Application of artificial neural network for the heat transfer investigation around a high-pressure gas turbine rotor blade

Ibrahim Eryilmaz, Sinan Inanli, Baris Gumusel, Suha Toprak, Cengiz Camci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper presents the preliminary results of using artificial neural networks in the prediction of gas side convective heat transfer coefficients on a high pressure turbine blade. The artificial neural network approach which has three hidden layers was developed and trained by nine inputs and it generates one output. Input and output data were taken from an experimental research program performed at the von Karman Institute for Fluid Dynamics by Camci and Arts [5,6] and Camci [7]. Inlet total pressure, inlet total temperature, inlet turbulence intensity, inlet and exit Mach numbers, blade wall temperature, incidence angle, specific location of measurement and suction/pressure side specification of the blade were used as input parameters and calculated heat transfer coefficient around a rotor blade used as output. After the network is trained with experimental data, heat transfer coefficients are interpolated for similar experimental conditions and compared with both experimental measurements and CFD solutions. CFD analysis was carried out to validate the algorithm and to determine heat transfer coefficients for a closely related test case. Good agreement was obtained between CFD results and neural network predictions.

Original languageEnglish (US)
Title of host publicationASME 2011 Turbo Expo
Subtitle of host publicationTurbine Technical Conference and Exposition, GT2011
Pages521-527
Number of pages7
EditionPARTS A AND B
DOIs
Publication statusPublished - Dec 1 2011
EventASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011 - Vancouver, BC, Canada
Duration: Jun 6 2011Jun 10 2011

Publication series

NameProceedings of the ASME Turbo Expo
NumberPARTS A AND B
Volume5

Other

OtherASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011
CountryCanada
CityVancouver, BC
Period6/6/116/10/11

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Eryilmaz, I., Inanli, S., Gumusel, B., Toprak, S., & Camci, C. (2011). Application of artificial neural network for the heat transfer investigation around a high-pressure gas turbine rotor blade. In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011 (PARTS A AND B ed., pp. 521-527). (Proceedings of the ASME Turbo Expo; Vol. 5, No. PARTS A AND B). https://doi.org/10.1115/GT2011-46340