@misc{50eb27dad99844be9eff2cc9fbc9faba,
title = "Pressure-Gradient-Based RANS Model for Predicting Separation in Transitional and Turbulent Flows",
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.",
keywords = "k-omega SST, RANS, separated, stall, turbulence modeling",
author = "Kevin Griffin and Ganesh Vijayakumar and Bumseok Lee and Michael Sprague",
year = "2024",
language = "American English",
series = "Presented at the 77th Annual Meeting of the APS Division of Fluid Dynamics, 24-26 November 2024, Salt Lake City, Utah",
type = "Other",
}