Experimental/Computational Study to Identify Sources of Clusters in Pitching Airfoil Measurements
| Autor: | Steven A. Tran, Manikandan Ramasamy, Jayanarayanan Sitaraman |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | AIAA Journal. 61:189-205 |
| ISSN: | 1533-385X 0001-1452 |
| Popis: | This paper describes a combined experimental and computational effort to characterize the cycle-to-cycle variations previously observed in oscillating airfoil experiments. It is common in the dynamic stall community to assume that the variation in loads between pitch cycles is primarily due to turbulent fluctuations, which in turn justifies the assumption that the loads can be accurately represented using simple phase averages. However this work, which numerically and experimentally models an oscillating modified VR-12 airfoil at two different conditions, shows that various aspects ranging from model setup to inherent fluid dynamics may lead to furcation in the loads that can have first-order impacts on the flow. These clusters of loads are poorly represented by simple phase averaging techniques and require special consideration. This study successfully captures dynamic stall furcation using computational fluid dynamics (CFD) and shows good agreement for cluster-averaged quantities when compared with experimental data. Furthermore, this work also presents several lessons learned concerning best practices for the dynamic stall community toward improving future correlations between CFD and experimental data and the quality of future dynamic stall datasets in general. |
| Databáze: | OpenAIRE |
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