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A multiphase CFD model of DAF process.

C T Ta1, J Beckley, A Eades

  • 1Thames Water, Kempton Park AWTC, Research and Development, Feltham Hill Road, Hanworth, Middlesex TW13 6XH, UK.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|June 8, 2001
PubMed
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This study uses a computational fluid dynamics (CFD) model to simulate air/water flow in a dissolved air flotation (DAF) tank. The model predicts floc removal efficiency and settled solids, validated by experimental data.

Area of Science:

  • Environmental Engineering
  • Fluid Dynamics
  • Water Treatment

Background:

  • Dissolved air flotation (DAF) is a key process in water treatment for removing suspended solids.
  • Accurate modeling of multiphase flow and particle dynamics is crucial for optimizing DAF tank performance.
  • Previous studies often lack detailed validation of CFD models with experimental data for full-scale DAF systems.

Purpose of the Study:

  • To develop and validate a computational fluid dynamics (CFD) model for simulating air/water flow and floc dynamics in a full-scale DAF tank.
  • To predict particle removal efficiency, settled solid profiles, and overall flow dynamics.
  • To compare CFD predictions with experimental data from flow visualization and velocity measurements.

Main Methods:

  • Employed a Eulerian-Eulerian multiphase CFD model for air/water flow simulation.

Related Experiment Videos

  • Utilized a 3D structure grid incorporating air nozzle and tank geometry.
  • Tracked floc particles using a discrete Lagrangean model within the simulated air/water fluid.
  • Validated the model against flow visualization and acoustic Doppler velocimetry (ADV) measurements.
  • Main Results:

    • The CFD model successfully predicted the air/water volume fraction, influencing effective fluid density.
    • Floc fate (escape, settling, breakthrough) was accurately correlated with floc size and density.
    • Model predictions for general flow patterns and average fluid velocities showed good agreement with experimental observations.

    Conclusions:

    • The developed CFD model provides a reliable tool for predicting performance in full-scale DAF tanks.
    • The model aids in understanding and optimizing floc removal and solid settling processes.
    • CFD simulations, when validated, are effective for enhancing the design and operation of DAF systems.