Thickener Modeling

Thickener Modeling is a computational or mathematical framework designed to simulate, predict, and optimize the solid-liquid separation performance of thickeners in sludge treatment processes by integrating material balance, sedimentation kinetics, and rheological properties within a continuous thickening system.

68

Publications

2.3K

Citations

160

Authors

61

Institutions

Publications per year

2017–2026

14

Authors

160

  1. RB
    Raimund Bürger

    University of Concepción, Chile

    11 publications · 293 citations

    11

    h-index

  2. KH
    Kenneth H. Karlsen

    University of Oslo, Norway

    7 publications · 293 citations

    7

    h-index

  3. NH
    Nils Henrik Risebro

    University of Oslo, Norway

    5 publications · 242 citations

    5

    h-index

  4. JD
    John D. Towers

    MiraCosta College, United States

    5 publications · 219 citations

    5

    h-index

  5. SD
    Stefan Diehl

    Lund University, Sweden

    5 publications · 131 citations

    5

    h-index

1–5 of 160

Venues

  1. Minerals Engineering

    7 publications · 225 citations

    7

    h-index

  2. Chemical Engineering Science

    6 publications · 91 citations

    6

    h-index

  3. Chemical Engineering Journal

    6 publications · 293 citations

    6

    h-index

  4. AIChE Journal

    4 publications · 209 citations

    4

    h-index

  5. 3

    h-index

1–5