds number airflow.

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