• DocumentCode
    1663094
  • Title

    Optimization of Nitric Acid Pretreatment Refractory Gold Concentrate Process with Multiple Assessment Indicators by Grey Relational Analysis

  • Author

    Gao, Guolong ; Li, Dengxin ; Zhou, Yong

  • Author_Institution
    Coll. of Environ. Sci. & Eng., Donghua Univ., Shanghai
  • fYear
    2008
  • Firstpage
    4092
  • Lastpage
    4095
  • Abstract
    On one hand, refractory gold concentrate with high arsenic is one kind of pollutants; on the other hand, it contains a lot of valuable metals, so it is very important to utilize it. This paper studies the optimization of the nitric acid pretreatment refractory gold concentrate process with multiple assessment indicators by the grey relational analysis method. The degree of influence that the controllable process factors (reaction temperature, reaction time, initial nitric acid concentration and initial refractory gold concentrate concentration) exert on the indicators can be concluded as follows: initial refractory gold concentrate concentration > initial nitric acid concentration > reaction temperature > reaction time. The best factor combination is as follows: reaction temperature is 45degC; reaction time is 2.5 h; initial nitric acid concentration is 45%; initial gold concentrate concentration is 10%.
  • Keywords
    gold; molecular biophysics; nitrogen compounds; optimisation; reaction kinetics; surface treatment; Au; HNO3; grey relational analysis; multiple assessment indicators; nitric acid pretreatment; optimization; reaction temperature; reaction time; refractory gold concentrate process; temperature 45 C; time 2.5 h; Chemical elements; Design optimization; Educational institutions; Gold; Optimization methods; Pollution; Process control; Product design; Protection; Temperature control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.524
  • Filename
    4535404