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Dataset underlying the research of: Fit parameters for liquid-solid fluidisation models applied in drinking water treatment processes

dataset
posted on 08.01.2021, 12:43 by Onno Kramer
In 2020 new accurate voidage prediction models were published in water treatment and multiphase flow related journal articles. The models were calibrated and validate for monodisperse spherical glass beads and fractionised calcite grains applied in water softening fluidised bed reactors. A spin off of this particular research project is that other granules also were examined, such as sand, steel and synthetic grains. The fit parameters for these grains were not shared with the scientific community. In short: this dataset consists of fit parameters for liquid-solid fluidisation models to predict the effective voidage applied in drinking water treatment processes and other multiphase flow systems in other industrial field for various granules, for various velocities, particle densities and temperatures.

History

Publisher

4TU.ResearchData

Organizations

Delft University of Technology, Faculty of Civil Engineering Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering Waternet, Amsterdam (funder) HU University of Applied Sciences Utrecht, Institute for Life Science and Chemistry Queen Mary University of London, Division of Chemical Engineering, School of Engineering and Materials Science

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Exports