• DocumentCode
    3418854
  • Title

    Resonance suppression in enclosures with a metallic-lossy dielectric layer by means of genetic algorithms

  • Author

    Lozano-Guerrero, Antonio J. ; Dìaz-Morcillo, Alejandro ; Balbastre-Tejedor, Juan Vicente

  • Author_Institution
    Univ. Polytech. de Cartagena Cartagena, Cartagena
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Conductive plastics have become an alternative to traditional metallic cabinets to shield boxes from electromagnetic interferences. These materials allow a wide range of conductivities that can satisfy any particular design. A design with an outer metallic layer and an inner layer of conductive dielectric can obtain advantages from both materials. In this paper the damping of resonances in enclosures with an aperture through conductive dielectrics is optimized by means of Genetic Algorithms with the aid of a three dimensional simulation tool. Genetic Algorithms are a general purpose optimization technique widely used in the last years for electromagnetic design. The relationship between obtained solutions and skin depth parameter is shown in order to help in design procedures.
  • Keywords
    conducting bodies; electromagnetic interference; electromagnetic shielding; genetic algorithms; conductive plastics; electromagnetic design; electromagnetic interferences; genetic algorithms; metallic-lossy dielectric layer; resonance suppression; resonances damping; shielding effectiveness; Conducting materials; Conductivity; Damping; Dielectric materials; Electromagnetic interference; Electromagnetic shielding; Genetic algorithms; Inorganic materials; Plastics; Resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility, 2007. EMC 2007. IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-1349-4
  • Electronic_ISBN
    1-4244-1350-8
  • Type

    conf

  • DOI
    10.1109/ISEMC.2007.215
  • Filename
    4305795