Granule size and shape data from SOPAT for publication "Impact of Feed Rate and Binder Concentration on the Morphology of Spray Dried Alumina-Polymer Nano-composites"
Contributing person | Lukas Fuchs | |
Contributing person | Urs A. Peuker | |
Contributing person | Volker Schmidt | |
Description of the data | JSON files containing granule-wise size and shape information calculated from in-line SOPAT images. | |
Type of the data | Dataset | |
Total size of the dataset | 555668 | |
Author | Mitra, Rahul | |
Upload date | 2025-04-24T13:14:31Z | |
Publication date | 2025-04-24T13:14:31Z | |
Data of data creation | 2024 | |
Publication date | 2025-04-24 | |
Abstract of the dataset | This dataset comprises in-line experimental SOPAT data from spray drying investigations of alumina and polyvinylpyrrolidone-30 composite granules. The spray drying process outcomes are documented through inline optical images of dried granules obtained via a SOPAT in-line imaging system providing maximum and minimum Feret diameter and aspect ratio information. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/1404 | |
Public reference to this page | https://doi.org/10.25532/OPARA-807 | |
Publisher | Technische Universität Bergakademie Freiberg | |
Licence | Attribution-NonCommercial-ShareAlike 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
Specification of the discipline(s) | 4::42::403::403-03 | |
Title of the dataset | Granule size and shape data from SOPAT for publication "Impact of Feed Rate and Binder Concentration on the Morphology of Spray Dried Alumina-Polymer Nano-composites" | |
Research instruments | SOPAT - SOPAT PL | |
Underlying research object | Spray dried granules | |
Software | SOPAT PL | |
Project abstract | The priority program SPP 2364 funded by the German Research Foundation (DFG) investigates and tests methods for autonomous process control in particle technology. It integrates material and data flows with measurement technology, process dynamics, and control to create a closed-loop autonomous process. Initially, it focuses on controlling single unit operations before expanding to entire process chains. The program develops scientific tools—methods, algorithms, and models—for reliable process control and process transformation. It investigates multiphase processes involving solids and fluid particles across synthesis, handling, and formulation operations. | |
Public project website(s) | https://www.mvm.kit.edu/SPP2364_APP.php | |
Project title | SPP 2364 Autonomous Processes in Particle Technology |
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