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Dataset for the Processing of a Dry Water-in-Air Dispersion

ORCID
0000-0002-0224-8750
Affiliation/Institute
Institut für Partikeltechnik
Hamilton, Leigh Duncan;
GND
1170177867
ORCID
0009-0001-7789-1927
Affiliation/Institute
Institut für Partikeltechnik
Zetzener, Harald;
GND
115153031X
ORCID
0000-0002-6348-7309
Affiliation/Institute
Institut für Partikeltechnik
Kwade, Arno

This data was generated in association with the publication:
"Hamilton, L.D., Zetzener, H. and Kwade, A., 2024, June. The effect of process parameters on the formulation of a dry water-in-air dispersion. Advanced Powder Technology (Volume 35, Issue 7). https://doi.org/10.1016/j.apt.2024.104553."

Within the publication, we investigated the influence of process parameters on the formulation of a dry water-in-air dispersion - commonly known as dry water - on the product particle size within an intensive mixer (Eirich EL1). In addition, we proposed a stress model, characterising the process in terms of a stress number and stress intensity.

The data provided here coincides with all figures and further findings described in the publication. Thus, a transparent overview and recreation of the complete publication is ensured. The first data sheet "2024_Hamilton_Dry_Water_Eirich_Calculations" includes measured particle sizes as well as the correlating energy consumption during mixing. Furthermore, it contains all calculation steps for the stress number, stress intensity as well as other factors such as Reynolds numbers. The second data sheet "2024_Hamilton_Dry_Water_Eirich_Power_Draw" is comprised of power draw data resulting directly from the mixing device.

 

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