Relationship between fractional separation curves and quantitative optimization criteria in the separation of pourable materials

E. Barsky, M. Barsky

    Research output: Contribution to journalArticlepeer-review

    9 Scopus citations

    Abstract

    For more than 60 years, the accepted wisdom has been that the methods of optimizing separation processes based on quantitative criteria are fundamentally different from those based on separation curves. The present article demonstrates a functional relation between these two approaches. Reposing upon this relation, we propose a new method for the optimization of separation processes, which combines the advantages of both approaches, namely the availability of a quantitative evaluation and invariance of the evaluation with respect to the grain-size distribution of the starting material.

    Original languageEnglish
    Pages (from-to)41-51
    Number of pages11
    JournalPhysical Separation in Science and Engineering
    Volume13
    Issue number2
    DOIs
    StatePublished - 1 Jun 2004

    Keywords

    • Density
    • Granulometric composition
    • Particle size
    • Separation curve

    ASJC Scopus subject areas

    • General Engineering
    • Filtration and Separation

    Fingerprint

    Dive into the research topics of 'Relationship between fractional separation curves and quantitative optimization criteria in the separation of pourable materials'. Together they form a unique fingerprint.

    Cite this