• Modeling for Greater Insight with Harmonic Balance
    Multi-stage turbomachinery flow-fields are inherently unsteady. Accurately capturing unsteady flow features such as tip vortex motion and blade-row interaction is important for properly predicting machine performance and thermal profiles. Modeling these unsteady features provides greater insight into the transient nature of the system, and is also necessary for accurate prediction of time-averaged quantities such as efficiency and blade temperature...
  • Advanced Turbomachinery Simulation using STAR-CCM+
    STAR-CCM+ provides a unique set of simulation capabilities, which allow for accurate and rapid simulation of turbomachines. These simulation capabilities include conjugate heat transfer analysis, aeroelastic analysis and performance mapping. This presentation will discuss modeling capabilities critical for the industry such as geometry handling, conformal meshing of complex bodies, solution methods and advanced post-processing. Details of how the Harmonic...
  • Harmonic Balance Analysis of a NASA Rotor Compressor blade
  • Fred Mendonça & Prashanth Shankara - CD-adapco Numerical Simulation of Turbomachinery flows are among the most complex computations performed in the world of Computational Fluid Dynamics (CFD). CFD applied to Turbomachinery has come a long way from the inviscid 2D blade-toblade methods of the 1960’s and recent developments have ensured that numerical simulation plays a major role in turbomachinery design. Dynamics 32 - Read more...
  • Harmonic Balance Solution View
    STAR-CCM+ v9.06 includes the new Harmonic Balance (HB) Solution View for improved post-processing. The animation shows the pressure contours on the whole disc using the HB Solution View.
  • At the heart of STAR-CCM+’s post-processing toolset is the ability to extract and analyze engineering data. Here, an harmonic balance (HB) simulation was performed on a multistage axial compressor and the relative Mach mumber on the blades was displayed.

Multi-stage turbomachinery flow-fields are inherently unsteady. Accurately capturing unsteady flow features such as tip vortex motion and blade-row interaction is important for properly predicting machine performance and thermal profiles. Modeling these unsteady features provides greater insight into the transient nature of the system, and is also necessary for accurate prediction of time-averaged quantities such as efficiency and blade temperature. Traditional time-marching unsteady methods are often accompanied by prohibitive expense with regard to computational cost. The harmonic balance method in STAR-CCM+ is able to capture unsteady flow features and blade-row interaction at a fraction of the computational cost of a traditional time-marching method.

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