Metallurgical and Materials Transactions A

, Volume 43, Issue 3, pp 1060–1069

Predicting Thermal Conductivity Evolution of Polycrystalline Materials Under Irradiation Using Multiscale Approach

Authors

    • Fundamental and Computational Science Directorate, Pacific Northwest National Laboratory
  • Yulan Li
    • Fundamental and Computational Science Directorate, Pacific Northwest National Laboratory
  • Shenyang Hu
    • Fundamental and Computational Science Directorate, Pacific Northwest National Laboratory
  • Xin Sun
    • Fundamental and Computational Science Directorate, Pacific Northwest National Laboratory
  • Mohammad Khaleel
    • Fundamental and Computational Science Directorate, Pacific Northwest National Laboratory
Article

DOI: 10.1007/s11661-011-0936-0

Cite this article as:
Li, D., Li, Y., Hu, S. et al. Metall and Mat Trans A (2012) 43: 1060. doi:10.1007/s11661-011-0936-0

Abstract

A multiscale methodology was developed to predict the evolution of thermal conductivity of polycrystalline fuel under irradiation. At the mesoscale level, a phase field model was used to predict the evolution of gas bubble microstructure. Generation of gas atoms and vacancies was taken into consideration. Gas bubbles were predicted to form, grow, and coalesce around grain boundary (GB) areas. On the macroscopic scale, a statistical continuum mechanics model was applied to predict the anisotropic thermal conductivity evolution during irradiation. Microstructures predicted by the phase field model were fed into the statistical continuum mechanics model to predict properties and behavior. A decrease of thermal conductivity during irradiation was demonstrated. The influence of irradiation flux, the exposure time, and the grain microstructure were investigated. If the initial GB microstructure was isotropic, the thermal conductivity under irradiation would be similarly isotropic. If the initial GB configuration was anisotropic, anisotropy of thermal conductivity would intensify under irradiation as gas bubbles coalesce around GB areas. The prediction of microstructure and property evolution of polycrystalline materials under irradiation by bridging two models in different scales were demonstrated successfully. This approach provides a deep understanding from a basic scientific viewpoint.

Copyright information

© The Minerals, Metals & Materials Society and ASM International (outside the USA) 2011