2012
DOI: 10.4028/www.scientific.net/amm.225.103
|View full text |Cite
|
Sign up to set email alerts
|

Experimental Study of Free Stream Turbulent Effects on Dynamic Stall of Pitching Airfoil by Using Particle Image Velocimetry

Abstract: The unsteady flow fields above NACA 0015 airfoil pitching with/without upstream turbulence generator are investigated in a water tunnel by mean of particle image velocimetry (PIV). The turbulence was generated by a square bar mesh situated at the inlet of the test section. The airfoil pitching waveform is performed under the condition calculated from the angle of attack histogram of a vertical axis wind turbine (VAWT). By using PIV, the instantaneous vortex structures above the pitching airfoil can be revealed… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 21 publications
(8 citation statements)
references
References 7 publications
0
8
0
Order By: Relevance
“…Over prediction of EFD Cp at high λ may also occur as a result of blockage effects that were not accounted for in the EFD results, which can artificially increase Cp by more than 25% as shown in previous EFD studies [20]. Prediction errors may also occur due to differences in the turbulence intensity levels between the CFD models and EFD testing, as high turbulence intensity levels can delay stall [21]. This can lead to increases in Cp especially at high λ [22].…”
Section: Computational Fluid Dynamics Simulationsmentioning
confidence: 96%
“…Over prediction of EFD Cp at high λ may also occur as a result of blockage effects that were not accounted for in the EFD results, which can artificially increase Cp by more than 25% as shown in previous EFD studies [20]. Prediction errors may also occur due to differences in the turbulence intensity levels between the CFD models and EFD testing, as high turbulence intensity levels can delay stall [21]. This can lead to increases in Cp especially at high λ [22].…”
Section: Computational Fluid Dynamics Simulationsmentioning
confidence: 96%
“…Improvements of simulation accuracy at high λ may be possible using newly developed transitional turbulent models that can account for this laminar-turbulent transition behaviour [19]. Over prediction of Cp at high λ may also occur as a result of blockage errors that were not accounted for in EFD results which could artificially increase EFD Cp [26], and may also occur due to differences in the turbulence intensity levels between the CFD models and EFD testing, as high turbulence intensity levels can delay stall [27], leading to increases in Cp especially at high λ [28], with no turbulence intensity measurements recorded during EFD testing to compare to CFD turbulence levels. Significantly both CFD models were able to accurately capture the effect of geometrical changes on maximum Cp, which was simulated to within 14.3% and 6.3% of EFD results for turbines A and B…”
Section: Validation Of Numerical Simulations With Experimental Fluid mentioning
confidence: 99%
“…For S-VAWTs, after the wind bypasses blades, the incoming flow becomes more complicated. According to previous studies [9,10,11,12], the performance of the downstream turbine is deteriorated by the wake, and therefore the distance between two S-VAWTs should be large enough to reduce the wake effect. The distance for VAWT is usually 15 times larger than the rotor diameter [1].…”
Section: Introductionmentioning
confidence: 99%