Modification of SA model for predicting airfoil flow separation
-
摘要: 采用(CFD,Computational Fluid Dynamics)软件Fluent,选取(SA,Spalart-Allmaras)模型,对风力机翼型S825进行了二维数值模拟,并与实验数据进行比较.针对SA模型不能准确预测翼型尾部流动分离的情况,分析了分离区域内湍流的强非平衡输运特性.研究表明,SA模型中系数Cb1与湍流的非平衡输运特性密切相关,进而提出了修正模型系数Cb1改进SA模型的方法,结果表明该方法能够更准确地模拟风力机翼型分离流动.Abstract: Two-dimensional numerical simulation of airfoil S825 with Spalart-Allmaras(SA) turbulent model was presented. The simulation results were compared with the experiment results. As SA turbulent model could not simulate the flow separation accurately at the rear region of the airfoil, the strongly non-equilibrium turbulence transport nature in the separate region was analyzed. The non-equilibrium turbulence transport nature was closely related to the constant Cb1 in SA model. A method of modifying the constant Cb1 was adopted in SA model, and the simulation results show that the method simulates the flow separation more accurately.
-
Key words:
- S825 /
- turbulent model /
- flow separation /
- turbulence transport nature
-
[1] 刘磊,黄典贵,徐建中.湍流模型对风力机叶片气动性能预估的影响[J].工程热物理,2009,30(7):156-161 Liu Lei,Huang Diangui,Xu Jianzhong.The impact of turbulence model for aerodynamic performance estimates of airfoil[J].Journal of Engineering Thermophysics,2009,30(7):156-161(in Chinese) [2] 马林静,陈江.风力机翼型气动特性数值模拟[J].太阳能学报,2010,31(2):45-50 Ma Linjing,Chen Jiang.Numerical simulation foraerodynamic characteristics of airfoil[J].Acta Energiae Solaris Sinica,2010,31(2):45-50(in Chinese) [3] Somers D M.Design and experimental results for the S825 airfoil .NREL/SR-500-36346,2005 [4] 任年鑫,欧进萍.大型风力机二维翼型气动性能数值模拟[J].太阳能学报,2009,30(8):1087-1091 Ren Nianxin,Ou Jinping.Numerical simulation 2D large-scale wind turbine airfoil aerodynamic performance[J].Acta Energiae Solaris Sinica,2009,30(8):1087-1091(in Chinese) [5] Spalart P R,Allmaras S R.A one-equation turbulence model for aerodynamic flows .AIAA Paper 92-0439,1992 [6] Lu L P,Wang D H,Liu Y W.Modification of S-A model for predicting corner separation flows in axial compressor .ACFD0149-T008-A-001,2010 期刊类型引用(12)
1. 刘倩,谭骁洪,李真,罗俊. 基于深度学习的半导体器件寿命预测研究进展. 环境技术. 2025(01): 37-42 . 百度学术
2. 白晏年,李小波,杨志豪,刘心怡,史尚贤. 基于变点处数据处理的剩余寿命预测. 电子测量技术. 2025(02): 108-114 . 百度学术
3. 杨家鑫,唐圣金,李良,孙晓艳,祁帅,司小胜. 基于隐含非线性维纳退化过程的剩余寿命预测. 北京航空航天大学学报. 2024(01): 328-340 . 本站查看
4. 杨保奎,李天梅,张建勋,司小胜. 基于Box-Cox变换和随机系数回归的非线性退化数据建模方法. 中国测试. 2024(01): 9-17 . 百度学术
5. WANG Fengfei,TANG Shengjin,SUN Xiaoyan,LI Liang,YU Chuanqiang,SI Xiaosheng. Remaining useful life prediction based on nonlinear random coefficient regression model with fusing failure time data. Journal of Systems Engineering and Electronics. 2023(01): 247-258 . 必应学术
6. WANG Fengfei,TANG Shengjin,LI Liang,SUN Xiaoyan,YU Chuanqiang,SI Xiaosheng. Remaining useful life prediction of aero-engines based on random-coefficient regression model considering random failure threshold. Journal of Systems Engineering and Electronics. 2023(02): 530-542 . 必应学术
7. 张会霞,梁彦,马超雄,汪冕,乔殿峰. 数据和知识驱动的空战目标集群类型综合识别. 航空学报. 2023(08): 222-237 . 百度学术
8. 杨保奎,张建勋,李慧琴,司小胜. 基于Box-Cox变换与随机系数回归模型的非线性退化设备剩余寿命预测方法. 航空学报. 2023(11): 199-211 . 百度学术
9. 杨家鑫,唐圣金,李良,孙晓艳,祁帅,司小胜. 基于多源信息的隐含非线性维纳退化过程剩余寿命预测. 航空学报. 2023(12): 175-192 . 百度学术
10. 王凤飞,唐圣金,孙晓艳,祁帅,于传强,司小胜. 考虑随机效应的多源信息融合剩余寿命预测. 北京航空航天大学学报. 2023(11): 3075-3085 . 本站查看
11. 许晓东,唐圣金,谢建,于传强,王凤飞,韩洋洋. 随机退化应力作用下设备剩余寿命预测方法. 兵工学报. 2022(03): 712-719 . 百度学术
12. 郭晓静,殷宇萱,贠玉晶. 基于改进LSTM的航空发动机寿命预测方法研究. 机床与液压. 2022(20): 185-193 . 百度学术
其他类型引用(7)
-

计量
- 文章访问数: 2004
- HTML全文浏览量: 244
- PDF下载量: 700
- 被引次数: 19