Cascades Damage in γ-Iron from Molecular Dynamics Simulations

Article Preview

Abstract:

The degradation of austenitic stainless steels under irradiation environment is a known problem for nuclear reactors, which starts from atoms displacement cascade. Here, molecular dynamics (MD) simulations have been used to investigate the formation of atomic displacement cascade in γ-iron for energies of the primary knock-on atom (PKA) up to 40 keV at 300 K. The number of Frenkel pairs increased sharply until a peak value was reached, which occurred at a time in the range of 0.1-2 ps. After that, a number of defects gradually decreased and became stabilized. Compared with α-iron, there was less defects in the stable stage, and more clustered defects were produced in γ-iron. Within the range of PKA energies, two regimes of power-law energy-dependence of the defect production were observed, which converge on 16.8 keV. The transition energy also marks the onset of the formation of large self-interstitial atom (SIA) clusters and vacancy clusters. Interstitial and vacancy clusters were in the form of Shockley, Frank dislocation loops and Stir-Rod dislocation loops.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1011-1016

Citation:

Online since:

May 2020

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2020 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Roberts J T A. Structural materials in nuclear power systems. Springer Science & Business Media, (2013).

Google Scholar

[2] Ma, B.M., Nuclear reactor materials and applications. 1983, United States: Van Nostrand Reinhold.

Google Scholar

[3] Bacon D J, Osetsky Y N, Stoller R, et al. Journal of Nuclear Materials, 2003, 323(2-3): 152-162.

Google Scholar

[4] Bacon D J, Gao F, Osetsky Y N. Journal of Nuclear Materials, 2000, 276(1-3): 1-12.

Google Scholar

[5] Terentyev D A, Malerba L, Chakarova R, et al. Journal of nuclear materials, 2006, 349(1-2): 119-132.

Google Scholar

[6] Terentyev D, Zinovev A, Bonny G. Journal of Nuclear Materials, 2016, 475: 132-139.

Google Scholar

[7] Bonny G, Castin N, Terentyev D. Modelling and Simulation in Materials Science and Engineering, 2013, 21(8): 085004.

Google Scholar

[8] Béland L K, Tamm A, Mu S, et al. Computer Physics Communications, 2017, 219: 11-19.

Google Scholar

[9] Information on https://lammps.sandia.gov/.

Google Scholar

[10] Stukowski A. Modelling and Simulation in Materials Science and Engineering, 2009, 18(1): 015012.

Google Scholar

[11] Stoller R E, Odette G R, Wirth B D. Journal of Nuclear Materials, 1997, 251: 49-60.

Google Scholar

[12] Klaver T P C, Hepburn D J, Ackland G J. Physical Review B, 2012, 85(17): 174111.

Google Scholar

[13] Bacon D J, Calder A F, Gao F, et al. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 1995, 102(1-4): 37-46.

DOI: 10.1016/0168-583x(95)80114-2

Google Scholar

[14] Gan J, Was G S, Stoller R E. Journal of Nuclear Materials, 2001, 299(1): 53-67.

Google Scholar