• DocumentCode
    1682646
  • Title

    Set point identification and robustness testing of electrostatic separation processes

  • Author

    Medles, Karim ; Tilmatine, Amar ; Miloua, Farid ; Bendaoud, Abdelber ; Younes, Mohamed ; Rahli, Mostéfa ; Dascalescu, Lucian

  • Author_Institution
    Electr. Eng. Dept., Univ. Djillali Liabes, Sidi-Bel-Abbes, Algeria
  • Volume
    3
  • fYear
    2004
  • Firstpage
    1959
  • Abstract
    Identification of the optimal operating conditions and evaluation of their robustness are critical issues for the industrial application of the electrostatic separation techniques. In spite of extensive investigations performed during recent years, no standard procedure is available for guiding the research of the set point and for minimizing the process sensibility to changes in certain critical factors. The aim of the present work is to formulate a set of recommendations regarding the choice of high-voltage, roll-speed, and feed-rate values for an important class of electrostatic separation applications: the selective sorting of conductive and nonconductive constituents of granular industrial wastes. The experiments were carried out on a laboratory separator, built by one of the authors, with various samples of chopped wire wastes furnished by ENICAB, Biskra, Algeria. Several one-factor-at-a-time followed by two factorial designs (one composite, the other fractional) were performed, based on the following three-step strategy: (1) identify the domain of variation of the controlled variables; (2) found the best choice of the set point; (3) asses the robustness, i.e; test whether the performance of the system remain satisfactory even when the factors vary slightly around that point. The results presented in this paper are strictly valid only for a well-defined category of processed materials, but a similar approach could be adopted for a wider range of electrostatic separation applications.
  • Keywords
    design of experiments; electrostatic precipitators; granular materials; optimisation; robust control; separation; Algeria; ENICAB; chopped wire wastes; electrostatic separation process; granular industrial wastes; industrial application; optimal operating condition; robustness testing; set point identification; Control systems; Electrostatics; Particle separators; Performance evaluation; Robust control; Robustness; Separation processes; Sorting; Testing; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-8486-5
  • Type

    conf

  • DOI
    10.1109/IAS.2004.1348737
  • Filename
    1348737