A framework for modelling removal in the filtration of polydisperse suspensions

R.I. Mackie, Q. Zhao

    Research output: Contribution to journalArticle

    21 Citations (Scopus)

    Abstract

    A framework for modelling removal in deep-bed filtration is presented. This framework uses a phenomenological model as its basis, with well-defined parameters. The parameters were chosen to provide the best fit to one set of experimental data and theoretical models used to predict how the parameters change with operating conditions. The model predicts behaviour of the complete filter run, and takes account of variations in flow rate, temperature, grain size and particle size distribution. The model results were found to be reasonably consistent with experimental observations. The theoretical models used in this paper are relatively simple, but the framework is designed so that more sophisticated models can be used within the framework.
    Original languageEnglish
    Pages (from-to)794-806
    Number of pages13
    JournalWater Research
    Volume33
    Issue number3
    DOIs
    Publication statusPublished - Feb 1999

    Keywords

    • Filtration
    • Mathematical model
    • Water treatment

    Fingerprint Dive into the research topics of 'A framework for modelling removal in the filtration of polydisperse suspensions'. Together they form a unique fingerprint.

  • Cite this