期刊
NUCLEAR MATERIALS AND ENERGY
卷 31, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.nme.2022.101205
关键词
Tungsten; Fuzz; Porosity; Kinetic Monte Carlo
资金
- National MCF Energy R&D Program of China [2018YFE0303105, 2018YFE0311100, 2017YFE0301206]
- National Natural Science Foundation of China [12075047]
- Fundamental Research Funds for the Central Universities [DUT21LK05]
The study demonstrates the critical role of microscopic structures of tungsten fuzzy nanofibers in physical sputtering, with deeper and relatively open recessions leading to a better agreement between simulation and experiment data.
The physical sputtering yield of a tungsten (W) fuzzy surface by argon (Ar) plasma bombardment was measured in the linear plasma device PISCES-B, which showed an evident reduction in the physical sputtering yield on the fuzzy surfaces in comparison with a smooth surface (Nishijima D. et al 2011 J. Nucl. Mater. 415 S96). In order to reproduce and explain this phenomenon, dedicated modelling of W physical sputtering on smooth and fuzzy surfaces by Ar bombardment has been performed with the three-dimensional kinetic Monte Carlo code SUROFUZZ. According to a measured porosity distribution, W fuzzy surface morphology is constructed in our simulation, on which physical sputtering, trapping and escaping of W atoms under Ar bombardment are simulated with SURO-FUZZ. Detailed comparison between simulation and experiment reveals that microscopic structures of W fuzzy nanofibers play a critical role in the trapping of W atoms and hence in the resulting physical sputtering yield. For the same porosity distribution, the simulated physical sputtering yields of W fuzzy surface morphology with shallow valleys are higher than the measured values, while W fuzzy surface structure with deep and narrow slots results in a lower physical sputtering yield compared to the experimental data. The good agreement between simulation and experiment can be attained for W fuzzy surface morphology with deep and relatively open recessions.
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