journal article·2024-12

Revealing the oxidation behavior of AlCrxFeNi lightweight multi-principal element alloys via experimental and first-principles calculations

K.W. Kang, A.X. Li, J.S. Zhang, M.K. Xu, D. Huang, C.N. Che, S.K. Liu, Y.T. Jiang, Y.Q. Li, G. Li

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Abstract

Developing alloys capable of withstanding high temperatures is crucial for modern engineering applications. Introducing multi-component alloys (MPEAs) has provided new strategies for designing high-temperature alloys. We have successfully prepared a series of AlCr xFeNi lightweight MPEAs in this study. The oxidation behavior of AlC xFeNi lightweight at 800 °C was investigated systematically through a combination of experimental methods and first-principles calculations. The microstructure characterization before oxidation reveals that the lightweight AlCr xFeNi MPEAs consist of BCC and B2 phases. In contrast, the AlCrFeNi alloy exhibited a microstructure characterized by typical eutectic features. Oxidation tests indicate that all three alloys exhibited oxidation kinetics following a parabolic law, with oxidation rates decreasing as the Cr content increased. Post-oxidation microstructural characterization revealed an oxide layer composed primarily of Al 2O 3 and Cr 2O 3 on the alloy surfaces. First-principles calculations provided insights into the microscopic mechanisms underlying the oxidation process. The results demonstrate that the adsorption energy of the O atom at the top position of the Cr atom is significantly lower than that of the Al atom at the top position. Electronic structure analysis shows that the Cr-O covalent bonding is stronger than the Al-O covalent bonding, which accounts for the oxidation resistance improvement as the Cr element content increases. This study advances MPEAs for high-temperature environments by elucidating these microscopic mechanisms.
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Research context

OpenAlex topics: High-Temperature Coating Behaviors · High Entropy Alloys Studies · Intermetallics and Advanced Alloy Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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