Turbulence modeling of deep dynamic stall at relatively low Reynolds number

2012 ◽  
Vol 33 ◽  
pp. 191-209 ◽  
Author(s):  
Shengyi Wang ◽  
Derek B. Ingham ◽  
Lin Ma ◽  
Mohamed Pourkashanian ◽  
Zhi Tao
Keyword(s):  
Reynolds Number ◽  
Turbulence Modeling ◽  
Low Reynolds Number ◽  
Dynamic Stall ◽  
Low Reynolds

Numerical investigations on dynamic stall of low Reynolds number flow around oscillating airfoils

2010 ◽  
Vol 39 (9) ◽  
pp. 1529-1541 ◽  
Author(s):  
Shengyi Wang ◽  
Derek B. Ingham ◽  
Lin Ma ◽  
Mohamed Pourkashanian ◽  
Zhi Tao
Keyword(s):  
Reynolds Number ◽  
Low Reynolds Number ◽  
Dynamic Stall ◽  
Numerical Investigations ◽  
Low Reynolds Number Flow ◽  
Reynolds Number Flow ◽  
Number Flow ◽  
Low Reynolds

Shallow and deep dynamic stall for flapping low Reynolds number airfoils

2009 ◽  
Vol 46 (5) ◽  
pp. 883-901 ◽  
Author(s):  
Michael V. Ol ◽  
Luis Bernal ◽  
Chang-Kwon Kang ◽  
Wei Shyy
Keyword(s):  
Reynolds Number ◽  
Low Reynolds Number ◽  
Dynamic Stall ◽  
Low Reynolds

Experimental Dynamic Stall study on a low Reynolds number airfoil

2015 ◽  
Author(s):  
Santiago Algozino ◽  
Julio Marañon Di Leo ◽  
Juan Delnero ◽  
Guillermo Capittini
Keyword(s):  
Reynolds Number ◽  
Low Reynolds Number ◽  
Dynamic Stall ◽  
Low Reynolds ◽  
Low Reynolds Number Airfoil

scholarly journals Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow

2019 ◽  
Author(s):  
Mojtaba Honarmand ◽  
Mohammad Hassan Djavareshkian ◽  
Behzad Forouzi Feshalami ◽  
Esmaeil Esmaeilifar
Keyword(s):  
Reynolds Number ◽  
Stokes Equations ◽  
Aerodynamic Force ◽  
Low Reynolds Number ◽  
Oscillation Amplitude ◽  
Dynamic Stall ◽  
Aerodynamic Forces ◽  
Naca0012 Airfoil ◽  
Reduced Frequency ◽  
Low Reynolds

In this research, viscous, unsteady and turbulent fluid flow is simulated numerically around a pitching NACA0012 airfoil in the dynamic stall area. The Navier-Stokes equations are discretized based on the finite volume method and are solved by the PIMPLE algorithm in the open source software, namely OpenFOAM. The SST k - ω model is used as the turbulence model for Low Reynolds Number flows in the order of 105. A homogenous dynamic mesh is used to reduce cell skewness of mesh to prevent non-physical oscillations in aerodynamic forces unlike previous studies. In this paper, the effects of Reynolds number, reduced frequency, oscillation amplitude and airfoil thickness on aerodynamic force coefficients and dynamic stall delay are investigated. These parameters have a significant impact on the maximum lift, drag, the ratio of aerodynamic forces and the location of dynamic stall. The most important parameters that affect the maximum lift to drag coefficient ratio and cause dynamic stall delaying are airfoil thickness and reduced frequency, respectively.

Simulation of dynamic stall using direct-forcing immersed boundary method at low Reynolds number

2018 ◽  
Vol 90 (5) ◽  
pp. 869-876 ◽  
Author(s):  
Nima Vaziri ◽  
Ming-Jyh Chern ◽  
Tzyy-Leng Horng
Keyword(s):  
Reynolds Number ◽  
Low Reynolds Number ◽  
Oscillation Amplitude ◽  
Dynamic Stall ◽  
Immersed Boundary ◽  
Ray Casting ◽  
Content Type ◽  
Reduced Frequency ◽  
Direct Forcing ◽  
Low Reynolds

Purpose The purpose of this study is simulation of dynamic stall behavior around the Eppler 387 airfoil in the low Reynolds number flow with a direct-forcing immersed boundary (DFIB) numerical model. Design/methodology/approach A ray-casting method is used to define the airfoil geometry. The governing continuity and Navier–Stokes momentum equations and boundary conditions are solved using the DFIB method. Findings The purposed method is validated against numerical results from alternative schemes and experimental data on static and oscillating airfoil. A base flow regime and different vortices patterns are observed, in accordance with other previously published investigations. Also, the effects of the reduced frequency, the pitch oscillation amplitude and the Reynolds number are studied. The results show that the reduced frequency has a major effect on the flow field and the force coefficients of the airfoil. On the other hand, the Reynolds number of the flow has a little effect on the dynamic stall characteristics of the airfoil at least in the laminar range. Practical implications It is demonstrated that the DFIB model provides an accurate representation of dynamic stall phenomenon. Originality/value The results show that the dynamic stall behavior around the Eppler 387 is different than the general dynamic stall behavior understanding in the shedding phase.

Shallow and deep dynamic stall for flapping low Reynolds number airfoils

2010 ◽  
pp. 321-339 ◽  
Author(s):  
Michael V. Ol ◽  
Luis Bernal ◽  
Chang-Kwon Kang ◽  
Wei Shyy
Keyword(s):  
Reynolds Number ◽  
Low Reynolds Number ◽  
Dynamic Stall ◽  
Low Reynolds

Low Reynolds number turbulence modeling of blood flow in arterial stenoses

Biorheology ◽  
1998 ◽  
Vol 35 (4-5) ◽  
pp. 281-294 ◽  
Author(s):  
F GHALICHI ◽  
X DENG ◽  
A CHAMPLAIN ◽  
Y DOUVILLE ◽  
M KING ◽  
...  
Keyword(s):  
Reynolds Number ◽  
Blood Flow ◽  
Turbulence Modeling ◽  
Low Reynolds Number ◽  
Low Reynolds ◽  
Arterial Stenoses
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