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

作　　者：WEN Yi WANG Junxiang XU Hongbing 

机构地区：[1]School of Automatic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China [2]Beijing Institute of Aerospace Systems Engineering,Beijing 100076,China

出　　处：《Journal of Systems Engineering and Electronics》2024年第1期65-73,共9页系统工程与电子技术（英文版）

摘　　要：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 CrankNicolson Douglas-Gunn(CNDG)algorithm with is proposed for rotationally symmetric multi-scale problems in anisotropic magnetized 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.

关 键 词：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 

分 类 号：O53[理学—等离子体物理] O241.82[理学—物理]