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
datacite.contributor.DataCollector

Ralf Ditscherlein

Contributing person
datacite.contributor.DataCurator

Rahul Mitra

Contributing person
datacite.contributor.HostingInstitution

TU Bergakademie Freiberg

Contributing person
datacite.contributor.Supervisor

Urs A. Peuker

Contributing person
datacite.contributor.Supervisor

Volker Schmidt

Documentation of the data
datacite.description.TechnicalInfo

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
datacite.resourceType

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
datacite.resourceTypeGeneral

Image

Total size of the dataset
datacite.size

2307528298

Author
dc.contributor.author

Mitra, Rahul

Upload date
dc.date.accessioned

2025-04-23T13:22:59Z

Publication date
dc.date.available

2025-04-23T13:22:59Z

Data of data creation
dc.date.created

2024-09

Publication date
dc.date.issued

2025-04-23

Abstract of the dataset
dc.description.abstract

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
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/1403

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-806

Publisher
dc.publisher

Technische Universität Bergakademie Freiberg

Licence
dc.rights

Attribution-ShareAlike 4.0 Internationalen

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by-sa/4.0/

Specification of the discipline(s)
dc.subject.classification

4::42::403::403-03

Title of the dataset
dc.title

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
opara.descriptionInstrument

Zeiss Xradia Versa 510

Underlying research object
opara.descriptionObject.PhysicalObject

Spray dried granules

Software
opara.descriptionSoftware.ResourceProcessing

Zeiss Reconstructor

Software
opara.descriptionSoftware.ResourceProduction

Zeiss Scout-and-Scan

Project abstract
opara.project.description

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)
opara.project.publicReference

https://www.mvm.kit.edu/SPP2364_APP.php

Project title
opara.project.title

SPP 2364 Autonomous Processes in Particle Technology
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