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Heat Transfer Research
Facteur d'impact: 0.404 Facteur d'impact sur 5 ans: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Imprimer: 1064-2285
ISSN En ligne: 2162-6561

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Heat Transfer Research

DOI: 10.1615/HeatTransRes.2014007180
pages 643-657

ROBUST MODEL FOR PREDICTING THE AVERAGE FILM COOLING HEAT TRANSFER COEFFICIENT OVER A TURBINE BLADE BASED ON THE FINITE VOLUME STUDY

M. Payandehdoost
Mechanical Engineering Department, Faculty of Engineering, University of Guilan, Rasht 3756, Iran
Nima Amanifard
Mechanical Engineering Department, Faculty of Engineering, University of Guilan, Rasht, Iran
M. Naghashnejad
Mechanical Engineering Department, Faculty of Engineering, University of Guilan, Rasht 3756, Iran
H. M. Deylami
Faculty of Technology and Engineering, East of Guilan, University of Guilan, Rudsar, Iran

RÉSUMÉ

In this paper, a 2D numerical approach was implemented to analyze the effect of parameters on the compressible turbulent film cooling performed by slot injection over a VKI rotor blade. In this connection, the flow and thermal fields were evaluated using the blowing ratio, total temperature of a coolant jet, injection angle, and the location of injection slots on the blade surface. The computational domain with a hybrid mesh system could provide the required foundations for using the realizable k−ε turbulence model as well as the SIMPLE algorithm. Finally, the group method of data handling (GMDH)-type neural networks which were optimized by the genetic algorithms have been successfully used to present separate polynomial relations for the area-weighted average film cooling heat transfer coefficient. The effective geometrical and flow parameters were separately involved on the pressure and suction sides of the film cooled blade. The achieved polynomials demonstrate the remarkable reliability of modeling in prediction of the film cooling heat transfer coefficient in terms of minimum training and prediction errors.


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