Implementation and Verification of a Correlation Based Transition Prediction Method

2008 ◽  
Author(s):  
Karl Pettersson ◽  
Simone Crippa
Keyword(s):  
Prediction Method ◽  
Transition Prediction

Simplified linear stability transition prediction method for separated boundary layers

AIAA Journal ◽  
1992 ◽  
Vol 30 (8) ◽  
pp. 1953-1961 ◽  
Author(s):  
Paolo Dini ◽  
Michael S. Selig ◽  
Mark D. Maughmer
Keyword(s):  
Linear Stability ◽  
Boundary Layers ◽  
Prediction Method ◽  
Transition Prediction

Evaluation of Computations and Transition Prediction Method for Aircraft High-Lift Configuration

2009 ◽  
Vol 46 (5) ◽  
pp. 1487-1499 ◽  
Author(s):  
Mitsuhiro Murayama ◽  
Yuzuru Yokokawa ◽  
Kazuomi Yamamoto ◽  
Yoshine Ueda
Keyword(s):  
Prediction Method ◽  
High Lift ◽  
Transition Prediction

scholarly journals A transition prediction method for flow over airfoils based on high-order dynamic mode decomposition

2019 ◽  
Vol 32 (11) ◽  
pp. 2408-2421 ◽  
Author(s):  
Mengmeng WU ◽  
Zhonghua HAN ◽  
Han NIE ◽  
Wenping SONG ◽  
Soledad Le CLAINCHE ◽  
...  
Keyword(s):  
Prediction Method ◽  
High Order ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
Transition Prediction ◽  
Mode Decomposition

A DMD-Based Automatic Transition Prediction Method for Flows over Airfoils

2017 ◽  
Author(s):  
Meng-Meng Wu ◽  
Zhong-Hua Han ◽  
Shao-Nan Wang ◽  
Wen-Ping Song ◽  
Esteban Ferrer
Keyword(s):  
Prediction Method ◽  
Transition Prediction

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

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