Phase field simulation of grain growth in porous uranium dioxide

  • Karim Ahmed
  • , Janne Pakarinen
  • , Todd Allen
  • , Anter El-Azab*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

58 Citations (Scopus)

Abstract

A novel phase field model has been developed to investigate grain growth in porous polycrystalline UO2. Based on a system of Cahn-Hilliard and Allen-Cahn equations, the model takes into consideration both the curvature driven grain boundary motion and pore migration by surface diffusion. As such, the model accounts for the interaction between pore and grain boundary kinetics, which tends to retard the growth process. The phase field model parameters are found in terms of measurable material properties. Hence, quantitative results that can be compared with experiments were obtained. The model has been used to investigate the effect of porosity on the kinetics of grain growth in UO 2. It is found that, as the amount of porosity increases, grain growth in UO2 gradually changes from boundary controlled growth to pore controlled growth. For high porosity levels, the grain growth completely stops after a short evolution time. It is also found that the inhomogeneous distribution of pores leads to abnormal grain growth even without taking into account the anisotropy in grain boundary energy and mobility. The effects of porosity, temperature and initial microstructure on grain growth were thoroughly investigated. The model predictions are in good agreement with published experimental results of grain growth in UO2.

Original languageEnglish
Pages (from-to)90-99
JournalJournal of Nuclear Materials
Volume446
Issue number1-3
DOIs
Publication statusPublished - Mar 2014
MoE publication typeA1 Journal article-refereed

Funding

This material is based upon work supported as part of the Center for Materials Science of Nuclear Fuel, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Sciences, Office of Basic Energy Sciences under award number FWP 1356, through subcontract number 00122223 at Purdue University.

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