Conjugate Heat Transfer Predictions on Combined Impingement and Film Cooling of a Blade Leading Edge Model

Zhao Liu, Feng Li, Zhixin Zhang, Zhenping Feng, Terrence W. Simon

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this paper, numerical simulation is performed to predict combined impingement and film cooling on a model of the turbine blade leading edge by the heat flow coupling method. The first-stage rotor blade leading edge of the GE-E3 engine high-pressure turbine is adopted for the simulation. The relative performances of turbulence models are compared with experimental data and the results show that standard k-ω model is the best, based on simulation accuracy. The standard k-ω model is adopted for the simulation. A grid independence study is also carried out. Five different mass flow ratios and seven different film cooling hole configurations are studied in detail. The results indicate that (1) the overall film cooling effectiveness on the leading edge surface and the Nusselt number on the target surface increase with increases of coolant mass flow ratio; (2) the blade leading edge temperature decreases with an increase in mass flow ratio; and (3) the area-averaged overall film cooling effectiveness increases with a decrease in spanwise film cooling injection angle, when the injection angle is lower than 25°, while it does not change much otherwise.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalHeat Transfer Engineering
StatePublished - 2020

Bibliographical note

Funding Information:
The authors are grateful for this work supported by the National Natural Science Foundation of China (Grant No. 51406161) and National Science and Technology Major Project (2017-III-0009-0035).

Publisher Copyright:
© 2020, © 2020 Taylor & Francis Group, LLC.


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