Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Phase-field simulation of radiation-induced bubble evolution in recrystallized U-Mo alloy

  • Jiang, Yanbo (Department of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Xin, Yong (Science and Technology on Reactor System Design Technology Laboratory) ;
  • Liu, Wenbo (Department of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Sun, Zhipeng (Science and Technology on Reactor System Design Technology Laboratory) ;
  • Chen, Ping (Science and Technology on Reactor System Design Technology Laboratory) ;
  • Sun, Dan (Science and Technology on Reactor System Design Technology Laboratory) ;
  • Zhou, Mingyang (Science and Technology on Reactor System Design Technology Laboratory) ;
  • Liu, Xiao (Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics) ;
  • Yun, Di (Department of Nuclear Science and Technology, Xi'an Jiaotong University)
  • Received : 2021.01.25
  • Accepted : 2021.07.19
  • Published : 2022.01.25
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Abstract

In the present work, a phase-field model was developed to investigate the influence of recrystallization on bubble evolution during irradiation. Considering the interaction between bubbles and grain boundary (GB), a set of modified Cahn-Hilliard and Allen-Cahn equations, with field variables and order parameters evolving in space and time, was used in this model. Both the kinetics of recrystallization characterized in experiments and point defects generated during cascade were incorporated in the model. The bubble evolution in recrystallized polycrystalline of U-Mo alloy was also investigated. The simulation results showed that GB with a large area fraction generated by recrystallization accelerates the formation and growth of bubbles. With the formation of new grains, gas atoms are swept and collected by GBs. The simulation results of bubble size and distribution are consistent with the experimental results.

Keywords

Acknowledgement

Financial support provided by the NSAF Joint Fund (No. U1830124), National Natural Science Foundation of China (No. 11675154, 11675126, 11705137) and China Postdoctoral Science Foundation (No. 2019M663738) is acknowledged.

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