Impact of Energetic Electrons on Electric Propulsion Beam Expansion: Grid-Based Vlasov Simulations

ORAL

Abstract

Plasma beam expansion is a fundamental problem in the field of electric propulsion (EP), traditionally approached by considering electrons as an equilibrium charge-neutralizing fluid governed by assumed thermodynamic relations, such as isothermal and polytropic behaviors. However, kinetic particle-in-cell (PIC) simulations have revealed significant discrepancies in plume properties resulting from this hybrid treatment. Therefore, a more accurate model of electrons is needed, necessitating a deep understanding of both microscopic electron kinetics and macroscopic thermodynamics. Recently, Cui and Wang investigated the effects of electron Velocity Distribution Function (VDF) skewness and electron trapping on collisionless electron heat flux using the grid-based Vlasov method, assuming initial ions and electrons following a Maxwellian distribution. However, in practical engineering applications, electrons may exhibit non-Maxwellian properties, characterized by an enhanced high-energy tail that can significantly impact the electron collisionless heat flux. Consequently, studying the effects of non-Maxwellian electron distributions becomes crucial. In this study, we employ the grid-based Vlasov method to examine the thermodynamics and kinetics of electrons in the beam expansion process. We consider various initial electron distribution functions with differing degrees of enhanced high-energy tails. Through this investigation, we aim to provide valuable insights that could enhance the future design of electron collisionless fluid models.

*The authors would like to acknowledge the Center for Advanced Research Computing (CARC) at the University of Southern California for providing computing resources that have contributed to the research results reported within this dissertation. Chen Cui would also like to acknowledge the computational resources provided by the Anvil cluster at Purdue Rosen Center for Advanced Computing through the allocation NSF-ACCESS-PHY230064 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants 2138259, 2138286, 2138307, 2137603, and 2138296.

Presenters

  • Chen Cui

    • University of Southern California

Authors

  • Chen Cui

    • University of Southern California
  • Joseph Wang

    • University of Southern California