<p>The advantage of high-entropy materials lies in their superior physical and mechanical properties. High-entropy materials lack a base element, so due to the cocktail effect (the presence of dissimilar atoms in the crystal lattice nodes), new interactions are created that contribute to the improvement of physical and mechanical properties. In such alloys, the law of self-organization and the tendency to minimize energy are clearly manifested. High-entropy alloys (HEAs) are characterized by the dependence of the phase composition on the electron concentration, mixing enthalpy, and distortion. This opens the possibility of determining the physical and mechanical properties of HEAs using initial data. This work aims to establish the feasibility of predicting the yield stress and hardness of singlephase HEAs with BCC and FCC lattices using instrumented indentation and computational methods, thereby enabling the selection of the optimal chemical composition based on the working temperature and the material’s specific weight.</p>

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Determination of the Elastic Strength and Yield Stress of Solid-Solution High-Entropy Alloys by Indentation and Calculation

  • V. F. Gorban

摘要

The advantage of high-entropy materials lies in their superior physical and mechanical properties. High-entropy materials lack a base element, so due to the cocktail effect (the presence of dissimilar atoms in the crystal lattice nodes), new interactions are created that contribute to the improvement of physical and mechanical properties. In such alloys, the law of self-organization and the tendency to minimize energy are clearly manifested. High-entropy alloys (HEAs) are characterized by the dependence of the phase composition on the electron concentration, mixing enthalpy, and distortion. This opens the possibility of determining the physical and mechanical properties of HEAs using initial data. This work aims to establish the feasibility of predicting the yield stress and hardness of singlephase HEAs with BCC and FCC lattices using instrumented indentation and computational methods, thereby enabling the selection of the optimal chemical composition based on the working temperature and the material’s specific weight.