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

Abstract

A multiscale methodology was developed to predict the evolution of thermal conductivity of polycrystalline fuel under irradiation. In the mesoscale level, phase field model was used to predict the evolution of gas bubble microstructure. Generation of gas atoms and vacancies were taken into consideration. In the macroscopic scale, a statistical continuum mechanics model was applied to predict the anisotropic thermal conductivity evolution during irradiation. Microstructure predicted by phase field model was fed into statistical continuum mechanics model to predict properties and behavior. Influence of irradiation intensity, exposition time and morphology were investigated. This approach provides a deep understanding on microstructure evolution and property prediction from a basic scientific viewpoint.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1049021
Report Number(s):
PNNL-SA-75019
Journal ID: ISSN 1073-5623; MMTAEB; AF5831060; TRN: US1204351
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science
Additional Journal Information:
Journal Volume: 43; Journal Issue: 3; Journal ID: ISSN 1073-5623
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; ATOMS; BUBBLES; FORECASTING; IRRADIATION; MICROSTRUCTURE; MORPHOLOGY; THERMAL CONDUCTIVITY; VACANCIES; multiscale, thermal conductivity, nuclear materials, phase field model, statistical continuum model

Citation Formats

Li, Dongsheng, Li, Yulan, Hu, Shenyang Y., Sun, Xin, and Khaleel, Mohammad A. Predicting Thermal Conductivity Evolution of Polycrystalline Materials Under Irradiation Using Multiscale Approach. United States: N. p., 2012. Web. doi:10.1007/s11661-011-0936-0.
Li, Dongsheng, Li, Yulan, Hu, Shenyang Y., Sun, Xin, & Khaleel, Mohammad A. Predicting Thermal Conductivity Evolution of Polycrystalline Materials Under Irradiation Using Multiscale Approach. United States. doi:10.1007/s11661-011-0936-0.
Li, Dongsheng, Li, Yulan, Hu, Shenyang Y., Sun, Xin, and Khaleel, Mohammad A. Thu . "Predicting Thermal Conductivity Evolution of Polycrystalline Materials Under Irradiation Using Multiscale Approach". United States. doi:10.1007/s11661-011-0936-0.
@article{osti_1049021,
title = {Predicting Thermal Conductivity Evolution of Polycrystalline Materials Under Irradiation Using Multiscale Approach},
author = {Li, Dongsheng and Li, Yulan and Hu, Shenyang Y. and Sun, Xin and Khaleel, Mohammad A.},
abstractNote = {A multiscale methodology was developed to predict the evolution of thermal conductivity of polycrystalline fuel under irradiation. In the mesoscale level, phase field model was used to predict the evolution of gas bubble microstructure. Generation of gas atoms and vacancies were taken into consideration. In the macroscopic scale, a statistical continuum mechanics model was applied to predict the anisotropic thermal conductivity evolution during irradiation. Microstructure predicted by phase field model was fed into statistical continuum mechanics model to predict properties and behavior. Influence of irradiation intensity, exposition time and morphology were investigated. This approach provides a deep understanding on microstructure evolution and property prediction from a basic scientific viewpoint.},
doi = {10.1007/s11661-011-0936-0},
journal = {Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science},
issn = {1073-5623},
number = 3,
volume = 43,
place = {United States},
year = {2012},
month = {3}
}