@Article{IJNAM-21-375,
author = {Bai , JinweiLiu , HongtaoHe , XiaomingJiang , Wei and Cao , Yong},
title = {CFIRM: An Integrated Code Package for the Low-Temperature Plasma Simulation on Structured Grids},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2024},
volume = {21},
number = {3},
pages = {375--406},
abstract = {<p style="text-align: justify;">This paper presents a recently developed full kinetic particle simulation code package, which is a two-dimensional highly integrated and universal framework for low-temperature
plasma simulation on both Cartesian and axisymmetric coordinate systems. This code package
is named CFIRM, since it is designed based on the continuous Galerkin immersed-finite-element
(IFE) particle-in-cell (PIC) model with the polynomial-preserving-recovery (PPR) technique and
the Monte-Carlo-collision (MCC) method. Both the traditional and implicit PIC methods were
implemented in the package. Incorporating the advantages of all these methods together, the
CFIRM code can adopt explicit or implicit PIC schemes to track the motion trajectory of charged
particles and deal with the collisions between plasma and neutral gas. Additionally, it can conveniently handle complex interface problems on structured grids. The CFRIM code has excellent
versatility in low-temperature plasma simulation and can easily extend to various particle processing modules, such as the variable weights and adaptive particle management algorithms which
were incorporated into this code to reduce the memory utilization rate. The implementation for
the main algorithms and the overall simulation framework of the CFIRM code package are rigorously described in details. Several simulations of the benchmark cases are carried out to validate
the reliability and accuracy of the CFIRM code. Moreover, two typical low-temperature plasma
engineering problems are simulated, including a hall thruster and a capacitively coupled plasma
reactor, which demonstrates the applicability of this code package.</p>},
issn = {2617-8710},
doi = {https://doi.org/10.4208/ijnam2024-1015},
url = {http://global-sci.org/intro/article_detail/ijnam/23131.html}
}