TU Bergakademie Freiberg Data Publications

Permanent URI for this collection

http://opara.zih.tu-dresden.de/handle/123456789/21
Data publications from research of Freiberg University of Mining and Technology.

Browse

Recent Submissions

Now showing 1 - 5 of 7
  • Item
    Open Access
    Correlative X-ray micro-Computed Tomography (X-µCT) scans of Engineered Artificial Minerals (EnAM)
    (Technische Universität Bergakademie Freiberg, 2024-11-07) Siddique, Asim; Schröer, Laurenz
    Characterizing complex particulate materials like slag using X-ray microcomputed tomography (μCT) is challenging due to minimal grey-scale contrast from similar attenuation properties among phases and intricate microstructures. To address this problem, we developed a standardized multi-scale correlative methodology that combines μCT at different resolutions with scanning electron microscopy and energy-dispersive X-ray spectroscopy (SEM-EDS) and X-ray fluorescence (XRF). By scanning large samples for statistical significance and sub-samples at higher resolutions, we capture detailed microstructures. Aligning SEM-EDS data with μCT scans using inherent markers enables accurate phase segmentation. Mineral mapping from SEM-EDS can help to train segmentation models for μCT data, overcoming μCT limitations and allowing precise 3D mineralogical characterization. This approach provides a robust framework for analyzing complex slag particles. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101005611 https://excite-network.eu.
  • Item
    Open Access
    Rohdaten für Dissertation "Kinetische Studie der Umbenetzungsagglomeration als Basis für die zweidimensionale formselektive Trennung von Partikelgemischen"
    (Technische Universität Bergakademie Freiberg, 2024-10-02) Schreier, Julia
    Dieser Datensatz enthält die Rohdaten zur Dissertation "Kinetische Studie der Umbenetzungsagglomeration als Basis für die zweidimensionale formselektive Trennung von Partikelgemischen". Um Partikelgemische hinsichtlicher ihrer Primärpartikelform mit Hilfe der Umbenetzungsagglomeration trennen zu können, muss der Prozess in der Benetzungsphase abgebrochen werden. Um diesen Zeitpunkt bestimmen zu können, kann das Rührerdrehmoment genutzt werden, da damit die Prozesskinetik in-line bestimmt werden kann. Um diese Annahme zu beweisen, wurden zu unterschiedlichen Zeitpunkten Proben aus der Umbenetzungsagglomeration entnommen und mittels Mikroröntgentomographie (µ-CT) und dreidimensionaler Bildverarbeitung analysiert. Die Agglomeratgröße am Ende des Prozesses wurde mit zweidimensionaler Bildverarbeitung bestimmt.
  • Item
    Open Access
    Dynamic Image Analysis: Python Notebooks, Particle Datasets, and Simulation Results
    (Technische Universität Bergakademie Freiberg, 2024-08-20) Buchwald, Thomas
    This submission serves as a validation dataset for the simulation results of 2D imaging methods from 3D particle meshes. The submission contains dynamic image analysis data that can be used for validation of simulation results, Python notebooks for extraction of particles and calculation of particle characteristics, and the final results in as pickled Pandas DataFrames and CSV files. This dataset extends to previous submission: https://doi.org/10.25532/OPARA-479 and https://doi.org/10.25532/OPARA-587, which contain the 3D particle dataset and the simulation algorithm notebooks.
  • Item
    Open Access
    2D Imaging Simulation from 3D Particle Data: Extended Python Notebooks, Simulation Results
    (Technische Universität Bergakademie Freiberg, 2024-07-30) Buchwald, Thomas
    2D projection imaging techniques are simulated with 3D particle data from tomography measurements. This submission contains two distinct parts: Python notebooks to simulate 2D imaging of the particles, and the resulting simulation dataset. This dataset extends a previous one (https://doi.org/10.25532/OPARA-479) by an additional method of particle surface area determination and a larger dataset of randomly oriented projections – ten instead of the previous three. The Python notebooks were created with Jupyter Lab and Anaconda. A environment.yml file is provided that recreates the Anaconda environment. The simulation dataset that results from the provided Python notebooks is made available as CSV files or as pickled Python (pandas) DataFrames. Please refer to the included Readme for a detailed description of the files contained in the archive.
  • Item
    Open Access
    Colloidal probe atomic force microscopy measurements on pristine gas bubbles, agglomerates and particle-laden gas bubbles
    (Technische Universität Bergakademie Freiberg, 2024-07-08) Nicklas, Jan
    This dataset contains experimental Atomic Force Microscopy (AFM) force-displacement measurements of poorly wetted alumina particles (colloidal probes) < 15 µm interacting with pristine gas bubbles, agglomerates and particle-laden gas bubbles (hetero-coagulates) in an aqueous environment. The data was generated in the context of the Collaborative Research Center CRC 920 (Project ID 169148856 – subproject B04) that is funded by the German Research Foundation (DFG). The data set is of interest for researches that study the agglomeration or hetero-coagulation in liquid environment, and it is expected to be of particular interest to those that are concerned with the simulation and modeling of these processes (for example by Discrete Element Method). The AFM raw data was baseline corrected to increase the accessibility of the data sets to those less familiar with the AFM. A detailed interpretation of the AFM data in this repository is found in https://doi.org/10.1021/acs.langmuir.3c01781 and https://doi.org/10.1016/j.colsurfa.2024.134660.