4.7 Article

Displacement cascades in Fe-Ni-Mn-Cu alloys: RVP model alloys

期刊

JOURNAL OF NUCLEAR MATERIALS
卷 475, 期 -, 页码 132-139

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jnucmat.2016.04.005

关键词

-

资金

  1. IAEA

向作者/读者索取更多资源

Primary damage due to displacement cascades (10-100 keV) has been assessed in Fe-1%Mn-1%Ni-0.5% Cu and its binary alloys by molecular dynamics (MD), using a recent interatomic potential, specially developed to address features of the Fe-Mn-Ni-Cu system in the dilute limit. The latter system represents the model matrix for reactor pressure vessel steels. The applied potential reproduces major interaction features of the solutes with point defects in the binary, ternary and quaternary dilute alloys. As compared to pure Fe, the addition of one type of a solute or all solutes together does not change the major characteristics of primary damage. However, the chemical structure of the self-interstitial defects is strongly sensitive to the presence and distribution of Mn and Cu in the matrix. 20 keV cascades were also studied in the Fe-Ni-Mn-Cu matrix containing < 100 > dislocation loops (with density of 10(24) m(-3) and size 2 nm). Two solute distributions were investigated, namely: a random one and one obtained by Metropolis Monte Carlo simulations from our previous work. The presence of the loops did not affect the defect production efficiency but slightly reduced the fraction of isolated self-interstitials and vacancies. The cascade event led to the transformation of the loops into 1/2 < 111 > glissile configurations with a success rate of 10% in the matrix with random solute distribution, while all the pre-created loops remain stable if the alloy's distribution was applied using the Monte-Carlo method. This suggests that solute segregation to loops stabilizes the pre-existing loops against transformation or migration induced by collision cascades. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据