[Table of Contents]

Plasma and Fusion Research

Volume 9, 3401120 (2014)

Regular Articles

Statistics of Clusters of Ionized Regions in the Simulation of Discharge using a Percolation Model
Akira SASAKI and Susumu KATO1)
Quantum Beam Science Directorate, Japan Atomic Energy Agency, 8-1-7 Umemidai, Kizugawa-shi, Kyoto 619-0215, Japan
1)
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba-shi, Ibaragi 305-8561, Japan
(Received 9 December 2013 / Accepted 26 March 2014 / Published 4 July 2014)

Abstract

We have developed a simulation code based on the percolation model to understand the stochastic behavior of discharge, which is observed in natural phenomena such as lightning as well as experimental discharges used for light sources and environmental technologies. We have developed a model of ionization and attachment to determine the distribution of ionized region in the gas, and carried out calculation of spatial and temporal evolution of discharge in SF6. In addition, we discuss computational algorithms used to analyze the structure of the ionized region and its statistics in the plasma. The work presented in this article will also be useful for analyzing properties of the plasmas with spatially non-uniform structure.

Keywords

gas discharge, streamer, percolation, simulation, cluster

DOI: 10.1585/pfr.9.3401120

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References

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This paper may be cited as follows:

Akira SASAKI and Susumu KATO, Plasma Fusion Res. 9, 3401120 (2014).