UNSTEADY SIMULATIONS OF MASSIVELY SEPARATED FLOW AROUND NACA0021 AIRFOIL USING A TRANSITIONAL IDDES MODEL

Yue Wang, Shiqiang Zhang, Wenping Song, Zhonghua Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A blended IDDES and correlation-based transition model, named as the γ-IDDES model, has been newly added in OpenFOAM v2106 to simulate the massively separated flow around NACA0021 airfoil at the angles of attack (AoAs) from 30° to 90°. Compared to the fully turbulent SST-IDDES model and the γ-SST RANS model, the γ-IDDES model can give the best predictions on the lift and drag coefficients at all the AoAs. At the AoAs of 30° and 40°, both the γ-IDDES model and the γ-SST RANS model can perform a little better than the SST-IDDES model on the predictions of lift and drag coefficients. This hints that the boundary layer transition may play a notable role in the simulation of massively separated flow by the subsequent flow analysis. When the AoAs are larger than 50°, both the γ-IDDES model and the SST-IDDES model can give accurate predictions on the lift and drag coefficients. In contrast, the γ-SST RANS model fails in the prediction of lift and drag coefficients. This illustrates that the capacity of capturing the flow structures is still essential in the simulation of massively separated flow.

Original languageEnglish
Title of host publication33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
PublisherInternational Council of the Aeronautical Sciences
Pages2094-2104
Number of pages11
ISBN (Electronic)9781713871163
StatePublished - 2022
Event33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022 - Stockholm, Sweden
Duration: 4 Sep 20229 Sep 2022

Publication series

Name33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
Volume3

Conference

Conference33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
Country/TerritorySweden
CityStockholm
Period4/09/229/09/22

Keywords

  • Correlation-based transition model
  • Hybrid RANS/LES
  • Transitional IDDES model

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