• Title of article

    Discrete Element Method for the thermal field: Proof of concept and determination of the material parameters

  • Author/Authors

    Hahn، نويسنده , , Manfred and Schwarz، نويسنده , , Mathias and Krِplin، نويسنده , , Bernd-H. and Wallmersperger، نويسنده , , Thomas، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    14
  • From page
    2771
  • To page
    2784
  • Abstract
    The physical behaviour of materials and complicated components is nowadays numerically predicted by using the Finite Element Method (FEM). Another method, older than the finite element idea, is the Discrete Element Method (DEM), with which it is possible to make continuum-based calculations not only in the mechanical field but also in the thermal field, as will be shown in this paper. jor drawback of the FEM is that continuum-based methods are unable to include the stochastically distributed microscopic effects in the macroscopically oriented calculations. The Discrete Element Method is one method with which these effects can be considered. king realistic fracture and life time predictions for components at high temperatures, it is important to adapt the DEM for the thermal field. This paper describes the mathematical proof of the 2D Discrete Element Method (or Lattice Model) for the thermal field. It will specifically be shown that the heat flux inside the framework can be transferred to the heat conduction equation. Furthermore, some examples demonstrate how the heat flux can be calculated with this method and how the corresponding material parameters are found and implemented. Also, as will be shown in this paper, anisotropic or orthotropic heat flux effects can be integrated in the DEM model.
  • Keywords
    continuum mechanics , Lattice model , Discrete element method , Framework method , Spring Network Model , Material parameter , Fracture at elevated temperatures , Numerical heat flux , Thermal field
  • Journal title
    Computational Materials Science
  • Serial Year
    2011
  • Journal title
    Computational Materials Science
  • Record number

    1689103