Dataset underlying the research of: a submerged cylindrical object in a liquid-solid fluidised bed - measuring local voidage and profile using a hydraulic weighing technique

doi: 10.4121/14204336.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14204336
Datacite citation style:
Kramer, Onno (2021): Dataset underlying the research of: a submerged cylindrical object in a liquid-solid fluidised bed - measuring local voidage and profile using a hydraulic weighing technique. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14204336.v1
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Dataset
Delft University of Technology logo
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time coverage
2020-2021
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A new soft-sensor was developed to measure a hydraulics pressure gradient in a liquid-solid fluidised bed (LSF). LSF is frequently encountered in drinking water treatment processes, often to obtain a large liquid-solid interfacial surface area. A large surface area is crucial for optimal seeded crystallisation in full-scale softening reactors. Due to crystallisation, particles grow and migrate to a lower zone in the reactor which leads to a stratified bed. Larger particles adversely affect the surface area. To maintain optimal process conditions in the fluidised beds, information is needed about the distribution of particle size, local voidage and available surface area, over the reactor height. This data set contains 54 individual measurements of calciet pellets (0.8-0.9mm), (0.9-1.0mm) and a mixture (0.5-0.63mm+1.25-1.4mm) and 3 mm glass beads for various water flow rates.
history
  • 2021-03-12 first online, published, posted
publisher
4TU.ResearchData
format
Data
organizations
- Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Water Management
- Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering,Department of Process and Energy
- Waternet, Amsterdam
- 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

DATA

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