Computational-experimental approach to prediction of mass-transfer processes in metallic coatings of gas-turbine blades and their service life

A computational-experimental approach to analysis of long-time processes of mass transfer of aluminum in metallic MCrAlY coatings of gas-turbine blades and to prediction of their service life is proposed. The approach is based on the mathematical model describing the oxidation and diffusion processes in the coating and in the alloy of a blade, the parameters of which are identified by the data of short-time experiments. The results of theoretical and experimental determination of the aluminum-concentration distributions in the coating and in the basic alloy of a gas-turbine blade and the results of prediction of the service life of the coating are presented. It is shown that this approach allows one to perform analysis of long-time processes of mass-transfer in metallic coatings of gas-turbine blades and predict their service life with a high degree of accuracy.