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Analytical and Experimental Evaluation of the Heat Transfer Distribution over the Surfaces of Turbine Vanes
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1983
Year
AeroacousticsEngineeringAirfoil CurvatureFluid MechanicsMechanical EngineeringTurbulenceGas Turbine EngineBoundary LayerUnsteady FlowHeat Transfer ProcessHeat Transfer DistributionThermal ModelingAirfoil AerodynamicsAirfoil Data SetsHeat TransferBoundary Layer CodeExperimental EvaluationAerospace EngineeringTurbine VanesHeat Transfer EnhancementHeat ExchangerTurbulence ModelingTurbulent Flow Heat TransferAerodynamicsThermal Engineering
The boundary layer code incorporates empirical correlations for pressure gradient, airfoil curvature, and free‑stream turbulence to predict surface heat‑transfer distributions and transition. The study evaluated several analytical models by selecting three airfoil data sets and two additional high‑load airfoils for cascade testing, ultimately adopting a time‑dependent transonic inviscid cascade code coupled to a modified STAN5 boundary‑layer code with zero‑order turbulence modeling. Comparison of predictions made with the model to the data base indicates a significant improvement in predictive capability.
Three airfoil data sets were selected for use in evaluating currently available analytical models for predicting airfoil surface heat transfer distributions in a 2-D flow field. Two additional airfoils, representative of highly loaded, low solidity airfoils currently being designed, were selected for cascade testing at simulated engine conditions. Some 2-D analytical methods were examined and a version of the STAN5 boundary layer code was chosen for modification. The final form of the method utilized a time dependent, transonic inviscid cascade code coupled to a modified version of the STAN5 boundary layer code featuring zero order turbulence modeling. The boundary layer code is structured to accommodate a full spectrum of empirical correlations addressing the coupled influences of pressure gradient, airfoil curvature, and free-stream turbulence on airfoil surface heat transfer distribution and boundary layer transitional behavior. Comparison of pedictions made with the model to the data base indicates a significant improvement in predictive capability.