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  4. Modulation of the Leading-Edge Vortex Shedding Rate in Discrete-Vortex Methods
 
conference paper

Modulation of the Leading-Edge Vortex Shedding Rate in Discrete-Vortex Methods

Martinez-Carmena, Alfonso
•
He, Guosheng  
•
Mulleners, Karen  
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December 29, 2022
AIAA SCITECH 2022 Forum
AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

A new method to determine the rate of circulation fed into a leading-edge vortex (LEV) is presented for discrete-vortex methods (DVM). The strength of vortex particles shed from the leading edge is calculated based on the velocity at the shear layer, which is formulated in terms of an inviscid parameter from unsteady thin-airfoil theory (UTAT), the leading-edge suction parameter (LESP). This new model is compared against a widely established method to determine the best way of simulating leading-edge vortex shedding in low-order models. Computational fluid dynamics (CFD) simulations and experiments are combined to test the performance of both models in two distinctive scenarios dominated by large-scale vortices: rapid transient pitch up maneuvers at a Reynolds number as low as Re=10000 and classic dynamic stall studies, characterized by periodic oscillations around the static stall angle at a high Reynolds number of 550000. The improved performance of the new model is particularly evident when the effects of thickness and Reynolds number are important.

  • Details
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Type
conference paper
DOI
10.2514/6.2022-2416
Web of Science ID

WOS:001409651300295

Author(s)
Martinez-Carmena, Alfonso

University of Glasgow

He, Guosheng  

École Polytechnique Fédérale de Lausanne

Mulleners, Karen  

École Polytechnique Fédérale de Lausanne

Ramesh, Kiran

University of Glasgow

Date Issued

2022-12-29

Published in
AIAA SCITECH 2022 Forum
ISBN of the book

978-1-62410-631-6

Article Number

AIAA 2022-2416

Subjects

UNSTEADY AERODYNAMICS

•

INVISCID MODEL

•

SEPARATED FLOW

•

AIRFOIL

•

PREDICTION

•

WINGS

•

SHEET

•

LIFT

URL
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UNFOLD  
Event nameEvent acronymEvent placeEvent date
AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

San Diego, CA, US

2022-01-03 - 2022-01-07

FunderFunding(s)Grant NumberGrant URL

UK Research & Innovation (UKRI)

EP/R513222/1

Swiss National Science Foundation (SNSF)

200021E-169841

Available on Infoscience
March 5, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/247434
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