Investigation of Power Flow from a Plasma Opening Switch to an Electron Beam Diode

Abstract

A series of experiments was performed on Hawk to investigate the coupling between a plasma opening switch (POS) and an electron-beam (e-beam) diode load. The parameters that were varied independently in this set of experiments were the conduction time, the e-beam diode anode-cathode (A-K) gap (diode impedance), and the POS-to-load distance. The optimum conduction time for maximum load power was found to be roughly 400-600 ns. The optimum A-K gap for maximum load power was found to be 10 to 15 mm, corresponding to an impedance of approximately 4 to 6 omega. The maximum power measured in these experiments was 40 - 50% lower than that obtained in previous flashboard experiments. The current measurements between the POS and load in the long POS-to-load configuration suggest a picture in which the dominant processes that control the current transfer between the POS and the load change as conduction time is varied but are nearly independent of load impedance. The inferred POS gap at the time of peak load power is always approximately equal to the critical gap for magnetic insulation in both switch-limited and load-limited operation. This implies that the POS-load coupling is self-regulated to maintain saturated electron flow in the POS.

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Document Details

Document Type
Technical Report
Publication Date
Dec 13, 1999
Accession Number
ADA372042

Entities

People

  • D. C. Black
  • Frank C. Young
  • John R. Boller
  • M. C. Myers
  • Robert J. Commisso

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Converters
  • Couplings
  • Current Density
  • Electron Beams
  • Electron Density
  • Electron Emission
  • Electrons
  • Emission
  • Impedance
  • Insulation
  • Magnetic Fields
  • Measurement
  • Particle Beams
  • Plasma Opening Switches
  • Pulsed Power
  • Radiation
  • X Rays

Fields of Study

  • Physics

Readers

  • Electrical Engineering
  • Pulsed Power and Plasma Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Directed Energy
  • Directed Energy - Lasers
  • Microelectronics