Simulation of the Dynamics of Changing the Heat Resistance of Nickel Alloys by Machine Learning Methods

Data on the nature of changing the heat resistance of nickel alloys, which are used for making the most critical parts, is of great topicality for the design of gas turbine engines of high resource. A model of changing the heat resistance and an analytical expression that makes it possible to determine the thermal stability parameter for each alloy composition are obtained using the machine learning method. The long-term strength limit was estimated and extrapolated using the Larson–Miller temperature–time dependence. The adequacy of the obtained model is confirmed by the satisfactory convergence of the experimental and calculated results.