• Title of article

    A statistical approach for estimation of significant variables in wet attrition milling

  • Author/Authors

    Shrivastava، نويسنده , , A. and Sakthivel، نويسنده , , S. and Pitchumani، نويسنده , , B. and Rathore، نويسنده , , A.S.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    8
  • From page
    46
  • To page
    53
  • Abstract
    Production of ultrafine particles by grinding in attritor mill has been successfully applied in chemical, pharmaceutical and mineral processing industries. It has also been demonstrated as a cost effective and efficient method for production of nanoparticles. The present study attempts to relate the effects of operating variables on the Rosin Rammler equation parameter (Xd), which is indicative of the size of product. Operating parameters considered for the investigation are initial size of particles, ball loading, slurry mass fraction, diameter of grinding media, pin tip velocity and ratio of Youngʹs modulus. The results indicate that the ratio of Youngʹs modulus and initial size of particles have significant effects; ball loading, diameter of grinding media and pin tip velocity have moderate effects; and slurry mass fraction does not have a significant effect on the final size of the powder. The paper illustrates how statistical analysis, when appropriately applied, can be used to analyze complex unit operations such as the attritor mill and can be effective in gathering of process understanding.
  • Keywords
    Modelling , Nanoparticle , Least square regression , Attritor mill , optimization
  • Journal title
    Powder Technology
  • Serial Year
    2011
  • Journal title
    Powder Technology
  • Record number

    1700495