Application of the Protective Coating for Blade’s Thermal Protection

Andrzej Frąckowiak, Aleksander Olejnik, Agnieszka Wróblewska and Michał Ciałkowski
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Andrzej Frąckowiak: Institute of Thermal Engineering, Poznan University of Technology, 60-965 Poznan, Poland
Aleksander Olejnik: Faculty of Mechatronics and Aerospace, Military University of Technology, 00-908 Warsaw, Poland
Agnieszka Wróblewska: Institute of Thermal Engineering, Poznan University of Technology, 60-965 Poznan, Poland
Michał Ciałkowski: Institute of Thermal Engineering, Poznan University of Technology, 60-965 Poznan, Poland

Energies, 2020, vol. 14, issue 1, 1-14

Abstract: This paper presents an algorithm applied for determining temperature distribution inside the gas turbine blade in which the external surface is coated with a protective layer. Inside the cooling channel, there is a porous material enabling heat to be transferred from the entire volume of the channel. This algorithm solves the nonlinear problem of heat conduction with the known: heat transfer coefficient on the external side of the blade surface, the temperature of gas surrounding the blade, coefficients of heat conduction of the protective coating and of the material the blade is made of as well as of the porous material inside the channel, the volumetric heat transfer coefficient for the porous material and the temperature of the air flowing through the porous material. Based on these data, the distribution of material porosity is determined in such a way that the temperature on the boundary between the protective coating and the material the blade is made of is equal to the assumed distribution T o . This paper includes results of calculations for various thicknesses of the protective coating and the given constant values of temperature on the boundary between the protective coating and the material the blade is made of.

Keywords: the inverse problem of heat conduction; cooling of gas turbine blades; porous material (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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