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A review on fundamental of high entropy alloys with promising high–temperature properties

Chen, Jian, Zhou, Xueyang, Wang, Weili, Liu, Bing, Lv, Yukun, Yang, Wei, Xu, Dapeng, Liu, Yong·2018·Journal of Alloys and Compounds

Abstract

Abstract High entropy alloys (HEAs) have five or more principal elements with four core effects: high entropy, sluggish diffusion, severe lattice distortion, and cocktail effects. These effects lead to some distinct properties of HEAs. Some HEAs are promising for high temperature applications and have the potential to replace Ni-base superalloys as the next generation high-temperature materials, such as high entropy superalloys (HESAs) and refractory HEAs. The microstructures of HESAs consisting of γ and γ′ phases are similar to that of Ni-base superalloys. Refractory HEAs contain refractory elements with high melting temperatures. Thus, a number of aspects of HESAs and refractory HEAs are reviewed and discussed in the present paper, including microstructure, density, room-temperature mechanical properties, high-temperature strength, creep behavior, and oxidation resistance. Furthermore, a number of future research topics are suggested, emphasizing on developing high-performance high-temperature materials.

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Metadata

Authors
Chen, J., Zhou, X., Wang, W., Liu, B., Lv, Y., Yang, W., Xu, D., & Liu, Y.
Venue
Journal of Alloys and Compounds
Publisher
Elsevier BV
Published
2018-09
Volume
760
Pages
15-30
ISSN
0925-8388 (ISSN-L)
OpenAlex
W2802183918
Cited by
919
References
1
FWCI
33.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review on fundamental of high entropy alloys with promising high–temperature properties. https://app.cochat.ai/papers/10.1016/j.jallcom.2018.05.067
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Chen, J., Zhou, X., Wang, W., Liu, B., Lv, Y., Yang, W., Xu, D., & Liu, Y. (2018). A review on fundamental of high entropy alloys with promising high–temperature properties. Journal of Alloys and Compounds. https://doi.org/10.1016/j.jallcom.2018.05.067

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.