An adaptive Cartesian embedded boundary approach for fluid simulations of two- and three-dimensional low temperature plasma filaments in complex geometries

Marskar, Robert

doi:10.1016/j.jcp.2019.03.036

Cited by 36 publications

(57 citation statements)

References 60 publications

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“…Drift-diffusion models are widely used to simulate streamers in air [4,7,8,[11][12][13][14][15][16][17][18][19]. They are based on a set of driftdiffusion-reaction continuity equations describing the evolution of each type of charged species i:…”

Section: Drift-diffusion Modeling Of Streamersmentioning

confidence: 99%

“…where Φ is electric potential, ɛ is permittivity, and ρf is the free charge density. The way used to incorporate surface charges in Equation (2) is explained in [16].…”

Section: Drift-diffusion Modeling Of Streamersmentioning

confidence: 99%

“…Jσ is integrated over time and becomes surface charge σ. qe is the electron charge, Fe, F+, and F-are fluxes of charged species onto the surface. The software (see section 2.4) uses embedded boundaries, so the fluxes are extrapolated from the air to the surface (see [16]…”

Section: Dielectric Surfaces In Drift-diffusionmentioning

confidence: 99%

“…Here F   , F   , and e F  are linearly extrapolated fluxes from the air to the surface,   E is the electric field and n is the surface normal pointing into the air. Fph is the photon flux into the surface (the method of calculating photon fluxes is based on the gradient of the radiative density [16]). Two electron emission mechanisms are implemented in the electron flux Fe: photoemission (γ electrons released per incident photon) and positive ion bombardment (κ electrons released per incident positive ion).…”

Section: Dielectric Surfaces In Drift-diffusionmentioning

confidence: 99%

“…RESOURCES A finite volume code [16] was used for the dynamic simulations. The implementation uses Cartesian cut cell grids to handle material boundaries and adaptive mesh refinement to limit the grid size.…”

Section: Implementation and Computationalmentioning

confidence: 99%

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Streamer and surface charge dynamics in non-uniform air gaps with a dielectric barrier

Meyer

Mauseth

Marskar

et al. 2019

IEEE Trans. Dielect. Electr. Insul.

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Streamer behaviour near dielectric surfaces is an important characteristic of air-solid electrical insulation systems. Accurate predictions are important for dielectric design, but dynamic aspects such as surface charging during streamer propagation are not well understood. A drift-diffusion model is used here to simulate positive streamer behaviour in non-uniform fields. The 2D-planar simulation domain includes air gaps between a tip of a HV electrode and a dielectric barrier laying on a grounded plane. The resulting surface charge distributions approach saturation charge conditions, i.e. zero normal electric field on the air side of the boundary. Such charging behaviour was also reported in lightning impulse (LI) experiments. The simulations are also aligned with empirical streamer propagation range estimates. It is demonstrated that saturation charge levels are reachable within a few tens of nanoseconds of exposure to positive streamer channels. Ion drift is shown to be the dominating mechanism of surface charging during positive streamer propagation, although photoemission also plays an important role. Discharge suppression by streamer-deposited surface charge is also demonstrated. Furthermore, the influence of back discharges at the LI tail on the surface charge distribution is shown. Simulating realistic streamer surface charging behaviour with arbitrary electrode and dielectric shapes is an important step toward first principles discharge prediction models.

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Section: Drift-diffusion Modeling Of Streamersmentioning

confidence: 99%

“…where Φ is electric potential, ɛ is permittivity, and ρf is the free charge density. The way used to incorporate surface charges in Equation (2) is explained in [16].…”

Section: Drift-diffusion Modeling Of Streamersmentioning

confidence: 99%

Section: Dielectric Surfaces In Drift-diffusionmentioning

confidence: 99%

Section: Dielectric Surfaces In Drift-diffusionmentioning

confidence: 99%

Section: Implementation and Computationalmentioning

confidence: 99%

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