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Vsevolod I. Razumovskiy

Publications and source records attributed to Vsevolod I. Razumovskiy.

3 recordsLinked to original sources

First-principles modeling of ordering in Fe-rich Fe-Si alloys

The atomic ordering in Fe-rich Fe-Si alloys strongly influences their magnetic properties and mechanical behavior. While general features of long-range atomic ordering are known from the experimentally established phase diagram in this composition range, detailed atomic configurations and driving forces behind them remain speculative. Here, we address this gap by using effective cluster interactions (ECI) obtained from density functional theory (DFT) calculations and subsequent statistical thermodynamics modeling to unravel the interplay between magnetism, composition, and temperature in body-centered cubic (bcc) Fe-Si alloys up to 20 at% Si. Our analysis reveals that the ordering behavior is governed by a strong coupling between magnetic order, lattice expansion, and Si concentration, with specific ECI shells switching sign or magnitude as the magnetic state changes, which is reflected in the phase equilibria and ordering behavior of Fe-Si alloys. In particular, we demonstrate that D0$_3$ ordering is, in fact, primary in the totally ordered ferromagnetic state, while the B2 type of ordering is promoted in the paramagnetic state at elevated temperatures. The temperature-dependent evolution of these ordering patterns, obtained from Monte Carlo simulations based on the magnetically resolved ECIs, reproduces the experimentally observed phase equilibria and short-range order characteristics. By explicitly linking the magnetic state with the effective interactions and macroscopic phase behavior, this work establishes a predictive framework for an ab initio-based description of ordering in Fe-rich Fe-Si alloys and highlights the decisive role of magnetism in ordering phenomena in this system.

cond-mat.mtrl-sci↗

Atomistically informed phase field study of austenite grain growth

Atomistically-informed phase field simulations have been performed to investigate the effect of five common alloying elements (Nb, Ti, Mo, V, Mn) on austenite grain growth. The anisotropic simulations based on the segregation energy profiles of the solutes to four different grain boundary (GB) types from density functional theory calculations suggest a secondary role of solute drag anisotropy on grain growth. Hence, the solute trends are determined to be the same for all investigated GBs, and as a result, the $Σ5(310)[001]$ GB can be considered as a representative GB for solute trend predictions. The decrease in grain growth rates due to solute additions is quantitatively described using a solute trend parameter. The following hierarchy of the solute's effectiveness to retard austenite grain growth has been determined based on the results of the presented model calculations in agreement with the experimental observations: Nb$>$Ti$>$Mo$>$V$\approx$Mn. The limitations and the strengths of the proposed approach are discussed in detail, and a potential application of this approach to steel design is proposed.

cond-mat.mtrl-sci↗

Modeling solute-grain boundary interactions in a bcc Ti-Mo alloy using density functional theory

Solute segregation in alloys is a key phenomenon which affects various material characteristics such as embrittlement, grain growth and precipitation kinetics. In this work, the segregation energies of Y, Zr, and Nb to a \textgreek{S}5 grain boundary in a bcc Ti-25 at \% Mo alloy were determined using density functional theory (DFT) calculations. A systematic approach was laid out by computing the solution energy distributions in the bulk alloy using Warren-Cowley short-range order parameters to find a representative bulk-solute reference energy. Additionally, different scenarios were considered when a solute atom replaces different sites in terms of their local Ti-Mo chemistry at the GB plane to calculate the distribution of segregation energies. The solute segregation to a Mo site at the GB plane is preferred rather than to a Ti site. Further analysis shows that these segregation energy trends can be rationalized based on a primarily elastic interaction. Thus the segregation energies scale with the solute size such that Y has the largest segregation energies followed by Zr and Nb.

cond-mat.mtrl-sci↗