Numerical model of the radio-frequency magnetic presheath including wall impurities
Abstract
Here, we present a numerical fluid plasma model able to capture the enhanced sputtering yield from the Faraday Screen and the Plasma-Facing Components of an Ion Cyclotron Resonance Heating antenna in a fusion machine. The model is a one-dimensional phase-resolved representation of a rectified radio frequency sheath in a magnetic field at an angle with respect to the material surface; the momentum transport of both ions and impurities is computed in the model. The sputtering behavior of the impurities coming off from the wall is obtained from the plasma-material interaction code Fractal-Tridyn. This study analyzes a range of magnetic angles and wave frequencies to parametrically investigate their effect on the energy-angle distributions of the impacting ions and sputtered impurities. Finally, an estimate of the impurity fluxes and of the gross-erosion rate is provided and compared with experimental data available in the literature.
- Authors:
-
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Tech-X Corp., Boulder, CO (United States)
- Lodestar Research Corporation, Boulder, CO (United States)
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Publication Date:
- Research Org.:
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)
- OSTI Identifier:
- 1612838
- Alternate Identifier(s):
- OSTI ID: 1562128
- Grant/Contract Number:
- SC0018090
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physics of Plasmas
- Additional Journal Information:
- Journal Volume: 26; Journal Issue: 9; Journal ID: ISSN 1070-664X
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Physics; Plasma waves; Plasma sheaths; Plasma heating; Plasma facing components; Plasma material interactions
Citation Formats
Elias, M., Curreli, D., Jenkins, T. G., Myra, J. R., and Wright, J. Numerical model of the radio-frequency magnetic presheath including wall impurities. United States: N. p., 2019.
Web. doi:10.1063/1.5109256.
Elias, M., Curreli, D., Jenkins, T. G., Myra, J. R., & Wright, J. Numerical model of the radio-frequency magnetic presheath including wall impurities. United States. https://doi.org/10.1063/1.5109256
Elias, M., Curreli, D., Jenkins, T. G., Myra, J. R., and Wright, J. Fri .
"Numerical model of the radio-frequency magnetic presheath including wall impurities". United States. https://doi.org/10.1063/1.5109256. https://www.osti.gov/servlets/purl/1612838.
@article{osti_1612838,
title = {Numerical model of the radio-frequency magnetic presheath including wall impurities},
author = {Elias, M. and Curreli, D. and Jenkins, T. G. and Myra, J. R. and Wright, J.},
abstractNote = {Here, we present a numerical fluid plasma model able to capture the enhanced sputtering yield from the Faraday Screen and the Plasma-Facing Components of an Ion Cyclotron Resonance Heating antenna in a fusion machine. The model is a one-dimensional phase-resolved representation of a rectified radio frequency sheath in a magnetic field at an angle with respect to the material surface; the momentum transport of both ions and impurities is computed in the model. The sputtering behavior of the impurities coming off from the wall is obtained from the plasma-material interaction code Fractal-Tridyn. This study analyzes a range of magnetic angles and wave frequencies to parametrically investigate their effect on the energy-angle distributions of the impacting ions and sputtered impurities. Finally, an estimate of the impurity fluxes and of the gross-erosion rate is provided and compared with experimental data available in the literature.},
doi = {10.1063/1.5109256},
journal = {Physics of Plasmas},
number = 9,
volume = 26,
place = {United States},
year = {2019},
month = {9}
}
Web of Science
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