Study on Chemical Reactions of Ions and Neutral Particles on the Wall with DSMC Method
- 10.2991/amcce-18.2018.80How to use a DOI?
- DSMC method, dissociation-recombination reaction, chemical reactions on the wall.
Plasma plumes exist widely in the electric propulsion systems. Neutral particles, ions, and metal particles are included in the flow field. Complex collisions occur between the particles. Particles will collide with the wall surface when they move towards the wall, then some particles will reflect back, the others will react on the wall with a certain probability. Chemical reactions on the wall have a significant effect on the distribution of the particles and lead to the change of density in the flow field. The chemical reaction models on the wall are studied based on the direct simulation of Monte Carlo method (DSMC). Five types of particles including molecular hydrogen H2, atomic hydrogen H, atomic Titanium Ti, ion H2+, and ion H+ are studied in the flow field, there are chemical reactions for these particles with a certain probability on the wall. The numerical simulation results show that the number density of molecular hydrogen H2 increases obviously, the number density of atomic hydrogen H increases slightly, and the number density of ion H+ decreases significantly after adding the chemical reaction models on the wall, indicating that the chemical reactions on the wall have a significant influence on the distribution of the particles in the flow field. The study in this paper provides basic data for further research on plasma plumes by the numerical simulation.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yongyuan Su AU - Jie Li AU - Zhenglei Fan PY - 2018/05 DA - 2018/05 TI - Study on Chemical Reactions of Ions and Neutral Particles on the Wall with DSMC Method BT - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) PB - Atlantis Press SP - 466 EP - 472 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-18.2018.80 DO - 10.2991/amcce-18.2018.80 ID - Su2018/05 ER -