Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
Heat Transfer Research
IF: 0.404 5-Year IF: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

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

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

ABSTRACT

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:

EFFECTS OF HOLE GEOMETRY ON HEAT (MASS) TRANSFER AND FILM COOLING EFFECTIVENESS
International Heat Transfer Conference 11, Vol.18, 1998, issue
Dong Ho Rhee, Hyung-Hee Cho, Byunggu Kim
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
IDENTIFICATION OF TRANSIENT INTERNAL HEAT SOURCE USING MODIFIED LEVENBERG−MARQUARDT ALGORITHM
Proceedings of the 24th National and 2nd International ISHMT-ASTFE Heat and Mass Transfer Conference (IHMTC-2017), Vol.0, 2017, issue
Shubhankar Chakraborty, P. K. Das
EFFECT OF DISTRIBUTED PHOTOVOLTAIC POWER STATION ON BUILDING COOLING LOAD IN SUMMER
International Heat Transfer Conference 16, Vol.20, 2018, issue
Jianbo Bai, Sheng Liu, Zhen Zhang, Yuying Yan
HEAT- AND MASS-TRANSFER PROCESESS IN INDIRECT EVAPORATIVE AIR CONDITIONERS THROUGH THE MAISOTSENKO CYCLE
International Journal of Energy for a Clean Environment, Vol.12, 2011, issue 2-4
Sergey Anisimov, Demis Pandelidis