Sheath governing equations in computational weakly-ionized plasmadynamics

Parent, Bernard; Shneider, Mikhail N.; Macheret, Sergey

doi:10.1016/j.jcp.2012.08.011

Cited by 22 publications

(7 citation statements)

References 32 publications

(50 reference statements)

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“…Only one type of ions and one type of excited species are considered. The mathematical description of the model is based on [23] and [24], and is presented below.…”

Section: Quasi-neutral Plasma Modelmentioning

confidence: 99%

A 3D model of a reverse vortex flow gliding arc reactor

Trenchev

Kolev

Bogaerts

2016

Plasma Sources Sci. Technol.

108

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In this computational study, a gliding arc plasma reactor with a reverse-vortex flow stabilization is modelled for the first time by means of a fluid plasma description. The plasma reactor is operating with argon gas at atmospheric pressure. The gas flow is simulated using the kε RANS turbulent model. A quasi-neutral fluid plasma model is employed for computing the plasma properties. The plasma arc movement in the reactor is observed, and the results for the gas flow, electrical characteristics, plasma density, electron temperature, and gas temperature are analyzed.

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“…Only one type of ions and one type of excited species are considered. The mathematical description of the model is based on [23] and [24], and is presented below.…”

Section: Quasi-neutral Plasma Modelmentioning

confidence: 99%

A 3D model of a reverse vortex flow gliding arc reactor

Trenchev

Kolev

Bogaerts

2016

Plasma Sources Sci. Technol.

108

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“…The disparate time scales are not the only source of stiffness within our system of equations, however. A second source of stiffness comes from some terms within the Gauss-based potential equation amplifying the error associated with charged species densities (see [15] for explanations). This source of stiffness becomes particularly problematic when quasi-neutral plasma regions of significant size form within the domain, as is the case for the problems here considered.…”

Section: Methodsmentioning

confidence: 99%

“…[14]) has incorporated so far the effect of the sheath in the simulation of hypersonic flows. This was made possible through the use of newly developed algorithms [15,16,17] that overcome the stiffness associated with the simulation of plasma sheaths. The study showed that, for a wedge with a sharp leading edge, the sheath had a profound effect on electron temperature not only in the vicinity of the surface but also deep within the quasi-neutral region.…”

Section: Introductionmentioning

confidence: 99%

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Electron Losses in Hypersonic Flows

Parent,

Rajendran,

Omprakas

2021

Preprint

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The first comprehensive study of electron gains and losses in hypersonic air flows including the full coupling between the non-neutral plasma sheaths and the quasi-neutral plasma flow is here presented. Such is made possible by the use of advanced numerical methods that overcome the stiffness associated with the plasma sheaths. The coupling between the sheaths, the electron temperature in non-equilibrium, and the ambipolar diffusion within the quasi-neutral plasma flow is found to be critical to predict accurately electron losses and, thus, plasma density around hypersonic vehicles. This is because electron cooling coming from the non-neutral sheaths affects significantly electron temperature everywhere in the plasma and, therefore, the electron-temperature-dependent loss processes of ambipolar diffusion and dissociative recombination. Results obtained show that electron loss to the surface due to catalyticity dominates over electron loss within the plasma due to dissociative recombination either (i) at high altitude where the dynamic pressure is low, or (ii) at low Mach number, or (iii) when the vehicle has a sharp leading edge.

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“…For the modeling of the charged particles in the plasma, using drift-diffusion approximation for flux evaluation is a widely encountered technique [16]. This approach has been generally applied to model weakly ionized atmospheric pressure plasma reactors [17,18].…”

Section: Introductionmentioning

confidence: 99%