Abo Bibliothek: Guest
Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen
Heat Transfer Research
Impact-faktor: 0.404 5-jähriger Impact-Faktor: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Druckformat: 1064-2285
ISSN Online: 2162-6561

Volumes:
Volumen 50, 2019 Volumen 49, 2018 Volumen 48, 2017 Volumen 47, 2016 Volumen 46, 2015 Volumen 45, 2014 Volumen 44, 2013 Volumen 43, 2012 Volumen 42, 2011 Volumen 41, 2010 Volumen 40, 2009 Volumen 39, 2008 Volumen 38, 2007 Volumen 37, 2006 Volumen 36, 2005 Volumen 35, 2004 Volumen 34, 2003 Volumen 33, 2002 Volumen 32, 2001 Volumen 31, 2000 Volumen 30, 1999 Volumen 29, 1998 Volumen 28, 1997

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

ABSTRAKT

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.


Articles with similar content:

Experimental Study and Prediction of Film Cooling Effectiveness for a Guide Vane in Heavy Gas Turbine
International Heat Transfer Conference 15, Vol.23, 2014, issue
Liang Xu, Wei Wang, Jianmin Gao, Xiaojun Shi
PREDICTION OF CRITICAL HEAT FLUX IN PWR FUEL ASSEMBLIES WITH NON-UNIFORM AXIAL HEAT FLUX DISTRIBUTION
International Heat Transfer Conference 7, Vol.9, 1982, issue
D. G. Reddy, C. Fighetti, M. Merilo
Flat Plate Film Cooling Performance Predictions by RANS Turbulence Models
ICHMT DIGITAL LIBRARY ONLINE, Vol.0, 2012, issue
S. Inanli, Tuba Okutucu-Ozyurt, O. Uzol, I. Gorgulu
Determination of Regularities of Ions and Surface Interaction by Combinatorial GMDH Algorithm
Journal of Automation and Information Sciences, Vol.35, 2003, issue 4
Andrey 0. Rogov, Grigoriy A. Ivakhnenko, Andrey B. Nadiradze, Evgeniya A. Savchenko, Alexey G. Ivakhnenko
A CORRELATION-BASED METHODOLOGY TO PREDICT THE FLOWSTRUCTURE OF FLOWS EMANATING FROM CYLINDRICAL HOLES WITH APPLICATION TO FILM COOLING
ICHMT DIGITAL LIBRARY ONLINE, Vol.0, 2009, issue
Tilman Auf Dem Kampe, Stefan Volker