• DocumentCode
    1681532
  • Title

    The Mathematical Model for Natural Settling Classification of Flotation Tailings

  • Author

    Yang, Hongli ; Fan, Minqiang

  • Author_Institution
    Coll. of Min. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2012
  • Firstpage
    754
  • Lastpage
    758
  • Abstract
    In order to discharge the slime with high ash content and thus decrease the middling cycling of column flotation, a classification device was designed employing the principle of natural settling of the particles. Good classification was obtained and more than half of the high ash slime can be discharged as the overflow. A mathematical model was introduced to simulate the partition function with the fish-hook appeared in the experiment results. The model involves a Weibull function and a Gauss function representing the classification and the entrainment, respectively. The fitting results show a good agreement with the experimental results. Some parameters can be significantly related to the operating conditions. Based on these relationships, a comprehensive multi-variant model was established and showed good fitness. The relationships embodied in the comprehensive model are coincident with the traditional classification and settlement theory.
  • Keywords
    Gaussian distribution; Weibull distribution; coal ash; flotation (process); production equipment; Gauss function; Weibull function; classification device; column flotation tailings; entrainment; high ash content; middling cycling reduction; multivariant model; natural settling classification; slime discharge; Ash; Coal; Feeds; Fitting; Mathematical model; Radio frequency; Throughput; Classification; fish-hook; flotation tailing; mathematical modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-1-4673-0458-0
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2012.184
  • Filename
    6178629