2006
DOI: 10.1080/10407780500324798
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Numerical Predictions of Stanton Numbers, Skin Friction Coefficients, Aerodynamic Losses, and Reynolds Analogy Behavior for a Transsonic Turbine Vane

Abstract: Stanton numbers, skin friction coefficients, aerodynamic losses, and Reynolds analogy behavior are numerically predicted for a turbine vane using the FLUENT commercial code with a k-e RNG model to show the effects of Mach number, mainstream turbulence level, and surface roughness. Test vane geometry, configuration, and flow conditions match ones from a practical application. Comparisons with experimental data on wake aerodynamic losses are made. Numerical and experimental results show that the magnitudes of in… Show more

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Cited by 9 publications
(6 citation statements)
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“…For the present airfoil shape and configuration, numerical predictions by Zhang and Ligrani [39] show that flow separation regions (as well as associated form drag contributions) are about the same for all three airfoils, regardless of their k s /cx value (of either 0, 0.00069, or 0.00164). Numerical results also show that boundary layers are almost entirely turbulent along the entire length of all three tested airfoils.…”
Section: Comparisons Between Investigationsmentioning
confidence: 66%
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“…For the present airfoil shape and configuration, numerical predictions by Zhang and Ligrani [39] show that flow separation regions (as well as associated form drag contributions) are about the same for all three airfoils, regardless of their k s /cx value (of either 0, 0.00069, or 0.00164). Numerical results also show that boundary layers are almost entirely turbulent along the entire length of all three tested airfoils.…”
Section: Comparisons Between Investigationsmentioning
confidence: 66%
“…The data of Zhang and Ligrani [8] show that magnitudes of Integrated Aerodynamic Losses change by much larger amounts as either the freestream Mach number or turbulence intensity are altered, when the airfoil is roughened (compared to smooth airfoil results). Other recent investigations are described by Zhang et al [37,38] and by Zhang and Ligrani [39,40].…”
Section: International Journal Of Rotating Machinerymentioning
confidence: 78%
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