Algorithm Development for the Multi-Fluid Plasma Model

Abstract

An algorithm is developed based on the multi-fluid plasma model derived from moments of the Boltzmann equation. Large mass differences between electrons and ions introduce disparate temporal and spatial scales and require a numerical algorithm with sufficient accuracy to capture the multiple scales. The multi-fluid capability is not limited to two species. Plasma with multiple components can be modeled, e.g. impurity ions, neutral gas. The multi-fluid equations are derived in divergence form for the naturally occurring conserved variables. The source terms of the multi-fluid plasma model couple the fluids to themselves (interspecies interactions) and to the electromagnetic fields. The solution and evolution must be tightly coupled to prevent unstable numerical oscillations. A discontinuous Galerkin method is developed to solve the governing equations on a computational grid and to simulate plasma phenomena. Interspecies interactions also occur through collisional source terms that account for the direct transfer of momentum and energy. In addition to the plasma and electrodynamic physics, the multi-fluid plasma model captures atomic physics in the form reaction rate equations for ionization and recombination, which introduce new temporal scales to the plasma dynamics model.

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Document Details

Document Type
Technical Report
Publication Date
May 30, 2011
Accession Number
ADA564115

Entities

People

  • Uri Shumlak

Organizations

  • University of Washington

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Boltzmann Equation
  • Current Density
  • Dispersion Relations
  • Electromagnetic Fields
  • Electron Emission
  • Electrons
  • Equations
  • Frequency
  • Galerkin Method
  • Magnetic Fields
  • Plasma Sheaths
  • Three Dimensional
  • Wave Propagation

Readers

  • Computational Fluid Dynamics (CFD)
  • Molecular Photonics/Laser Physics

Technology Areas

  • Microelectronics