Influence of Turbulence Modeling on the Secondary Flow Prediction
With the development of computer technology and the continuous improvement of numerical algorithms, higher expectation is proposed on the accuracy of numerical simulations. For the reason that turbulence still has to be modeled by more or less simplified assumptions, it hardly takes into account the complexity of the three dimensional flow inside highly loaded turbomachinery. In order to study the ability of turbulence modeling in the simulation of the secondary flow in turbine, in the present article the calculated results of different turbulence models are compared with experiment. These models include several varieties of Reynolds Stress Model and Menters SST k-ω model, and the flow field of T106 cascade is simulated. Comparison shows that, among the varieties of RSMs, the ω-equation based RSM gains a good agreement of pressure distribution on both suction surface and pressure surface, especially the Base-Line RSM. And Menters SST k-ω model with transient model gives a better prediction for both the overall loss and loss distributioa Therefore, not all varieties of RSM is good at the prediction of secondary flow loss and vortex structure, and BSL-Reynolds Stress Model and Menters SST k-ω model with transition model can offer the most reasonable prediction.
Secondary flow Secondary loss Turbulence model Reynolds Stress Model RSM SST
WEI Zuo-jun QIAO Wei-yang SHI Pei-jie ZHAO Lei
School of Power and Energy, Northwestern Polytechnical University, Xian, China
国际会议
4th International Symposium on Jet Propulsion and Power Engineering(第四届喷气推进与动力工程国际会议 ISJPPE2012)
西安
英文
165-171
2012-09-10（万方平台首次上网日期，不代表论文的发表时间）