| Literature DB >> 34282167 |
Rémi Delaporte-Mathurin1,2, Mykola Ialovega3, Etienne A Hodille3, Jonathan Mougenot4, Yann Charles4, Elodie Bernard3, Céline Martin5, Christian Grisolia3.
Abstract
Helium diffusion, clustering and bubble nucleation and growth is modelled using the finite element method. The existing model from Faney et al. (Model Simul Mater Sci Eng 22:065010, 2018; Nucl Fusion 55:013014, 2015) is implemented with FEniCS and simplified in order to greatly reduce the number of equations. A parametric study is performed to investigate the influence of exposure conditions on helium inventory, bubbles density and size. Temperature is varied from 120 K to 1200 K and the implanted flux of 100 eV He is varied from [Formula: see text] to [Formula: see text]. Bubble mean size increases as a power law of time whereas the bubble density reaches a maximum. The maximum He content in bubbles was approximately [Formula: see text] He at [Formula: see text]. After 1 h of exposure, the helium inventory varies from [Formula: see text] at low flux and high temperature to [Formula: see text] at high flux and low temperature. The bubbles inventory varies from [Formula: see text] bubbles m[Formula: see text] to [Formula: see text] bubbles m[Formula: see text]. Comparison with experimental measurements is performed. The bubble density simulated by the model is in quantitative agreement with experiments.Entities:
Year: 2021 PMID: 34282167 DOI: 10.1038/s41598-021-93542-9
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379