Unconditionally stable Crank-Nicolson algorithm with enhanced absorption for rotationally symmetric multi-scale problems in anisotropic magnetized plasma

WEN Yi ¹WANG Junxiang ²XU Hongbing³

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作者信息

1. School of Automatic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;Beijing Institute of Aerospace Systems Engineering,Beijing 100076,China
2. Beijing Institute of Aerospace Systems Engineering,Beijing 100076,China
3. School of Automatic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
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Abstract

Large calculation error can be formed by directly employing the conventional Yee's grid to curve surfaces.In order to alleviate such condition,unconditionally stable Crank-Nicolson Douglas-Gunn(CNDG)algorithm with is proposed for rotationally symmetric multi-scale problems in anisotropic mag-netized plasma.Within the CNDG algorithm,an alternative scheme for the simulation of anisotropic plasma is proposed in body-of-revolution domains.Convolutional perfectly matched layer(CPML)formulation is proposed to efficiently solve the open region problems.Numerical example is carried out for the illustration of effectiveness including the efficiency,resources,and absorption.Through the results,it can be concluded that the proposed scheme shows considerable performance during the simulation.

Key words

anisotropic magnetized plasma/body-of-revolution(BOR)/Crank-Nicolson Douglas-Gunn(CNDG)/finite-difference time-domain(FDTD)/perfectly matched layer(PML)/rotationally symmetric multi-scale problems

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出版年

2024

系统工程与电子技术(英文版)

中国航天科工防御技术研究院中国宇航学会中国系统工程学会中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD

影响因子：0.64

ISSN：1004-4132

参考文献量45

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