Mesoscale model for fissioninduced recrystallization in U7Mo alloy
A mesoscale model is developed by integrating the rate theory and phasefield models and is used to study the fissioninduced recrystallization in U7Mo alloy. The rate theory model is used to predict the dislocation density and the recrystallization nuclei density due to irradiation. The predicted fission rate and temperature dependences of the dislocation density are in good agreement with experimental measurements. This information is used as input for the multiphase phasefield model to investigate the fissioninduced recrystallization kinetics. The simulated recrystallization volume fraction and bubble induced swelling agree well with experimental data. The effects of the fission rate, initial grain size, and grain morphology on the recrystallization kinetics are discussed based on an analysis of recrystallization growth rate using the modified Avrami equation. Here, we conclude that the initial microstructure of the UMo fuels, especially the grain size, can be used to effectively control the rate of fissioninduced recrystallization and therefore swelling.
 Authors:

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 Argonne National Lab. (ANL), Lemont, IL (United States)
 Publication Date:
 Grant/Contract Number:
 AC0206CH11357
 Type:
 Accepted Manuscript
 Journal Name:
 Computational Materials Science
 Additional Journal Information:
 Journal Volume: 124; Journal Issue: C; Journal ID: ISSN 09270256
 Publisher:
 Elsevier
 Research Org:
 Argonne National Lab. (ANL), Argonne, IL (United States)
 Sponsoring Org:
 USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC22)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 36 MATERIALS SCIENCE; fissioninduced recrystallization; U7Mo alloy; phasefield model
 OSTI Identifier:
 1366459
 Alternate Identifier(s):
 OSTI ID: 1358982
Liang, Linyun, Mei, Zhi Gang, Kim, Yeon Soo, Ye, Bei, Hofman, Gerard, Anitescu, Mihai, and Yacout, Abdellatif M. Mesoscale model for fissioninduced recrystallization in U7Mo alloy. United States: N. p.,
Web. doi:10.1016/j.commatsci.2016.07.033.
Liang, Linyun, Mei, Zhi Gang, Kim, Yeon Soo, Ye, Bei, Hofman, Gerard, Anitescu, Mihai, & Yacout, Abdellatif M. Mesoscale model for fissioninduced recrystallization in U7Mo alloy. United States. doi:10.1016/j.commatsci.2016.07.033.
Liang, Linyun, Mei, Zhi Gang, Kim, Yeon Soo, Ye, Bei, Hofman, Gerard, Anitescu, Mihai, and Yacout, Abdellatif M. 2016.
"Mesoscale model for fissioninduced recrystallization in U7Mo alloy". United States.
doi:10.1016/j.commatsci.2016.07.033. https://www.osti.gov/servlets/purl/1366459.
@article{osti_1366459,
title = {Mesoscale model for fissioninduced recrystallization in U7Mo alloy},
author = {Liang, Linyun and Mei, Zhi Gang and Kim, Yeon Soo and Ye, Bei and Hofman, Gerard and Anitescu, Mihai and Yacout, Abdellatif M.},
abstractNote = {A mesoscale model is developed by integrating the rate theory and phasefield models and is used to study the fissioninduced recrystallization in U7Mo alloy. The rate theory model is used to predict the dislocation density and the recrystallization nuclei density due to irradiation. The predicted fission rate and temperature dependences of the dislocation density are in good agreement with experimental measurements. This information is used as input for the multiphase phasefield model to investigate the fissioninduced recrystallization kinetics. The simulated recrystallization volume fraction and bubble induced swelling agree well with experimental data. The effects of the fission rate, initial grain size, and grain morphology on the recrystallization kinetics are discussed based on an analysis of recrystallization growth rate using the modified Avrami equation. Here, we conclude that the initial microstructure of the UMo fuels, especially the grain size, can be used to effectively control the rate of fissioninduced recrystallization and therefore swelling.},
doi = {10.1016/j.commatsci.2016.07.033},
journal = {Computational Materials Science},
number = C,
volume = 124,
place = {United States},
year = {2016},
month = {8}
}