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  • 标题:Numerical Modeling Of Centrifugal Casting Of Functionally-Graded Aluminum Matrix Composites Reinforced With Diboride Particles.
  • 本地全文:下载
  • 作者:Gustavo Gutierrez ; O. Marcelo Suárez ; Mauricio A. Giordano
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2007
  • 卷号:XXVI
  • 期号:30
  • 页码:2612-2622
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:Surface modification and coating techniques are widely used to improve tribological
    properties of metallic materials for a wide range of manufacturing, transportation, defense, and
    consumer industries. However, in all these techniques a surface treatment is applied after the
    part has been fabricated, and this adds significantly to the overall costs. An alternative, costeffect
    method has been, proposed via functionalization of aluminum matrix composites
    uniformly reinforced with hard particles. A larger volume fraction of those particles can be
    attained near the wear surface via centrifugal casting,. The volume fraction of the heavier
    borides is controlled by inertial forces upon centrifugal processing the semisolid composite.
    In this study, boride particles are modeled as spherical particles subject to a drag force in a Stoke
    flow in the liquid aluminum matrix. This equation of motion for the particles under the applied
    centrifugal forces is solved numerically assuming a gaussian diameter size distribution with a
    spatial uniform random distribution of particles in the sample. The effect of temperature on the
    viscosity is also considered by solving the energy equation. From parametric studies in the
    numerical model, it is possible to better understand and control the experimental conditions to
    obtain an appropriate functionally-graded aluminum matrix for high wear resistance
    applications.
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