Ion angular distribution simulation of the Highly Efficient Multistage Plasma Thruster

Ion angular current and energy distributions are important parameters for ion thrusters, which are typically measured at a few tens of centimetres to a few metres distance from the thruster exit. However, fully kinetic particle-in-cell (PIC) simulations are not able to simulate such domain sizes due to high computational costs. Therefore, a parallelisation strategy of the code is presented to reduce computational time. The calculated ion beam angular distributions in the plume region are quite sensitive to boundary conditions of the potential, possible additional source contributions (e.g. from secondary electron emission at vessel walls) and charge exchange collisions. Within this work a model for secondary electrons emitted from the vessel wall is included. In order to account for limits of the model due to its limited domain size, a correction of the simulated angular ion energy distribution by the potential boundary is presented to represent the conditions at the location of the experimental measurement in $1~\text{m}$ distance. In addition, a post-processing procedure is suggested to include charge exchange collisions in the plume region not covered by the original PIC simulation domain for the simulation of ion angular distributions measured at $1~\text{m}$ distance.

[1]  R. Schneider,et al.  Solution of Poisson's equation in electrostatic Particle-In-Cell simulations. , 2016 .

[2]  R. Schneider,et al.  Influence of Electron Sources on the Near-field Plume in a Multistage Plasma Thruster , 2016 .

[3]  David Tskhakaya,et al.  Self‐Force in 1D Electrostatic Particle‐in‐Cell Codes for NonEquidistant Grids , 2014 .

[4]  R. Schneider,et al.  Electrostatic Ion Thrusters ‐ Towards Predictive Modeling , 2014 .

[5]  R. Schneider,et al.  Kinetic Simulations of SPT and HEMP Thrusters Including the Near-Field Plume Region , 2009, IEEE Transactions on Plasma Science.

[6]  R. Schneider,et al.  The Particle‐In‐Cell Method , 2007 .

[7]  H. Fehske,et al.  Radio-frequency discharges in oxygen: I. Particle-based modelling , 2007, 0705.0495.

[8]  Francesco Taccogna,et al.  Self-similarity in Hall plasma discharges: Applications to particle models , 2005 .

[9]  Xiaoye S. Li,et al.  An overview of SuperLU: Algorithms, implementation, and user interface , 2003, TOMS.

[10]  Charles K. Birdsall,et al.  Capacitive RF discharges modelled by particle-in-cell Monte Carlo simulation. I. Analysis of numerical techniques , 1993 .

[11]  C. Birdsall,et al.  A relativistic Monte Carlo binary collision model for use in plasma particle simulation codes , 1987 .

[12]  T. Takizuka,et al.  A binary collision model for plasma simulation with a particle code , 1977 .

[13]  G. K. Wehner,et al.  Sputtering Yields for Low Energy He+‐, Kr+‐, and Xe+‐Ion Bombardment , 1962 .

[14]  R. Schneider,et al.  The HEMPT Concept - A Survey on Theoretical Considerations and Experimental Evidences , 2011 .

[15]  N. Koch,et al.  Status of the THALES High Efficiency Multi Stage Plasma Thruster Development for HEMP-T 3050 and HEMP-T 30250 , 2007 .

[16]  Günter Dr. Kornfeld,et al.  Physics and Evolution of HEMP-Thrusters , 2007 .

[17]  N. Matsunami,et al.  Theoretical studies on an empirical formula for sputtering yield at normal incidence , 1983 .

[18]  B. J. Muga,et al.  Particle-in-Cell Method , 1970 .

[19]  R. K. Wakerling,et al.  The characteristics of electrical discharges in magnetic fields , 1949 .