Thermal control of transonic shock-boundary layer interaction over a natural laminar flow airfoil

Implicit large eddy simulations are performed to show control of shock and boundary layer interaction over a natural laminar flow airfoil by harmonic heat transfer on the suction surface at a free-stream Mach number M ∞ = 0.72 and angle of attack of α = 0.38 °, for which experimental/flight test res...

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Veröffentlicht in:Physics of fluids (1994) 2021-12, Vol.33 (12), Article 126110
Hauptverfasser: Sengupta, Tapan K., Roy, Arkadyuti Ghosh, Chakraborty, Ardhendu, Sengupta, Aditi, Sundaram, Prasannabalaji
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Sprache:eng
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Zusammenfassung:Implicit large eddy simulations are performed to show control of shock and boundary layer interaction over a natural laminar flow airfoil by harmonic heat transfer on the suction surface at a free-stream Mach number M ∞ = 0.72 and angle of attack of α = 0.38 °, for which experimental/flight test results exist. Surface heat flux is added in a time-periodic manner with the exciter strip located at different locations in the vicinity of the shock location at x / c ≈ 0.49 for the flow without any control. Four cases of localized excitation with Gaussian distribution centered at x / c = 0.45, 0.48, 0.50, and 0.55 on the airfoil surface are considered, with a width of 10% chord. The effects of unsteady heat flux on shock strength, location, and modification of its structure are demonstrated by instantaneous and time-averaged flow quantities. Detailed vortical and entropy contour plots and numerical Schlieren indicate flow features, such as creation and propagation of Kutta waves and their interactions with the shock wave. Time-averaged load distributions reveal a shift in the location and strength of the shock, with altered lift and drag time histories. The Fourier transforms of lift and drag coefficients help explain the alteration of the strength and structures of the shock-induced unsteadiness. The imposed excitation results in an improvement of aerodynamic efficiency (lift to drag ratio). The numerical simulations follow the algorithm developed in Sengupta et al. [Comput. Fluids 88, 19–37 (2013)].
ISSN:1070-6631
1089-7666
DOI:10.1063/5.0075692