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University of Illinois at Urbana-Champaign

Solute transport in magnesium and their uncertainty quantification using density functional theory and green function approach

Abstract

dc:description

Predictive control of alloy processing requires an accurate knowledge of the thermodynamic and the kinetic information of the system for microstructure simulation. Phenomena such as solute segregation or growth of precipitates occur regularly during alloy processing which involves transport or diffusion of solutes. We investigate interstitial and vacancy-mediated solute transport in the hexagonal close-packed Mg. We utilize density functional theory calculations to determine the energies of interstitials and solute-vacancy configurations, which inform our diffusion model. The diffusion of light elemental solutes B, C, N, and O is investigated by determining their stable interstitial sites and the interpenetrating network formed by these sites. We employ the elastodiffusion tensor to determine the effect of strains on diffusion and find that B, C, and N diffusivity increases with volumetric crystal expansion, while O diffusivity decreases. The vacancy-mediated solute diffusion requires the jump network of vacancy near and away from the solute but the existing diffusion models oversimplify this jump network, severely affecting the accuracy of the transport coefficients. We identify all the symmetry-unique vacancy jumps in the Mg lattice and use our Green function approach to generate the transport database for 61 solutes. Our predictions of solute diffusion coefficients agree well with the available experimental measurements. We also study drag ratios which quantify the drag of solutes by vacancies, and the ring network topologies elucidate their mechanisms. We develop a Bayesian framework to quantify uncertainties in transport coefficients and use it to study uncertainties in transport coefficients due to approximate treatment of electronic exchange and correlation in DFT computed energies.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Materials Science & Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Agarwal, Ravi
Contributors dc:contributor
  • Trinkle, Dallas R.
  • Bellon, Pascal
  • Ertekin, Elif
  • Krogstad, Jessica A.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 2018 Ravi Agarwal
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/101640
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/101640

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Agarwal, Ravi. Solute transport in magnesium and their uncertainty quantification using density functional theory and green function approach. Dissertation thesis, University of Illinois at Urbana-Champaign, 2018. http://hdl.handle.net/2142/101640