Turbulence modelling of deep dynamic stall at low Reynolds number

Shengyi Wang; Lin Ma; Derek B. Ingham; Mohamed Pourkashanian; Zhi Tao

Turbulence modelling of deep dynamic stall at low Reynolds number

Shengyi Wang^*
, Lin Ma
, Derek B. Ingham
, Mohamed Pourkashanian
, Zhi Tao

^*Corresponding author for this work

Research institute of Aero-Engine

Beihang University
University of Leeds

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

The unsteady separated turbulent flow around an oscillating airfoil pitching in a sinusoidal pattern in the regime of low Reynolds number is investigated numerically employing the URANS approach with two advanced turbulence models, namely the RNG k-ε mode and Transition SST model, and the DES approach based on the SST k-ω model. A comparison with experimental data shows that the SST k-ω based DES approach is superior to the employed URANS turbulence models and presents good agreement with the validation data. The flow development of the dynamic stall is discussed.

Original language	English
Title of host publication	WCE 2010 - World Congress on Engineering 2010
Pages	1350-1355
Number of pages	6
State	Published - 2010
Event	World Congress on Engineering 2010, WCE 2010 - London, United Kingdom Duration: 30 Jun 2010 → 2 Jul 2010

Publication series

Name	WCE 2010 - World Congress on Engineering 2010
Volume	2

Conference

Conference	World Congress on Engineering 2010, WCE 2010
Country/Territory	United Kingdom
City	London
Period	30/06/10 → 2/07/10

Keywords

DES
Dynamic stall
Low reynolds number
URANS
Wind turbine

Cite this

@inproceedings{c1ed8fc6cc4648fbb90554b3b0ef2051,

title = "Turbulence modelling of deep dynamic stall at low Reynolds number",

abstract = "The unsteady separated turbulent flow around an oscillating airfoil pitching in a sinusoidal pattern in the regime of low Reynolds number is investigated numerically employing the URANS approach with two advanced turbulence models, namely the RNG k-ε mode and Transition SST model, and the DES approach based on the SST k-ω model. A comparison with experimental data shows that the SST k-ω based DES approach is superior to the employed URANS turbulence models and presents good agreement with the validation data. The flow development of the dynamic stall is discussed.",

keywords = "DES, Dynamic stall, Low reynolds number, URANS, Wind turbine",

author = "Shengyi Wang and Lin Ma and Ingham, \{Derek B.\} and Mohamed Pourkashanian and Zhi Tao",

year = "2010",

language = "英语",

isbn = "9789881821072",

series = "WCE 2010 - World Congress on Engineering 2010",

pages = "1350--1355",

booktitle = "WCE 2010 - World Congress on Engineering 2010",

note = "World Congress on Engineering 2010, WCE 2010 ; Conference date: 30-06-2010 Through 02-07-2010",

}

TY - GEN

T1 - Turbulence modelling of deep dynamic stall at low Reynolds number

AU - Wang, Shengyi

AU - Ma, Lin

AU - Ingham, Derek B.

AU - Pourkashanian, Mohamed

AU - Tao, Zhi

PY - 2010

Y1 - 2010

N2 - The unsteady separated turbulent flow around an oscillating airfoil pitching in a sinusoidal pattern in the regime of low Reynolds number is investigated numerically employing the URANS approach with two advanced turbulence models, namely the RNG k-ε mode and Transition SST model, and the DES approach based on the SST k-ω model. A comparison with experimental data shows that the SST k-ω based DES approach is superior to the employed URANS turbulence models and presents good agreement with the validation data. The flow development of the dynamic stall is discussed.

AB - The unsteady separated turbulent flow around an oscillating airfoil pitching in a sinusoidal pattern in the regime of low Reynolds number is investigated numerically employing the URANS approach with two advanced turbulence models, namely the RNG k-ε mode and Transition SST model, and the DES approach based on the SST k-ω model. A comparison with experimental data shows that the SST k-ω based DES approach is superior to the employed URANS turbulence models and presents good agreement with the validation data. The flow development of the dynamic stall is discussed.

KW - DES

KW - Dynamic stall

KW - Low reynolds number

KW - URANS

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/79959816554

M3 - 会议稿件

AN - SCOPUS:79959816554

SN - 9789881821072

T3 - WCE 2010 - World Congress on Engineering 2010

SP - 1350

EP - 1355

BT - WCE 2010 - World Congress on Engineering 2010

T2 - World Congress on Engineering 2010, WCE 2010

Y2 - 30 June 2010 through 2 July 2010

ER -

Turbulence modelling of deep dynamic stall at low Reynolds number

Abstract

Publication series

Conference

Keywords

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