Modeling of DM1 POS and Load Performance

Abstract

In this paper, we study the performance of the plasma opening switch (POS) and electron-beam diode load on the DM1 pulsed power generator using the transmission-line circuit code BERTHA, the electron/photon-transport code CYLTRAN, and the 2-dimensional particle-in-cell (PIC) code MAGIC. The results suggest that of the 52 kJ required to be delivered to the load to account for the observed radiation, up to 75% is associated with current not flowing in the cathode. This non-cathode current cannot be explained by electron vacuum flow only, implying the presence of plasma. Further, the inferred experimental diode impedance, 11 omega, is much higher than optimum. Assuming no change in the DMl conduction current/time and POS performance, an optimum diode impedance of 2 omega, and a POS-to-load inductance reduced by 75%, the analysis suggests that the load energy on DMl can range from 54 kJ to 94 kJ, depending on how much non-cathode current reaches the load. The analysis also suggests that to obtain agreement between features of the measurements and calculations, the DMl flow impedance (gap) must decay after opening and ions must be present in the vacuum transmission line between the POS and load. Understanding of the coupling between the POS and e-beam load remains incomplete.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1995
Accession Number
ADA638324

Entities

People

  • Bruce V. Weber
  • D. V. Rose
  • Frank C. Young
  • Gerald Cooperstein
  • J. M. Grossmann
  • John R. Boller
  • Paul F. Ottinger
  • Robert J. Commisso
  • Stephen B. Swanekamp

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Couplings
  • Electric Fields
  • Electron Energy
  • Electrons
  • Energy
  • Generators
  • Geometry
  • Impedance
  • Inductance
  • Measurement
  • Power
  • Pulsed Power
  • Radiation
  • Simulations
  • Two Dimensional
  • X Rays

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Microwave Engineering.
  • Pulsed Power and Plasma Physics.

Technology Areas

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