Micro-CT data for SPP 2364 "Model-based control of spray synthesis of structured granules with specified properties using transfer functions derived by multivariate stochastic models and machine learning"
Contributing person | Ralf Ditscherlein | |
Contributing person | Rahul Mitra | |
Contributing person | TU Bergakademie Freiberg | |
Contributing person | Urs A. Peuker | |
Contributing person | Volker Schmidt | |
Documentation of the data | Micro-CT image data in tiff format can be easily opened and further processed with different software tools, for example, with the free image processing software of Fiji (ImageJ) or ilastik. Furthermore, the image data can be processed using numerical computing programs and their toolboxes like Matlab or various libraries (e.g. Scikit-Image, OpenCV) of the programming language Python. | |
Description of the data | 2 sets of micro-CT images (16-bit raw tiff image stack after stitch scanning and reconstruction) for two different spray dried samples at different feed rates with corresponding measurement and reconstruction parameters. | |
Type of the data | Image | |
Total size of the dataset | 2307528298 | |
Author | Mitra, Rahul | |
Upload date | 2025-04-23T13:22:59Z | |
Publication date | 2025-04-23T13:22:59Z | |
Data of data creation | 2024-09 | |
Publication date | 2025-04-23 | |
Abstract of the dataset | The data set comprises the micro-CT data from the 1st funding period of the SPP 2364, project number 504580586. The data published here contains the raw, reconstructed micro-CT images of the two spray dried samples (at two different feed rates) tested. The scans were done using the Zeiss Xradia Versa 510. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/1403 | |
Public reference to this page | https://doi.org/10.25532/OPARA-806 | |
Publisher | Technische Universität Bergakademie Freiberg | |
Licence | Attribution-ShareAlike 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by-sa/4.0/ | |
Specification of the discipline(s) | 4::42::403::403-03 | |
Title of the dataset | Micro-CT data for SPP 2364 "Model-based control of spray synthesis of structured granules with specified properties using transfer functions derived by multivariate stochastic models and machine learning" | |
Research instruments | Zeiss Xradia Versa 510 | |
Underlying research object | Spray dried granules | |
Software | Zeiss Reconstructor | |
Software | Zeiss Scout-and-Scan | |
Project abstract | The priority program 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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