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Two-dimensional particle-in-cell Monte Carlo simulation of a miniature inductively coupled plasma source
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Two-dimensional axisymmetric particle-in-cell simulations with Monte Carlo collision calculations (PIC-MCC) have been conducted to investigate argon microplasma characteristics of a miniature inductively coupled plasma source with a 5-mm-diameter planar coil, where the radius and length are 5 mm and 6 mm, respectively. Coupling the rf-electromagnetic fields to the plasma is carried out based on a collisional model and a kinetic model. The former employs the cold-electron approximation and the latter incorporates warm-electron effects. The numerical analysis has been performed for pressures in the range 370–770 mTorr and at 450 MHz rf powers below 3.5 W, and then the PIC-MCC results are compared with available experimental data and fluid simulation results. The results show that a considerably thick sheath structure can be seen compared with the plasma reactor size and the electron energy distribution is non-Maxwellian over the entire plasma region. As a result, the distribution of the electron temperature is quite different from that obtained in the fluid model. The electron temperature as a function of rf power is in a reasonable agreement with experimental data. The pressure dependence of the plasma density shows different tendency between the collisional and kinetic model, implying noncollisional effects even at high pressures due to the high rf frequency, where the electron collision frequency is less than the rf driving frequency.
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Ref. 19 compared experimental, fluid, and kinetic results for a discharge in argon at pressure 370-770 mTorr, driven at 450 MHz and RF powers below 3.5 W, and found discrepancies between the 2D fluid and the PIC results, which can be linked to the non-Maxwellian EEDF observed in the PIC simulations.
“Ref. 19 compared experimental, fluid, and kinetic results for a discharge in argon at pressure 370-770 mTorr, driven at 450 MHz and RF powers below 3.5 W, and found discrepancies between the 2D fluid and the PIC results, which can be linked to the non-Maxwellian EEDF observed in the PIC simulations.”
From Plasma propulsion modeling with particle-based algorithms (2023) · cites this paper as [19]
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Plasma propulsion modeling with particle-based algorithms
Taccogna, F., Cichocki, F., Eremin, D., Fubiani, G., & Garrigues, L. (2023) · Journal of Applied Physics · doi:10.1063/5.0153862 · Cited by 29
Metadata
- Authors
- Takao, Y., Kusaba, N., Eriguchi, K., & Ono, K.
- Affiliations
- Kyoto University (JP)
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 2010-11-01
- Volume
- 108
- Issue
- 9
- Pages
- 093309-1-093309-8
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W2156583701
- Cited by
- 56
- References
- 3
- Citations by year
- 2026: 10 · 2025: 6 · 2024: 6 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 1 · 2016: 5 · 2015: 2 · 2014: 3 · 2013: 1 · 2012: 3
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- green
- ynu.repo.nii.ac.jp
- Locations
- Journal of Applied Physics (publishedVersion)
- Institutional Repositories DataBase (IRDB) (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Kyoto University Research Information Repository (Kyoto University) (submittedVersion)
- Yokohama National University Repository (Yokohama National University) (submittedVersion, cc-by-nc-nd)
- Funders
- Japan Society for the Promotion of Science (21110008)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-Pressure Plasma Processing and Diagnostics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Vacuum and Plasma Arcs
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Atmospheric-Pressure Plasma Applications
- Keywords
- inductively coupled plasma, planar coils, sheath structure, electron energy distribution, non-Maxwellian distribution, electron temperature, plasma density, collision model, kinetic model, pressure dependence, RF power dependence
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