Genevalization and validation of γ-Re_θt-CF transition modeling in combination with Spalart-Allmaras turbulence model

One of the major 3D transition mechanisms is transition due to crossflow (CF) instability. The γ-Re_θt-CF transition model is a local correlation-based approach for prediction of transition caused either by Tollmien-Schlichting steamwise instability or crossflow instability. In order to improve the efficiency, γ-Re_θt-CF-SA model is coupled with the one-equation Spalart-Allmaras (SA) turbulence model, and is then implemented in open-source Standford University Unstructured (SU²), a platform for computational fluid dynamics analyses. In order to validate and assess prediction accuracy of new model, a series of transition flows are simulated including NLF(2)-0415 swept airfoil and 6: 1 prolate spheroid standard model. Computation results using γ-Re_θt-CF-SA model are in good agreement with available experimental data, far superior to those using original γ-Re_θt model. Model proposed can effectively predict location of crossflow instability transition.