• DocumentCode
    71268
  • Title

    Genetic algorithm-optimised charge simulation method for electric field modelling of plate-type electrostatic separators

  • Author

    Abouelsaad, Mohamed M. ; Abouelatta, M.A. ; Salama, Abd-Elhadi R.

  • Author_Institution
    Fac. of Eng. at Shoubra, Benha Univ., Cairo, Egypt
  • Volume
    7
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan-13
  • Firstpage
    16
  • Lastpage
    22
  • Abstract
    A novel combination of genetic algorithms (GAs) and the charge simulation method (CSM) is proposed for enhancing the computation precision of electric fields associated with plate-type electrostatic separators; a new recycling technology of electrical and electronics waste. An algorithm is developed to, automatically, arrive at optimal arrangement of the simulating charges and their locations in order to eliminate dependency on user judgment and experience. Accurate results for electric field computation, compared with earlier published techniques, are realised for several design parameters of the separator. Experiments carried out for determination of detachment fields of small metallic particles (steel spheres of radius 0.501 mm) confirmed validity of the numerical simulation. The present work shows that the coupled GA-CSM algorithm can be an efficient and flexible design tool for accurate field computation of electrostatic separation equipment.
  • Keywords
    electric fields; electrostatic precipitators; genetic algorithms; numerical analysis; recycling; separation; CSM; GA; electric field modelling; electrical waste; electronics waste; genetic algorithm-optimised charge simulation method; metallic particle; numerical simulation; plate-type electrostatic separation equipment; radius 0.501 mm; recycling technology; steel sphere;
  • fLanguage
    English
  • Journal_Title
    Science, Measurement & Technology, IET
  • Publisher
    iet
  • ISSN
    1751-8822
  • Type

    jour

  • DOI
    10.1049/iet-smt.2012.0058
  • Filename
    6518012