INP

Leibniz Institute for Plasma Science and Technology
Felix-Hausdorff-Str. 2
17489 Greifswald
GERMANY

https://www.inp-greifswald.de/en/
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The Leibniz Institute for Plasma Science and Technology (INP) is the largest non-university institute in the field of low temperature plasmas, their basics and technical applications in Europe. The institute carries out research and development from idea to prototype. The topics focus on the needs of the market. At present, plasmas for materials and energy as well as for environment and health are the focus of interest.

Cite Dataset

Discharge modes of self-pulsing discharges in argon at atmospheric pressure - dataset

The results of modelling study of self-pulsing discharges in pure argon at atmospheric pressure in a 1.5 mm gas gap are provided in this dataset. The study investigates the interaction between the electrical circuit and the actual plasma characteristics. A time-dependent, spatially one-dimensional fluid-Poisson model coupled with an equivalent circuit equation is applied to analyse the impact of circuit parameters like resistance and applied negative DC high voltage on basic discharge properties. This includes the analysis of the spatio-temporal development of the densities of charge carriers and excited species, the electric field and ionisation rates in combination with the synchronised electrical quantities like discharge current, discharge voltage and self-pulsing frequency. The study identifies three distinct self-pulsing modes of the discharge, i.e., a transient spark, a transient glow and a modulated DC glow mode. The transition between these modes is related to different recharging times of the circuit capacitance for different external resistances in series with the gas gap, which leads to changes in the predominance of the different ionisation processes together with the crucial impact of pre-ionisation on the discharge inception. These insights provide essential knowledge on tunability within a selection of self-pulsing DC discharge modes for generating non-thermal plasma with desired effects, e.g. for material processing and environmental or medical applications.

FieldValue
Group
Authors
Release Date
2025-04-30
Identifier
b5754c4f-21dd-44c9-aa35-9352c049afd2
Permanent Identifier (DOI)
Permanent Identifier (URI)
Is supplementing
Plasma Source Name
Plasma Source Application
Plasma Source Specification
Plasma Source Properties

The object of interest are discharge modes in self-pulsing discharges in argon at atmospheric pressure. The modelling is performed assuming plane-parallel arrangement with a 1.5 mm gap, with a constant DC voltage connected via resistor to the discharge cell. The additional capacitor with a constant capacitance of 5 pF is connected parallel to the discharge cell. The applied DC voltage and resistance were varied to investigate their influence on the discharge modes.

Plasma Medium Name
Plasma Medium Properties

Pure argon, gas pressure is 760 Torr, constant gas temperature of 300 K

Plasma Diagnostics Name
Plasma Diagnostics Properties

Model: Fluid-Poisson model in 1D;
Computational software: FPSol;
Numerical method: Finite difference method;
Time-stepping procedure: Constant time step
Calculated data were post-processed with python (https://www.python.org), Matplotlib (https://matplotlib.org) and Origin Pro (https://www.originlab.com/).

Plasma Diagnostics Procedure

The self-pulsing discharge in argon at atmospheric pressure is investigated by means of time-dependent and spatially one-dimensional fluid-Poisson modelling in 1D geometry. The model is employed to study influence of the circuit on the discharge modes of self-pulsing discharge. The model comprises a set of balance equations for the particle number densities of electrons and the most important argon species (atomic Ar^+ and molecular Ar_2^+ ions, as well as the lumped excited atomic Ar^* and molecular Ar_2^* states of argon), Poisson’s equation for the electric potential and electric field, the electron energy balance equation. Additional momentum balance equation for ions is solved to determine the ionic fluxes, while electrons employ consistent drift-diffusion approximation. The quasi-neutral initial conditions and physically-based boundary conditions, accounting for thermal flux and partial reflection of the particles, are used. The additional term describing the ion-induced emission of secondary electrons is included into the boundary conditions for the balance equations for the particle number density and energy density of electrons.

Language
English
License
Public Access Level
Public
Contact Name
Jovanovic Aleksandar
Contact Email

Data and Resources