Cell-centered particle weighting algorithm for PIC simulations in a non-uniform 2D axisymmetric mesh

被引:9
|
作者
Araki, Samuel J. [1 ]
Wirz, Richard E. [1 ]
机构
[1] Univ Calif Los Angeles, Dept Mech & Aerosp Engn, Los Angeles, CA 90095 USA
关键词
PIC simulation; Weighting; Non-uniform mesh; DENSITY; CHARGE; PLASMA;
D O I
10.1016/j.jcp.2014.04.037
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Standard area weighting methods for particle-in-cell simulations result in systematic errors on particle densities for a non-uniform mesh in cylindrical coordinates. These errors can be significantly reduced by using weighted cell volumes for density calculations. A detailed description on the corrected volume calculations and cell-centered weighting algorithm in a non-uniform mesh is provided. The simple formulas for the corrected volume can be used for any type of quadrilateral and/or triangular mesh in cylindrical coordinates. Density errors arising from the cell-centered weighting algorithm are computed for radial density profiles of uniform, linearly decreasing, and Bessel function in an adaptive Cartesian mesh and an unstructured mesh. For all the density profiles, it is shown that the weighting algorithm provides a significant improvement for density calculations. However, relatively large density errors may persist at outermost cells for monotonically decreasing density profiles. A further analysis has been performed to investigate the effect of the density errors in potential calculations, and it is shown that the error at the outermost cell does not propagate into the potential solution for the density profiles investigated. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:218 / 226
页数:9
相关论文
共 50 条
  • [21] Lineage and induction in the development of evolved genotypes for non-uniform 2D CAs
    van Remortel, P
    Lenaerts, T
    Manderick, B
    AL 2002: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2002, 2557 : 321 - 332
  • [22] Flux corrected remapping using piecewise parabolic reconstruction for 2D cell-centered ALE methods
    Velechovsky, J.
    Breil, J.
    Liska, R.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2014, 76 (09) : 575 - 586
  • [23] A CONSERVATIVE SLIDE LINE METHOD FOR CELL-CENTERED SEMI-LAGRANGIAN AND ALE SCHEMES IN 2D
    Bertoluzza, Silvia
    Del Pino, Stephane
    Labourasse, Emmanuel
    ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2016, 50 (01): : 187 - 214
  • [24] Simulations of Tungsten Re-deposition Using a Particle-In-Cell Code with Non-uniform Super Particle Sizes
    Ibano, K.
    Togo, S.
    Lang, T. L.
    Ogawa, Y.
    Lee, H. T.
    Ueda, Y.
    Takizuka, T.
    CONTRIBUTIONS TO PLASMA PHYSICS, 2016, 56 (6-8) : 705 - 710
  • [25] A novel mesh regeneration algorithm for 2D FEM simulations of flows with moving boundary
    Yang, F. -L.
    Chen, C. H.
    Young, D. L.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (09) : 3276 - 3301
  • [26] Non-uniform dependence on initial data for the 2D MHD-Boussinesq equations
    Yu, Yanghai
    Yang, Xiaolei
    JOURNAL OF MATHEMATICAL PHYSICS, 2021, 62 (12)
  • [27] 2D dielectrophoretic signature of Coscinodiscus wailesii algae in non-uniform electric fields
    Kumar, Rajeshwari Taruvai Kalyana
    Kanchustambham, Pradyotha
    Kinnamon, David
    Prasad, Shalini
    ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 2017, 27 : 109 - 114
  • [28] Resolution-enhanced 2D NMR of complex mixtures by non-uniform sampling
    Le Guennec, Adrien
    Dumez, Jean-Nicolas
    Giraudeau, Patrick
    Caldarelli, Stefano
    MAGNETIC RESONANCE IN CHEMISTRY, 2015, 53 (11) : 913 - 920
  • [29] Molecular simulation of DNA microarrays - an application of 2D particle mesh Ewald algorithm
    Watanabe, T
    Kawata, M
    Nagashima, U
    NSTI NANOTECH 2004, VOL 1, TECHNICAL PROCEEDINGS, 2004, : 88 - 90
  • [30] 2D simulation of the electromagnetic wave across the non-uniform reentry plasma sheath with COMSOL
    Zhang, Jiahui
    Liu, Yanming
    Li, Xiaoping
    Shi, Lei
    Yang, Min
    Bai, Bowen
    AIP ADVANCES, 2019, 9 (05)