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Comprehensive insights into the structural, mechanical, electronic and thermodynamic properties of ε-Fe 3 Cr 4 C 3

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  • Additional Information
    • Contributors:
      Hubei Province Key Laboratory of Systems Science; Wuhan University; 111 Project; Major Program; Natural Science Foundation of Hubei Province; High Performance Computing Center of Wuhan University of Science and Technology; National Natural Science Foundation of China
    • Publication Information:
      IOP Publishing
    • Publication Date:
      2025
    • Abstract:
      The mechanical, electronic and thermodynamic properties of alloy carbide ε -Fe 3 Cr 4 C 3 under varying temperature and pressure were systematically investigated using first-principles calculations and the quasi-harmonic Debye model. ε -Fe 3 Cr 4 C 3 maintains thermodynamic and mechanical stability across the investigated pressure range. Increasing pressure enhances its thermodynamic stability and reduces elastic anisotropy. The electron density distribution indicates stronger metallic bonds under high pressure, providing an explanation for the increased Young’s modulus. Concurrently, the rise in Debye temperature implies enhanced interatomic bonding forces, correlating with improved toughness and hardness. Ultimately, the sample of ε -Fe 3 Cr 4 C 3 was prepared through mechanical alloying and sintering. The experimentally measured hardness is in basic agreement with the theoretical predictions. This work lays essential theoretical foundations for understanding and predicting the properties of ε -Fe 3 Cr 4 C 3 in high pressure and high temperature applications.
    • Accession Number:
      10.1088/2053-1591/adee7f
    • Accession Number:
      10.1088/2053-1591/adee7f/pdf
    • Online Access:
      https://doi.org/10.1088/2053-1591/adee7f
      https://iopscience.iop.org/article/10.1088/2053-1591/adee7f
      https://iopscience.iop.org/article/10.1088/2053-1591/adee7f/pdf
    • Rights:
      https://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
    • Accession Number:
      edsbas.1129ACFD