Pressure-gradient-based RANS model for predicting separation in transitional and turbulent flows

ORAL

Abstract

Predicting flow separation poses a significant challenge for RANS models, particularly in transitional flows over airfoils. We propose a novel improvement to RANS models to predict incipient separation in both transitional and fully turbulent flows. Our approach modifies the eddy viscosity model in regions indicated by a pressure-gradient criterion that accounts for intermittency-determining whether the boundary layer is laminar or turbulent. This model demonstrates robust generalization across various airfoil shapes and Reynolds numbers. Applied to the NREL Phase VI wind turbine rotor, our model shows improved aerodynamic performance predictions compared to the baseline RANS model.

Presenters

  • Kevin P Griffin

    National Renewable Energy Laboratory (NREL)

Authors

  • Kevin P Griffin

    National Renewable Energy Laboratory (NREL)

  • Ganesh Vijayakumar

    National Renewable Energy Laboratory

  • Bumseok Lee

    National Renewable Energy Laboratory

  • Michael A Sprague

    National Renewable Energy Laboratory