• DocumentCode
    2275404
  • Title

    An adaptive finite element mesh generation algorithm for microstructure of composite materials

  • Author

    Chang-bing, Ma ; Hong-fu, Qiang

  • Author_Institution
    Xi´´an Res. Inst. of Hi-tech, Xi´´an, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    11
  • Lastpage
    14
  • Abstract
    According to the feature of particulate composite microstructure, an adaptive finite element mesh generation algorithm was developed for the multi-particle packing structure. Based on the force equilibrium method, mesh was compared to a truss structure with inner force; the distances between nodes to particles, particles to particles and curvature were adopted to build the mesh size function. The summation of force on nodes was calculated by the mesh size function and the force-length function. Then, the location of nodes was updated by iteration until the structure was equilibrium, and the adaptive mesh was formed. At last, adaptive meshes of two microstructures with different type particles were given. The result shows the algorithm captures geometrical and mechanical feature of the structure well, is simple and efficient to perform.
  • Keywords
    CAD; composite materials; crystal microstructure; iterative methods; mesh generation; solid modelling; adaptive finite element mesh generation algorithm; adaptive meshes; composite materials; force equilibrium method; force summation; force-length function; geometrical feature; inner force; iteration; mechanical feature; mesh size function; multiparticle packing structure; node location; particulate composite microstructure; truss structure; type particles; Ellipsoids; Finite element methods; Force; Mesh generation; Microstructure; Three dimensional displays; adaptive; finite element method; geometric feature; mesh generation; microstructure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952413
  • Filename
    5952413