Jinwei Bai,Hongtao Liu,Xiaoming He,Wei Jiang, Yong Cao
{"title":"CFIRM:结构网格低温等离子体模拟集成代码包","authors":"Jinwei Bai,Hongtao Liu,Xiaoming He,Wei Jiang, Yong Cao","doi":"10.4208/ijnam2024-1015","DOIUrl":null,"url":null,"abstract":"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\nplasma simulation on both Cartesian and axisymmetric coordinate systems. This code package\nis named CFIRM, since it is designed based on the continuous Galerkin immersed-finite-element\n(IFE) particle-in-cell (PIC) model with the polynomial-preserving-recovery (PPR) technique and\nthe Monte-Carlo-collision (MCC) method. Both the traditional and implicit PIC methods were\nimplemented in the package. Incorporating the advantages of all these methods together, the\nCFIRM code can adopt explicit or implicit PIC schemes to track the motion trajectory of charged\nparticles 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\nversatility 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\nwere incorporated into this code to reduce the memory utilization rate. The implementation for\nthe 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\nthe reliability and accuracy of the CFIRM code. Moreover, two typical low-temperature plasma\nengineering problems are simulated, including a hall thruster and a capacitively coupled plasma\nreactor, which demonstrates the applicability of this code package.","PeriodicalId":50301,"journal":{"name":"International Journal of Numerical Analysis and Modeling","volume":"49 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CFIRM: An Integrated Code Package for the Low-Temperature Plasma Simulation on Structured Grids\",\"authors\":\"Jinwei Bai,Hongtao Liu,Xiaoming He,Wei Jiang, Yong Cao\",\"doi\":\"10.4208/ijnam2024-1015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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\\nplasma simulation on both Cartesian and axisymmetric coordinate systems. This code package\\nis named CFIRM, since it is designed based on the continuous Galerkin immersed-finite-element\\n(IFE) particle-in-cell (PIC) model with the polynomial-preserving-recovery (PPR) technique and\\nthe Monte-Carlo-collision (MCC) method. Both the traditional and implicit PIC methods were\\nimplemented in the package. Incorporating the advantages of all these methods together, the\\nCFIRM code can adopt explicit or implicit PIC schemes to track the motion trajectory of charged\\nparticles 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\\nversatility 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\\nwere incorporated into this code to reduce the memory utilization rate. The implementation for\\nthe 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\\nthe reliability and accuracy of the CFIRM code. 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CFIRM: An Integrated Code Package for the Low-Temperature Plasma Simulation on Structured Grids
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.
期刊介绍:
The journal is directed to the broad spectrum of researchers in numerical methods throughout science and engineering, and publishes high quality original papers in all fields of numerical analysis and mathematical modeling including: numerical differential equations, scientific computing, linear algebra, control, optimization, and related areas of engineering and scientific applications. The journal welcomes the contribution of original developments of numerical methods, mathematical analysis leading to better understanding of the existing algorithms, and applications of numerical techniques to real engineering and scientific problems. Rigorous studies of the convergence of algorithms, their accuracy and stability, and their computational complexity are appropriate for this journal. Papers addressing new numerical algorithms and techniques, demonstrating the potential of some novel ideas, describing experiments involving new models and simulations for practical problems are also suitable topics for the journal. The journal welcomes survey articles which summarize state of art knowledge and present open problems of particular numerical techniques and mathematical models.