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Classification and sound generation of two-dimensional interaction of two Taylor vortices

Shuhai Zhang China Aerodynamics Research and Development Center Hu Li China Aerodynamics Research and Development Center Xuliang Liu China Aerodynamics Research and Development Center Hanxin Zhang China Aerodynamics Research and Development Center Chi-Wang Shu Brown University

Numerical Analysis and Scientific Computing mathscidoc:1610.25055

Physics of Fluids, 25, 056103, 2013
Two-dimensional interaction between two Taylor vortices is simulated systematically through solving the two-dimensional, unsteady compressible Navier-Stokes equations using a fifth order weighted essentially nonoscillatory finite difference scheme. The main purpose of this study is to reveal the mechanism of sound generation in two-dimensional interaction of two Taylor vortices. Based on an extensive parameter study on the evolution of the vorticity field, we classify the interaction of two Taylor vortices into four types. The first type is the interaction of two counter-rotating vortices with similar strengths. The second type is the interaction of two co-rotating vortices without merging. The third type is the merging of two co-rotating vortices. The fourth type is the interaction of two vortices with a large difference in their strengths or scales. The mechanism of sound generation is analyzed.
WENO scheme, sound wave, Taylor vortex
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@inproceedings{shuhai2013classification,
  title={Classification and sound generation of two-dimensional interaction of two Taylor vortices},
  author={Shuhai Zhang, Hu Li, Xuliang Liu, Hanxin Zhang, and Chi-Wang Shu},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20161012055222856017173},
  booktitle={Physics of Fluids},
  volume={25},
  pages={056103},
  year={2013},
}
Shuhai Zhang, Hu Li, Xuliang Liu, Hanxin Zhang, and Chi-Wang Shu. Classification and sound generation of two-dimensional interaction of two Taylor vortices. 2013. Vol. 25. In Physics of Fluids. pp.056103. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20161012055222856017173.
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