This study investigates the aerodynamic performance of a low-pressure turbine, namely the T106C, by large eddy simulation (LES) and coarse grid direct numerical simulation (CDNS) at a Reynolds number of 100,000. Existing experimental data were used to validate the computational fluid dynamics (CFD) tool. The effects of subgrid scale (SGS) models, mesh densities, computational domains and boundary conditions on the CFD predictions are studied. On the blade suction surface, a separation zone starts at a location of about 55% along the suction surface. The prediction of flow separation on the turbine blade is always found to be difficult and is one of the focuses of this work. The ability of Smagorinsky and wall-adapting local eddy viscosity (WALE) model in predicting the flow separation is compared. WALE model produces better predictions than the Smagorinsky model. CDNS produces very similar predictions to WALE model. With a finer mesh, the difference due to SGS models becomes smaller. The size of the computational domain is also important. At blade midspan, three-dimensional (3D) features of the separated flow have an effect on the downstream flows, especially for the area near the reattachment. By further considering the effects of endwall secondary flows, a better prediction of the flow separation near the blade midspan can be achieved. The effect of the endwall secondary flow on the blade suction surface separation at the midspan is explained with the analytical method based on the Biot–Savart Law.
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January 2018
Research-Article
Large Eddy Simulation and CDNS Investigation of T106C Low-Pressure Turbine
Chao Zhou,
Chao Zhou
State Key Laboratory for Turbulence and
Complex Systems,
College of Engineering,
BIC-EAST,
Peking University,
Beijing 100871, China;
Collaborative Innovation Center of
Advanced Aero-Engine,
Beijing 100191, China
e-mail: czhou@pku.edu.cn
Complex Systems,
College of Engineering,
BIC-EAST,
Peking University,
Beijing 100871, China;
Collaborative Innovation Center of
Advanced Aero-Engine,
Beijing 100191, China
e-mail: czhou@pku.edu.cn
Search for other works by this author on:
Zhenhua Xia,
Zhenhua Xia
School of Aeronautics and Astronautics,
Zhejiang University,
Hangzhou 310058, China
e-mail: xiazh1006@gmail.com
Zhejiang University,
Hangzhou 310058, China
e-mail: xiazh1006@gmail.com
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Shiyi Chen
Shiyi Chen
College of Engineering,
Southern University of
Science and Technology,
Shenzhen 518055, China
e-mail: sycpku@163.com
Southern University of
Science and Technology,
Shenzhen 518055, China
e-mail: sycpku@163.com
Search for other works by this author on:
Site Hu
Chao Zhou
State Key Laboratory for Turbulence and
Complex Systems,
College of Engineering,
BIC-EAST,
Peking University,
Beijing 100871, China;
Collaborative Innovation Center of
Advanced Aero-Engine,
Beijing 100191, China
e-mail: czhou@pku.edu.cn
Complex Systems,
College of Engineering,
BIC-EAST,
Peking University,
Beijing 100871, China;
Collaborative Innovation Center of
Advanced Aero-Engine,
Beijing 100191, China
e-mail: czhou@pku.edu.cn
Zhenhua Xia
School of Aeronautics and Astronautics,
Zhejiang University,
Hangzhou 310058, China
e-mail: xiazh1006@gmail.com
Zhejiang University,
Hangzhou 310058, China
e-mail: xiazh1006@gmail.com
Shiyi Chen
College of Engineering,
Southern University of
Science and Technology,
Shenzhen 518055, China
e-mail: sycpku@163.com
Southern University of
Science and Technology,
Shenzhen 518055, China
e-mail: sycpku@163.com
1Corresponding author.
Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received January 19, 2017; final manuscript received May 23, 2017; published online October 4, 2017. Assoc. Editor: Daniel Livescu.
J. Fluids Eng. Jan 2018, 140(1): 011108 (12 pages)
Published Online: October 4, 2017
Article history
Received:
January 19, 2017
Revised:
May 23, 2017
Citation
Hu, S., Zhou, C., Xia, Z., and Chen, S. (October 4, 2017). "Large Eddy Simulation and CDNS Investigation of T106C Low-Pressure Turbine." ASME. J. Fluids Eng. January 2018; 140(1): 011108. https://doi.org/10.1115/1.4037489
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