Investigation of Collisional Effects in the Plasma Erosion Opening Switch

Abstract

During the conduction phase of the plasma erosion opening switch (PEOS), current channels in the main body of the plasma have been observed experimentally to be much wider than the collisionless skin depth. In addition, the maximum current carried by the switch before opening (the conduction current) seems to scale roughly linearly with plasma density, n, and switch length, 1. Collisionless PIC code simulations of the plasma switch show current conducted in skin-depth like channels, with the conduction current scaling close to l to the 2/5ths power and the fourth root of n. Here the effect of collisions on the behavior of the PEOS is investigated and shown to bring the PIC simulations and experimental results in closer agreement. In the collisional simulations, wider current channels are observed and the conduction current scales linearly with 1 and as sq root of n with density in anode dominated simulations. Linear scaling with length and density in the cathode dominated case can be inferred. Keywords: Opening switches; Plasma erosion opening switches; Anomalous transport in plasma; Vacuum switches.

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Document Details

Document Type
Technical Report
Publication Date
Sep 20, 1988
Accession Number
ADA200319

Entities

People

  • J. M. Grossmann
  • J. M. Neri
  • Paul F. Ottinger
  • R. Kulsrud

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Current Density
  • Electric Fields
  • Electron Emission
  • Electrons
  • Emission
  • Equations Of Motion
  • Frequency
  • Generators
  • Low Density
  • Magnetic Fields
  • Military Research
  • Nuclear Engineering
  • Physics
  • Security
  • Simulations
  • Space Charge

Fields of Study

  • Physics

Readers

  • Plasma Physics / Magnetohydrodynamics
  • Plasma Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference