Study on properties of high entropy alloys reinforced with carbon nanotubes/graphene – A review
High-entropy alloys (HEAs) have attracted considerable attention owing to their distinctive properties that are superior to those of traditional alloys. This review study investigates the enhancement of HEAs through the incorporation of carbon nanotubes (CNTs) and / or graphene (Gr), with a particul...
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Veröffentlicht in: | Journal of Alloys and Metallurgical Systems 2024-12, Vol.8, p.100117, Article 100117 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | High-entropy alloys (HEAs) have attracted considerable attention owing to their distinctive properties that are superior to those of traditional alloys. This review study investigates the enhancement of HEAs through the incorporation of carbon nanotubes (CNTs) and / or graphene (Gr), with a particular emphasis on their synergistic effects on mechanical, thermal, and corrosion resistance attributes. The investigation begins with an overview of the historical evolution of HEAs and their fundamental benefits, including elevated strength-to-weight ratios, resistance to oxidation, and thermal stability. Subsequently, the article delves into the properties of CNTs and graphene, highlighting their remarkable strength and electrical conductivity. Various strengthening mechanisms in HEA-CNTs/Gr composites are presented, such as load transfer, crack bridging, and Orowan strengthening, which collectively enhance mechanical performance, rendering these composites suitable for applications in aerospace, biomedical devices, and energy storage systems. Additionally, the review identifies potential applications in electromagnetic interference shielding and power transmission conductors, attributed to the lightweight and robust characteristics of these composites. In summary, this review emphasizes the potential of HEA-CNTs/Gr composites as advanced materials across multiple industries while recommending for further research to comprehensively understand their mechanical properties and optimize their applications in real-world scenarios. |
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ISSN: | 2949-9178 2949-9178 |
DOI: | 10.1016/j.jalmes.2024.100117 |