Abstract
Purpose. Obtaining predictive regression models with which one can adequately calculate the critical temperatures for monocrystalline nickel-base superalloy without conducting previous experiments.Methods of research. Experimental values were processed in the Microsoft Office program suite in the EXCEL package with the least squares method, with the obtaining of the “parameter-property” correlation dependencies with the obtaining of mathematical equations of regression models that optimally describe these dependencies and the construction of trend lines.Results. The simulation of temperature characteristics of monocrystalline nickel-base superalloy is carried out. The ratios of doping elements and regression models are indicated, with the help of which it is possible to predict the width of the temperature interval of crystallization and the optimum temperature of homogenization for an alloy.Scientific novelty. For the first time, the relations Kγ′ and Kγ are proposed, by which one can adequately predict the temperature characteristics for multicomponent compositions of monocrystalline nickel-base superalloys. For the first time, regression models are presented for calculating critical temperatures tп.р, tевт, tS, and tL which enable to predict temperature intervals of crystallization and homogenization.Practical value. An effective solution is proposed for prediction of thermodynamic stability of alloys phases both in the development of new compositions of nickel-base superalloys, as well as in the improvement of well-known industrial brands.
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