3D PIC-MCC simulations of discharge inception around a sharp anode in nitrogen/oxygen mixtures

Teunissen, Jannis; Ebert, Ute

doi:10.1088/0963-0252/25/4/044005

Cited by 116 publications

(137 citation statements)

References 59 publications

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“…The development of 3D Monte Carlo/particle-in-cell (MC/PIC) kinetic models using an adaptive mesh and transient non-isotropic treatment of plasma electrons [43] is required for high-fidelity modeling predictions. Considerable progress has been made in electric field measurements in high-pressure transient discharges, using ns and ps four-wave mixing, as shown in figure 8 [44,45].…”

Section: Particle Transport In Non-equilibrium Plasmasmentioning

confidence: 99%

See 1 more Smart Citation

The 2017 Plasma Roadmap: Low temperature plasma science and technology

Adamovich

Baalrud

Bogaerts

et al. 2017

J. Phys. D: Appl. Phys.

819

549

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Section: Particle Transport In Non-equilibrium Plasmasmentioning

confidence: 99%

“…Finally, nonintrusive measurements of the high-energy tail of EEDF, controlled by inelastic collisions and non-local electron kinetics, still appear to be out of reach. For this, the use of high-fidelity predictive kinetic models [43] would be invaluable.…”

Section: Particle Transport In Non-equilibrium Plasmasmentioning

confidence: 99%

The 2017 Plasma Roadmap: Low temperature plasma science and technology

Adamovich

Baalrud

Bogaerts

et al. 2017

J. Phys. D: Appl. Phys.

819

549

View full text Add to dashboard Cite

“…[7,8] or particle in cell (PIC-MCC) simulations, e.g. [9,10] neutrals are treated as a homogeneous background, and their interaction with surfaces is not included in the description. However, the effect of energetic neutrals maybe crucial for secondary electron emission (SEE), as was demonstrated in PIC simulations of Derszi et al [11].…”

Section: Introductionmentioning

confidence: 99%

Towards an integrated modeling of the plasma-solid interface

Bönitz

Filinov

Abraham

et al. 2019

Front. Chem. Sci. Eng.

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Solids facing a plasma are a common situation in many astrophysical systems and laboratory setups. Moreover, many plasma technology applications rely on the control of the plasma-surface interaction, i.e. of the particle, momentum and energy fluxes across the plasma-solid interface. However, presently often a fundamental understanding of them is missing, so most technological applications are being developed via trial and error. The reason is that the physical processes at the interface of a low-temperature plasma and a solid are extremely complex, involving a large number of elementary processes in the plasma, in the solid as well as fluxes across the interface. An accurate theoretical treatment of these processes is very difficult due to the vastly different system properties on both sides of the interface: quantum versus classical behavior of electrons in the solid and plasma, respectively; as well as the dramatically differing electron densities, length and time scales. Moreover, often the system is far from equilibrium. In the majority of plasma simulations surface processes are either neglected or treated via phenomenological parameters such as sticking coefficients, sputter rates or secondary electron emission coefficients. However, those parameters are known only in some cases and with very limited accuracy. Similarly, while surface physics simulations have often studied the impact of single ions or neutrals, so far, the influence of a plasma medium and correlations between successive impacts have not been taken into account. Such an approach, necessarily neglects the mutual influences between plasma and solid surface and cannot have predictive power.In this paper we discuss in some detail the physical processes a the plasma-solid interface which brings us to the necessity of coupled plasma-solid simulations. We briefly summarize relevant theoretical methods from solid state and surface physics that are suitable to contribute to such an approach and identify four methods. The first are mesoscopic simulations such as kinetic Monte Carlo (KMC) and molecular dynamics (MD) that are able to treat complex processes on large scales but neglect electronic effects. The second are quantum kinetic methods based on the quantum Boltzmann equation that give access to a more accurate treatment of surface processes using simplifying models for the solid. The third approach are ab initio simulations of surface process that are based on density functional theory (DFT) and time-dependent DFT. The fourths are nonequilibrium Green functions that able to treat correlation effects in the material and at the interface. The price for the increased quality is a dramatic increase of computational effort and a restriction to short time and length scales. We conclude that, presently, none of the four methods is capable of providing a complete picture of the processes at the interface. Instead, each of them provides complementary information, and we discuss possible combinations. PACS numbers:

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“…17 A conventional theoretical method to study the breakdown characteristics of gas discharges is PIC-MCC (particle-in-cell, Monte-Carlo collision) technique. [21][22][23] Employing this method in the previous works, the breakdown has been, theoretically, identified based on the time variation of the number of ions and electrons. [24][25][26] In the present work, we also used the same method to track the electrons and their collisions inside the PIG.…”

Section: Introductionmentioning

confidence: 99%

PIC-MCC analysis of electron multiplication in a cold-cathode Penning ion generator and its application to identify ignition voltage

2017

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A cold-cathode Penning ion generator (PIG) has been developed in our laboratory to study the interaction of charged particles with matter. The ignition voltage was measured in the presence of the axial magnetic field in the range of 460-580 G. The performed measurements with stainless steel cathodes were in argon gas at pressure of 4 × 10−2 mbar. A PIC-MCC (particle-in-cell, Monte Carlo collision) technique has been used to calculate the electron multiplication coefficient M for various strength of axial magnetic field and applied voltage. An approach based on the coefficient M and the experimental values of the secondary electron emission coefficient γ, was proposed to determine the ignition voltages, theoretically. Applying the values of secondary coefficient γ leads to the average value of γM(V, B) to be = 1.05 ± 0.03 at the ignition of the PIG which satisfies the proposed ignition criterion. Thus, the ion-induced secondary electrons emitted from the cathode have dominant contribution to self-sustaining of the discharge process in a PIG.

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3D PIC-MCC simulations of discharge inception around a sharp anode in nitrogen/oxygen mixtures

Cited by 116 publications

References 59 publications

The 2017 Plasma Roadmap: Low temperature plasma science and technology

The 2017 Plasma Roadmap: Low temperature plasma science and technology

Towards an integrated modeling of the plasma-solid interface

PIC-MCC analysis of electron multiplication in a cold-cathode Penning ion generator and its application to identify ignition voltage

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