Effects of turbulence boundary conditions on Spalart-Allmaras RANS simulations for active flow control applications
Navid Monshi Tousi, Josep M. Bergada, Fernando Mellibovsky

TL;DR
This study evaluates how turbulence boundary conditions affect RANS simulations with the Spalart-Allmaras model for active flow control, demonstrating that proper boundary settings enable cost-effective and reasonably accurate predictions of flow behavior.
Contribution
It identifies optimal turbulence boundary conditions for RANS-SA simulations in active flow control, validating their use for preliminary SJA parameter optimization.
Findings
RANS-SA can predict lift and drag with reasonable accuracy
Proper turbulence jet levels are crucial for flow reattachment
RANS-SA offers a cost-effective alternative to LES for initial design
Abstract
We assess the suitability of Reynolds-Averaged Navier-Stokes (RANS) simulation using the Spallart-Almaras (SA) turbulence model as a closure in analysing the performance of fluidic Active Flow Control (AFC) applications. In particular, we focus on the optimal set of actuation parameters found by Tousi et al. [1, 2] for a SD7003 airfoil at a Reynolds number Re = 6 e4 and post-stall angle of attack alpha = 14 degrees fitted with a Synthetic Jet Actuator (SJA). The Large Eddy Simulation (LES) presented in that work is taken as the reference to identify the best choice of boundary conditions for the turbulence field nu' at both domain inlet and jet orifice in two-dimensional RANS-SA computations. Although SA-RANS is far less accurate than LES, our findings show that it can still predict macroscopic aggregates such as lift and drag coefficients quite statisfactorily and at a much lower…
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Taxonomy
TopicsPlasma and Flow Control in Aerodynamics · Fluid Dynamics and Turbulent Flows
