High Fidelity Modeling of Field-Reversed Configuration (FRC) Thrusters

Abstract

This work continues development of an advanced multiscale and multifidelity Modeling and Simulation (M and S) capability targeted at the fundamental studies of the physical characteristics of Field-Reversed Configuration (FRC) plasma for advanced space propulsion. This work consists of numerical method development, physical model development, and systematic studies of the non-linear plasma dynamics and finite rate chemical processes governing FRC formation, acceleration, stability and interaction with the environment. While the use of FRCs as a high efficiency/high thrust successor to the current generation of Electric Propulsion devices (Hall Effect Thrusters and Ion thrusters) holds great promise, especially as the foundation of a true hybrid chemical/electric propulsion capability, the need to optimize these devices for relatively low (5-30 kW) power levels to make them relevant to modern satellites requires a much more comprehensive understanding of the fundamental physics of these devices. The foundation of this understanding is being built through the development of a consistent hierarchy of plasma models describing the complex behavior of magnetized partially ionized plasmas coupled with sufficient ancillary physics models (coil models for accurate evaluation of mutual inductance and Collisional-Radiative models for spectroscopic validation) to effectively study real FRC devices. By leveraging recent and on-going research efforts in fundamental algorithms for multiscale plasma simulations as well as the development of advanced physical models, the state-of-the-art in M and S capability for realistic FRC simulation is enhanced. Detailed studies will be performed to elucidate the underlying physics of FRC operation and guide existing experimental FRC thruster investigations currently underway at AFRL In-Space Propulsion Branch.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1153998

Entities

People

  • Eder M. Sousa
  • Michael Kapper
  • Richard Abrantes
  • Robert Lilly
  • Robert R. S. Martin

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Cauchy Problem
  • Computational Fluid Dynamics
  • Computational Science
  • Electric Propulsion
  • Electromagnetic Fields
  • Energy Transfer
  • Hall Thrusters
  • Information Science
  • Kinetic Energy
  • Machine Learning
  • Neural Networks
  • Space Force
  • Supervised Machine Learning
  • United States

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Pulsed Power and Plasma Physics.
  • Technical Research and Report Writing.

Technology Areas

  • Space
  • Space - Hall-Effect Thruster