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QI Qiong, HAN Qing. Prediction Method of Cross-Flow Instabilities-Induced Transition Based on Spalart-Allmaras-γ-¯Reθt Transition Model[J]. PHYSICS OF GASES, 2016, 1(3): 19-24.
Citation: QI Qiong, HAN Qing. Prediction Method of Cross-Flow Instabilities-Induced Transition Based on Spalart-Allmaras-γ-¯Reθt Transition Model[J]. PHYSICS OF GASES, 2016, 1(3): 19-24.

Prediction Method of Cross-Flow Instabilities-Induced Transition Based on Spalart-Allmaras-γ-¯Reθt Transition Model

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  • Received Date: January 04, 2016
  • Revised Date: January 27, 2016
  • Published Date: May 19, 2016
  • The prediction of cross-flow instabilities transition phenomenon is difficult to be combined with modern CFD parallel computation using traditional stability theory. To solve this problem, on the basis of SA-γ-¯Reθt transition model, a new transition model was presented in this paper, which solved cross-flow displacement thickness Reynolds number locally using three-dimentional boundary layer similar solution and also set cross-flow instabilities transition criterion referring to C1-criterion. Thereby, it can solve the cross-flow instabilities transition prediction method locally and parallelly. Then, the streamwsie transition of NLF(1)-0416 airfoil was predicted to prove the validity of present SA-γ-¯Reθt -CF transition model. Adopting this model, numerical simulations of cross-flow instabilities transition were conducted for both infinite swept NLF(2)-0415 wing and standard 6:1 prolate spheroid. Computing results show that calculating transition locations are in good agreement with experimental data, which demonstrates the rationality of the model presented.
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