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Multiscale Coupling of Spacecraft Charging Model With Electric Propulsion Plume Simulation
Abstract
When designing spacecraft with electric propulsion (EP) devices, it is important to assess spacecraft integration to ensure that the important components are not subject to significant sputtering by high-energy ions. In addition to the EP device and its plume, surface charging of spacecraft has to be modeled properly, as surface potential can directly affect the sputtering rate. Three surface charging models are incorporated into the spacecraft module of the numerical simulation framework-Thermophysics Universal Research Framework (TURF), and these include: 1) dielectric; 2) conductive; and 3) charge propagation models. The charge propagation model has been upgraded to solve the surface charge distribution implicitly, allowing a wide range of electrical conductivity values without causing the simulation to become unstable. Each of the charging models is verified against a simple problem where an analytical solution can be determined. Then, the coupling of the surface charging model and a hybrid particle/fluid model is tested in a more complex problem, where the floating potential on a sphere immersed in plasma is to be obtained. Finally, the surface charging model in an EP plume simulation is demonstrated. These problems are multiscale in that the charging model has to resolve an electron timescale (i.e., plasma oscillation) while the particle time step has to be orders of magnitude larger than the electron timescale in order to maintain a long enough sampling window for the…
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The particle representation allows simple and intuitive implementation for detailed description of plasma-gas and plasma-wall interactions, but suffers from discrete particle noise and computational intensity.
“Among the different kinetic approaches 31 available, the particle representation allows a simple and intuitive implementation to account for a detailed description of plasma-gas and plasma-wall interactions, although it suffers from the inevitable but controllable limitation due to inherent discrete particle noise 32-35 and from its computationally intensive nature.”
From Plasma propulsion modeling with particle-based algorithms (2023) · cites this paper as [34]
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Research works printed but not linked: 10
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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
- Araki, S. J.
- Affiliations
- Edwards Air Force Base (US)
- Corresponding author
- Araki, Samuel J.
- ORCID
- Araki, Samuel J.
- Venue
- IEEE Transactions on Plasma Science
- Published
- 2019-11
- Volume
- 47
- Issue
- 11
- Pages
- 4898-4908
- ISSN
- 0093-3813 (ISSN-L)
- 1939-9375
- OpenAlex
- W2980758023
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 1 · 2020: 2
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Plasma Science (publishedVersion)
- Funders
- Air Force Office of Scientific Research (20RQCOR088 (PO: Dr. Birkan))
- 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 › Dust and Plasma Wave Phenomena
- Physical Sciences › Earth and Planetary Sciences › Space and Planetary Science › Ionosphere and magnetosphere dynamics
- Keywords
- spacecraft charging, dielectric charging, conductive charging, sputtering, multiscale coupling, floating potential, plasma oscillations, turf
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