54th AIAA Aerospace Sciences Meeting 2016
DOI: 10.2514/6.2016-0585
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Validation of a turbulence methodology using the SST k-ω model for adjoint calculation

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Cited by 16 publications
(6 citation statements)
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“…The experimental aerodynamic coefficients show a considerable difference from the CFD results, which can be attributed to the challenges in modeling turbulence accuratelyparticularly in transitional flow. The reduction in the lift slope predicted from CFD is not present in the experimental data, which points to the k-ω SST model's tendency to over-predict flow separation regions [57]. The inlet boundary condition assumptions and flow domain size in the CFD analysis also contribute to the difference in results.…”
Section: Resultsmentioning
confidence: 82%
“…The experimental aerodynamic coefficients show a considerable difference from the CFD results, which can be attributed to the challenges in modeling turbulence accuratelyparticularly in transitional flow. The reduction in the lift slope predicted from CFD is not present in the experimental data, which points to the k-ω SST model's tendency to over-predict flow separation regions [57]. The inlet boundary condition assumptions and flow domain size in the CFD analysis also contribute to the difference in results.…”
Section: Resultsmentioning
confidence: 82%
“…The realisability coefficient was set at 1.2. This setup originates from a recent study that showed improved stability and convergence using these values [9]. The CFL number was initially linearly ramped to avoid the development of an unstable solution.…”
Section: Cfd Model Setupmentioning
confidence: 99%
“…This convergence was achieved at 1200-1400 iterations. We used the SST (Menter's Shear Stress Transport) k − ω model of turbulence [66,67], as the most accurate and reliable for flows with a positive pressure gradient when flowing around profiles. At the inlet and outlet of the compressor, the mass flow rate and temperature corresponding to the engine emergency operation were set.…”
Section: Cfd Modelmentioning
confidence: 99%