Cfirm: An Integrated Code Package for the Low-Temperature Plasma Simulation on Structured Grids

Abstract

This paper presents a recently developed full kinetic particle simulation code pack-age, 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 con-veniently 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 rigor-ously 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.

Department(s)

Mathematics and Statistics

Second Department

Computer Science

Comments

Science, Technology and Innovation Commission of Shenzhen Municipality, Grant ZDSYS201707280904031

Keywords and Phrases

immersed-finite-element; Low-temperature plasma; Monte-Carlo-collision; particle-in-cell; polynomial-preserving-recovery

International Standard Serial Number (ISSN)

1705-5105

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Global Science Press, All rights reserved.

Publication Date

01 Jan 2024

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