Pressure-Gradient-Based RANS Model for Predicting Separation in Transitional and Turbulent Flows

Research output: NRELPresentation

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.
Original languageAmerican English
Number of pages15
StatePublished - 2024

Publication series

NamePresented at the 77th Annual Meeting of the APS Division of Fluid Dynamics, 24-26 November 2024, Salt Lake City, Utah

NREL Publication Number

  • NREL/PR-2C00-92248

Keywords

  • k-omega SST
  • RANS
  • separated
  • stall
  • turbulence modeling

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