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Configurational thermodynamics of C in body-centered cubic/tetragonal Fe : A combined computational study

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Abstract Configurational thermodynamics of C in body-centered cubic (bcc) or tetragonal (bct) Fe is investigated combining several computational techniques. Pairwise C C interaction energies in bcc Fe are calculated by… Click to show full abstract

Abstract Configurational thermodynamics of C in body-centered cubic (bcc) or tetragonal (bct) Fe is investigated combining several computational techniques. Pairwise C C interaction energies in bcc Fe are calculated by density functional theory (DFT) and embedded atom method (EAM) potential respectively. The interaction between C atom and homogeneous strain is calculated assuming C acts as force dipoles in linear elastic medium of Fe. The C C and C–strain interactions are input into Monte Carlo (MC) simulations to find equilibrium C configuration on octahedral interstitial sublattices (OISs) in bcc/bct Fe and corresponding thermodynamic properties. In bcc Fe, DFT-MC and EAM-MC both give a single-phase region with C distributed with disorder on all the three OISs (α) at high temperature, and a two-phase region with ferrite and an ordered compound ( α ‴ ) at low temperature. The compound is Fe16C1 according to DFT or Fe16C2 according to EAM inputs, both having two OISs occupied. When a homogeneous tetragonal lattice strain is applied, the disordered phase exhibits a preferential sublattice occupation (Zener ordered α′), which is primarily caused by C–strain interaction and is mitigated by C C interactions. The ordered compound may also have two ( α ‴ ) or one (α″) OIS occupied. C clustering in bcc/bct Fe follows a conditional spinodal mechanism, namely long-range order being a prerequisite of spinodal decomposition. This is verified by the difference in solution thermodynamics of α/α′ (ordering-type) and α ‴ /α″ (clustering-type), as well as kinetic Ising model simulations which reveal a temporal sequence of short-range ordering, long-range ordering, and eventually C clustering.

Keywords: thermodynamics; centered cubic; configurational thermodynamics; thermodynamics body; body centered

Journal Title: Computational Materials Science
Year Published: 2018

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