Vortex Visualization in Tecplot

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  • Опубліковано 25 вер 2024
  • This video tutorial shows how to calculate and visualize vortex cores, vortex surfaces (lambda2) and how to place and animate streamlines around them.

КОМЕНТАРІ • 14

  • @richardyang9167
    @richardyang9167 9 років тому +1

    This is wonderful video, very helpful Thank you

  • @robertkaiser5731
    @robertkaiser5731 9 років тому +1

    Great video tutorial....thank you very much

  • @sammycristopher4921
    @sammycristopher4921 5 років тому +1

    Hi, I'm student , I tried use a vortex core in tecplot, but it says that the variables of my data are not recognized. I should puts in a especial order the components velocities, in the set information? Order of my variables, x,y,z,u,v,w

  • @giannisfilippou7460
    @giannisfilippou7460 2 роки тому

    Is the final methodology where you are using the equations actually the q-criterion?

  • @naseebsiddiqui9739
    @naseebsiddiqui9739 3 роки тому

    Hello there, I am trying to plot Lambda 2 criterion but when a run the equation it showed errors like >,< = symbols are only allowed in first parameter of the IF() Function. any idea

  • @JD-CFD
    @JD-CFD 7 років тому +1

    Thanks a lot, this helped me

    • @GeniasGraphics
      @GeniasGraphics  7 років тому +1

      Merci, nous sommes à votre disposition pour toute question: info@genias-graphics.de

  • @nikan4now
    @nikan4now 6 років тому

    Great video, Is the vortex core the region where vorticity is at a certain value or is it a region that encompasses a range of vorticity values?

    • @GeniasGraphics
      @GeniasGraphics  6 років тому +1

      Hi Nikan,
      The algorithm used in the video identifies the vortex cores based on the eigenmodes of the tensor of velocity gradient. Tecplot uses MIT's FX library for that. The AIAA 99-3288 paper by Robert Haimes describes the relations.
      Have a nice day!

  • @futuretech42
    @futuretech42 3 роки тому

    nice video

  • @yurifeldman982
    @yurifeldman982 7 років тому

    Can anybody explain me why Tecplot subtracts Omega^2 from S^2 instead of adding it . According to the definition of Lamda2 criterion it is based on eigenvalues of S^2+Omega^2.

    • @GeniasGraphics
      @GeniasGraphics  7 років тому +1

      Dear Yuri,
      As the rotation-rate tensor Omega is antisymmetric, a minus sign is found in some Omega^2 terms.
      This is where the minus signs come from in the S^2+Omega^2 equations.
      Best,

    • @jaedongtang37
      @jaedongtang37 5 років тому

      @@GeniasGraphics I get the reason why you need to minus the Omega^2 terms rather than plus in original definition. If I use another programming language (e.g. Python or Matlab), I could directly calculate S^2 and Omega^2 simply by matrix multiplication, right?