ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Numerical prediction of optimal height of roughness strip for artificial transition on swept wings
Received date: 2015-03-03
Revised date: 2015-05-08
Online published: 2015-05-25
Supported by
National Natural Science Foundation of China(JC-201103);Aeronautical Science Foundation of China(2013ZD53057)
A brief introduction to γ-Reθ transition model based on local variables is presented. The model is applied in predicting the transition on swept wings and in determining the optimal height of the roughness strip in artificial transition and the atmospheric flight Reynolds number which can be simulated by the optimal roughness height. In order to validate the ability of γ-Reθ model in predicting transition on sweep wings, boundary layer transition on ONERA M6 wing and DLR-F4 standard model wing are predicted, Reynolds-averaged Navier-Stokes(RANS) equations are solved via structured mesh and finite volume method and skin friction coefficient distributions are acquired, thus the transition locations are acquired, which coincide well with the experimental results, conclusions can be made that the predicting results by this model are reliable. Then roughness trips are fixed on DLR-F4 standard model wing surface and transition locations are acquired via the same method, the results reveal that at Mach number of 0.785 and Reynolds number of 3×106, the optimal height of the roughness strip for artificial transition on DLR-F4 standard model wing is 0.11 mm. The simulating ability of artificial transition to atmospheric flight transition is validated by moving the transition location upward via increasing the Reynolds number, results of which indicate that models with the optimal roughness strip height can simulate atmospheric flight free transition at high Reynolds number.
TIAN Yongqiang , ZHANG Zhengke , QU Ke , ZHAI Qi . Numerical prediction of optimal height of roughness strip for artificial transition on swept wings[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016 , 37(2) : 461 -474 . DOI: 10.7527/S1000-6893.2015.0129
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