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Modelling self-excited thermoacoustic instability in gas turbine combustor

    • singh.112
      Subscriber

      HI all,

      I am working on modelling self-excited thermoacoustic instability in gas turbine combustor. I am using FGM combustion model with LES. However I am unable to capture any periodic behavious from the simulations as shown in experiments. With the same boundary conditions when I tried of using EDC with URANS, I was able to get periodic behaviour of the flame. Running EDC is computationaly very expensive I wanted to run FGM. Any help will be higly apprecited. 

      Thanks in advance. 

       

    • Ren
      Ansys Employee

      Hello,

      Did you activate the "Compressibility Effects" PDF option in the Species model dialog box?

      Are you using the "Turbulent Flame Speed" turbulence-chemistry interaction method?

       

    • singh.112
      Subscriber

      Hello Ren, 

      Thanks for your response. 

      I did try the compressibility effects but it was giving periodic signal for even stable case. After seing the results, I went through the suerguide where it was mentioned that for significant pressure changes only we should use compressibility effects. I am not sure what should be considered significant pressure variation. Yes I did try turbulent flame speed approach but without compressibility effects. Without compressibility effects, I did not get any periodic signals. 

       

       

       

    • Ren
      Ansys Employee

      For thermoacoustics, the pressure-density coupling is important. So, the compressibility effects option is necessary.

      The user guide is referring to combustion applications involving compressible flows (higher Mach number values). 

       

    • singh.112
      Subscriber

      Okay I will just give a try one more time with turbulent flame speed. 

      Should I use ZIMONT or PETERS approach ? 

       

    • Ren
      Ansys Employee

      You can use either. One may be better than the other depending on the fuels and flow configuration. Sometimes, it may also be necessary to tweak the model parameters. 

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