高温合金
材料科学
镍
相(物质)
理论(学习稳定性)
冶金
热力学
单晶
微观结构
结晶学
计算机科学
化学
机器学习
物理
有机化学
作者
А. А. Глотка,В. Е. Ольшанецкий
出处
期刊:International Journal of Materials Research
[De Gruyter]
日期:2021-10-01
卷期号:112 (10): 794-799
被引量:5
标识
DOI:10.1515/ijmr-2021-8328
摘要
Abstract The purpose of the investigation was to obtain the predictive regression models that help correct the calculation of the mechanical properties of single crystal nickel-based superalloys without conducting prior experiments. The paper considers the influence of alloying elements on their tendency to form phases in foundry nickel-based superalloys. Using the elements influence on the phase formation, the coefficient K c’ of the ratio of alloying elements for this class of alloys was set for the first time. We have revealed the short correlation of the ratio K c’ with the dimensional misfit of γ and γ’ crystal lattices. Also, a high probability to predict the misfit for multicomponent nickel systems is shown, which significantly affected the strength properties. The regression models of correlation dependencies on the dimensional γ/γ’- misfit were offered to predict the short-term and long-term limits of the strength of alloys. We determined the operating temperature at which the misfit value should decrease to zero. The structure stability should increase because of the structural stresses minimizing. This has a positive effect on strength and plastic properties.
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