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research article

All you need is time to generalise the Goman-Khrabrov dynamic stall model

Ayancik, Fatma  
•
Mulleners, Karen  
May 19, 2022
Journal of Fluid Mechanics

Dynamic stall on airfoils negatively impacts their aerodynamic performance and can lead to structural damage. Accurate prediction and modelling of the dynamic stall loads are crucial for a more robust design of wings and blades that operate under unsteady conditions susceptible to dynamic stall and for widening the range of operation of these lifting surfaces. Many dynamic stall models rely on empirical parameters that need to be obtained from experimental or numerical data which limits their generalisability. Mere, we introduce physically derived time scales to replace the empirical parameters in the Goman-Khrabrov dynamic stall model. The physics-based time constants correspond to the dynamic stall delay and the decay of post-stall load fluctuations. The dynamic stall delay is largely independent of the type of motion, the Reynolds number and the airfoil geometry, and is described as a function of a normalised instantaneous pitch rate. The post-stall decay is independent of the motion kinematics and is related to the Strouhal number of the post-stall vortex shedding. The general validity of our physics-based time constants is demonstrated using three sets of experimental dynamic stall data covering various airfoil profiles, Reynolds numbers varying from 75 000 to 1 000 000, and sinusoidal and ramp-up pitching motions. The use of physics-based time constants generalises the Goman-Khrabrov dynamic stall model and extends its range of application.

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Type
research article
DOI
10.1017/jfm.2022.381
Web of Science ID

WOS:000797580600001

Author(s)
Ayancik, Fatma  
Mulleners, Karen  
Date Issued

2022-05-19

Publisher

Cambridge University Press

Published in
Journal of Fluid Mechanics
Volume

942

Start page

R8

Subjects

Mechanics

•

Physics, Fluids & Plasmas

•

Physics

•

separated flows

•

airfoil

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UNFOLD  
Available on Infoscience
June 6, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/188262
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