4.5 Article

Exploring the Compositional Space of High-Entropy Alloys for Cost-Effective High-Temperature Applications

期刊

FRONTIERS IN MATERIALS
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmats.2021.816610

关键词

high-entropy alloys; first-principles simulation; mechanical and thermal properties; solid-solution hardening; multi-objective optimization

资金

  1. Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN'2016'06 114]
  2. New Frontiers in Research Fund [NFRFE'2019'01 095]
  3. Advanced Research Computing at the University of British Columbia

向作者/读者索取更多资源

High-entropy alloys (HEAs) are nearly equimolar multi-principal element alloys that exhibit exceptional thermal and mechanical properties. This study explores the effects of non-equimolar compositions and substitutions of Mo and Nb on the performance of CrMnFeCoNi HEAs. The findings suggest that replacing Co with Fe reduces cost, reducing the Ni concentration improves thermal insulation, and reducing Mn concentration enhances heat dissipation. Substituting Nb and Mo increases mechanical performance but also raises cost and density.
High-entropy alloys (HEAs) are nearly equimolar multi-principal element alloys, exhibiting exceptional thermal and mechanical properties at extreme conditions such as high-temperatures and stresses. Since the first discovery and early conceptualization of conventional HEAs nearly two decades ago, HEAs with far-from-equimolar compositions have attracted substantial interest to provide a broader range of material properties and to adjust price fluctuations and availability of commodities. Here, we present a first-principles investigation of non-equimolar chromium-manganese-iron-cobalt-nickel (CrMnFeCoNi) HEAs and effects of molybdenum (Mo) and niobium (Nb) substitutions on cost, phase stability and solubility, and mechanical and thermal performance up to 1000 K operational temperature. Virtual-crystal approximation is used to expediently approximate random solid solutions at the disordered mean-field limit. Using multi-objective metaheuristics built on a first-principles database, golden compositions are predicted for thermally well-insulated components and effective heat sinks. Replacing Co with Fe lowers commodity costs without hindering phase stability and solubility. Lower Ni concentration leads to lower thermal conductivity, indicating better thermal insulation, while reducing Mn concentration significantly increases the thermal conductivity, indicating better performing heat sinks. Moving away from equimolar ratios commonly increases the thermal expansion coefficient, which could generate higher thermal stresses. Nb and Mo substitution always lead to substantially higher commodity cost and density but with an increment in the mechanical performance due to solid-solution hardening. However, alloying with Mo and Nb is the only compositional space that reduces the thermal conductivity and thermal expansion coefficient.

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