Dataset for the Processing of a Dry Water-in-Air Dispersion
收藏DataCite Commons2025-04-02 更新2025-04-16 收录
下载链接:
https://leopard.tu-braunschweig.de/receive/dbbs_mods_00078612
下载链接
链接失效反馈官方服务:
资源简介:
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.
提供机构:
Universitätsbibliothek Braunschweig
创建时间:
2025-04-02



