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A predictive analytical model of thermal conductivity for aluminum/transition metal high-entropy alloys

  • Michael J. Abere
  • , Elbara Ziade
  • , Ping Lu
  • , Christopher B. Saltonstall
  • , Xiaojun Gu
  • , Wendelin J. Wright
  • , Nicolas Argibay
  • , Andrew B. Kustas

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

A predictive analytical model for the thermal conductivity of Aluminum/transition metal based high-entropy alloys based on contributions from the electron and lattice subsystems is presented. Lattice conductivity is modeled as an oscillator damped by electron-phonon and defect scattering. Electron subsystem conductivity is dominated by scattering from the aperiodic crystal potential arising from alloying atom induced lattice disorder; its effect was quantitatively calculated using a virtual crystal approximation. We show that model predictions agree with published values and for an exemplar high-entropy alloy largely based on transition (i.e., non-refractory) elements, AlxCoCrCuyFeNi. Within this alloy system, the crystal structure varies between face centered cubic and body centered cubic depending on composition and temperature, and it was found that thermal conductivity behaves as a weighted-average composite of the multiple phases.
Original languageEnglish
JournalScripta Materialia
Volume208
DOIs
StatePublished - Feb 1 2022
Externally publishedYes

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