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Near-Wall Pathways of Anomalous Electron Transport in Hall Thrusters Revealed by 3D PIC Simulations

Zhe Liu, Zhongping Zhao, Yinjian Zhao

Abstract

Cross-field electron transport in Hall thrusters is widely attributed to high-frequency $E\times B$ instabilities, yet its net spatial pathway remains poorly resolved. Here we perform instability-resolving three-dimensional particle-in-cell simulations of a Hall thruster using a boundary-faithful and highly integrated framework. The model incorporates a realistic magnetic-field configuration, self-consistent dielectric wall charging, secondary electron emission, Monte Carlo ionization collisions, a self-consistent continuum neutral-gas evolution model, and an open near-plume outflow treatment. From the strongly oscillatory three-dimensional fields, we extract the net instability-driven transport by time and azimuthal averaging of the correlation term $\langle n_e E_y\rangle$ and the corresponding effective perpendicular mobility. The simulations reveal that anomalous electron transport is not distributed uniformly across the channel cross section. Instead, it self-organizes into persistent near-wall pathways connected to the near-exit region. By comparing conducting-wall, ceramic-wall-with-secondary-emission, and open-outflow closures, we show that the near-wall transport topology is robust, while the boundary treatment mainly redistributes the detailed strength of the pathway and its coupling to the exit and near-plume region. These results demonstrate a previously unresolved spatial organization of instability-driven anomalous transport in Hall thrusters and highlight the unique role of 3D PIC simulations in revealing it.

Near-Wall Pathways of Anomalous Electron Transport in Hall Thrusters Revealed by 3D PIC Simulations

Abstract

Cross-field electron transport in Hall thrusters is widely attributed to high-frequency instabilities, yet its net spatial pathway remains poorly resolved. Here we perform instability-resolving three-dimensional particle-in-cell simulations of a Hall thruster using a boundary-faithful and highly integrated framework. The model incorporates a realistic magnetic-field configuration, self-consistent dielectric wall charging, secondary electron emission, Monte Carlo ionization collisions, a self-consistent continuum neutral-gas evolution model, and an open near-plume outflow treatment. From the strongly oscillatory three-dimensional fields, we extract the net instability-driven transport by time and azimuthal averaging of the correlation term and the corresponding effective perpendicular mobility. The simulations reveal that anomalous electron transport is not distributed uniformly across the channel cross section. Instead, it self-organizes into persistent near-wall pathways connected to the near-exit region. By comparing conducting-wall, ceramic-wall-with-secondary-emission, and open-outflow closures, we show that the near-wall transport topology is robust, while the boundary treatment mainly redistributes the detailed strength of the pathway and its coupling to the exit and near-plume region. These results demonstrate a previously unresolved spatial organization of instability-driven anomalous transport in Hall thrusters and highlight the unique role of 3D PIC simulations in revealing it.
Paper Structure (45 sections, 51 equations, 18 figures, 3 tables)

This paper contains 45 sections, 51 equations, 18 figures, 3 tables.

Figures (18)

  • Figure 1: Physical configuration and computational domain. (a) Schematic of the annular Hall thruster and the modeled azimuthal sector. (b) Three-dimensional decomposition of the simulation domain into the channel region (blue) and plume region (red) in the $(x,y,z)\equiv(r,\theta,z)$ coordinate system, with the nominal $\mathbf{E}$, $\mathbf{B}$, and $\mathbf{E}\!\times\!\mathbf{B}$ directions indicated. (c) Meridional $(x,z)$ view defining the channel size $(L_{xc},L_{zc})$ and plume extension $(L_{xp},L_{zp})$. (d) Azimuthal $(y,z)$ view showing the simulated sector length $L_y$ with periodic boundary conditions in $y$.
  • Figure 2: Summary of the simulation cases and their computational cost. Here, $\Delta t$ is the PIC time step, $t_{\mathrm{run}}$ is the total simulated physical time, $t_{\mathrm{wall}}$ is the measured wall-clock runtime on the target machine, $\bar{t}_{\mathrm{step}}$ is the average wall-clock time per time step, and $N_{i,\mathrm{peak}}$ is the peak number of macro-ions.
  • Figure 3: Prescribed initial plasma loading. Normalized seed density $n_{\mathrm{seed}}/n_0$ is shown on three slices: $x$--$y$ at $i_z=72$, $x$--$z$ at $i_y=32$, and $y$--$z$ at $i_x=128$, where $i_x$, $i_y$, and $i_z$ denote grid indices. The yellow curve in the $x$--$z$ plane indicates the imposed initial ion axial drift profile $v_{z,i}$ (m/s). The inset shows the slice locations in the 3D computational domain.
  • Figure 4: Background magnetic-field configurations in the $x$--$z$ plane. Colors show the magnetic-field magnitude $|\mathbf{B}|$ (Gauss), and white contours denote the magnetic vector potential. (a) Baseline export used for cases D, D$_{2\Delta t}$, C, O, and O$_{\text{loadC}}$. (b) Refined export over the same physical region, used for Case D$_{\text{finer}}$. (c) Extended plume-domain export, used for Case O$_{\text{bigger}}$; the dashed box indicates the baseline-domain extent. The inset summarizes the total cell count and relative cell-count ratio for the three configurations.
  • Figure 5: Verification of the continuum neutral model against the free-molecular pre-processing. (a) Normalized neutral density $n_{0}/n_{0,\max}$ from the free-molecular method (left) and the finite-volume Lax--Friedrichs solution (right); the dashed line indicates the centerline used for the one-dimensional comparison. (b) Left: centerline profiles of $n_{0}/n_{0,\max}$ from the two methods; the shaded region denotes the pointwise difference. Right: relative-error map $RE=100\,(n_{0,F}-n_{0,LF})/n_{0,F}$, evaluated only in cells with $n_{0,F}/n_{0,\max}>0.01$. (c) Time evolution of the total number of neutral macroparticles in the free-molecular simulation, saturating at $4.39\times 10^{5}$. (d) Mean velocity fields $u_{x0}$ and $u_{z0}$ (m/s) obtained from the free-molecular run and used as prescribed advection velocities in the coupled continuum neutral solver.
  • ...and 13 more figures