4.6 Article

Conjugate heat transfer investigations of turbine vane based on transition models

Journal

CHINESE JOURNAL OF AERONAUTICS
Volume 26, Issue 4, Pages 890-897

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cja.2013.04.024

Keywords

AGS and gamma-Re-theta transition models; Conjugate heat transfer; Flow and heat transfer characteristics; Temperature prediction accuracy; Transition flow

Funding

  1. National Natural Science Foundation of China [91130013]
  2. Innovation Foundation of BUAA for PhD Graduates [YWF-12-RBYJ-010]
  3. Specialized Research Fund for the Doctoral Program of Higher Education [20101102110011]

Ask authors/readers for more resources

The accurate simulation of boundary layer transition process plays a very important role in the prediction of turbine blade temperature field. Based on the Abu-Ghannam and Shaw (AGS) and gamma-Re-theta transition models, a 3D conjugate heat transfer solver is developed, where the fluid domain is discretized by multi-block structured grids, and the solid domain is discretized by unstructured grids. At the unmatched fluid/solid interface, the shape function interpolation method is adopted to ensure the conservation of the interfacial heat flux. Then the shear stress transport (SST) model, SST & AGS model and SST & gamma-Re-theta model are used to investigate the flow and heat transfer characteristics of Mark II turbine vane. The results indicate that compared with the full turbulence model (SST model), the transition models could improve the prediction accuracy of temperature and heat transfer coefficient at the laminar zone near the blade leading edge. Compared with the AGS transition model, the gamma-Re-theta model could predict the transition onset location induced by shock/boundary layer interaction more accurately, and the prediction accuracy of temperature field could be greatly improved. (C) 2013 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available