Research data for: "Particle size analysis and beyond - laser diffraction and derived information regarding structures of mechano-fusion coated particles"
Contributing person | Annett Kästner | |
Contributing person | Nora Stefenelli | |
Contributing person | Urs A. Peuker | |
Documentation of the data | The accompanying Readme file contains a detailed description of the setup of the dataset. The dataset file is provided in both .csv and .xlsx format. The latter allows for easier data filtering when using Excel. Otherwise, filtering by individual measurements is possible when using numerical computing programs like Matlab or the programing language Python. | |
References to related material | Journal article "Guest Particle Deformation and Powder Flow Behavior in Mechano-Fusion: Linking Microscopic Structure to Macroscopic Performance" | |
References to related material | https://doi.org/10.25532/OPARA-933 | |
References to related material | Journal article "Particle size analysis and beyond - laser diffraction and derived information regarding structures of mechano-fusion coated particles" | |
Description of the data | One Readme.md file. Dataset file "Laser_diffraction_data" in either .csv or .xlsx format. The latter allows for fast filtering with the graphic user interface. The dataset contains all raw particle size distributions from individual laser diffraction measurements. Particle size "x" stated in µm with the corresponding cumulative distribution value "Q3" stated in percent. Within the file all relevant meta data is provided for each measurement. Therefore, the user can filter by laser diffraction measurement parameters and by mechano-fusion process parameters, which refer to the processing of the samples measured via laser diffraction. The decimal separator of all files is a point (.). | |
Type of the data | Dataset | |
Total size of the dataset | 486598 | |
Author | Seyffer, Judith Miriam | |
Upload date | 2026-06-02T13:29:19Z | |
Publication date | 2026-06-02T13:29:19Z | |
Data of data creation | 2025 | |
Publication date | 2026-06-02 | |
Abstract of the dataset | Laser diffraction (LD) is widely used for the analysis of particle size distribution (PSD). Due to the structure of dry-coated mechano-fusion particle systems, the interpretation of the PSD remains challenging. This study investigates hetero-aggregate coating structures of alumina host particles (median diameter 43.3 μm) with polystyrene guest particles (mean diameter 3.5 μm) in dry LD measurements and how dispersion conditions influence the PSD. Gentle freefall dispersion preserves coating structures and yields a monomodal PSD consistent with expected coated particle size. Differences in the PSD between samples of coated particles prepared under different process conditions are only observed using highintensity dry dispersion. High-intensity dispersion alters the aggregation state by detaching guest particles, leading to bimodal PSD. The plateau values in the cumulative distribution furthermore exceed theoretical guest volume fractions. Experimental measurements are combined with simulations of diffraction patterns and inverse reconstruction. Simulations qualitatively support the experimental findings by linking particle arrangement and deformation to reconstructed PSD features. The apparent overrepresentation is attributed to guest particle deformation and comminution, biasing the volume-weighted PSD. Hence, LD provides more than particle size information: aggregation state, dispersion-induced changes, and guest particle deformation are revealed, enhancing the applicability of LD for quality control of dry-coated hetero-aggregates. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2413 | |
Public reference to this page | https://doi.org/10.25532/OPARA-1283 | |
Publisher | Technische Universität Bergakademie Freiberg | |
Licence | Attribution 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 4 | |
Specification of the discipline(s) | 4::42::403::403-03 | |
Specification of the discipline(s) | 4::43::405::405-03 | |
Title of the dataset | Research data for: "Particle size analysis and beyond - laser diffraction and derived information regarding structures of mechano-fusion coated particles" | |
Research instruments | Laser diffraction device Helos/KF with dry dispersion units Rodos and Gradis (Sympatec GmbH, Clausthal, Germany) | |
Underlying research object | Powder (fine solid particles) formed of coated particles after the mechano-fusion process | |
Underlying research object | Host particle: Denka Alumina DAW-45 | |
Underlying research object | Guest particle: Soken Chemical Polystyrene SX350-H | |
Software | Microsoft Office Excel Version 16.0.14334.20688 | |
Software | Helos Sympatec Windox 5.8.2.0 | |
Project abstract | The project "Agglomeration applying high intensity mixing (mechano-fusion) – An integrated approach towards the synthesis of tailored hetero-aggregates combining experiments with 2D and 3D structural characterization via image analysis and stochastic modeling" within the priority program 2289 funded by the German Research Foundation (DFG) applies mechano-fusion, a high-intensity mixing and dry particle coating process, to produce hetero-agglomerates from different primary particles. The mechanism of agglomeration and coating is based on dynamic de-agglomeration and re-agglomeration processes, whereby the high shear and compression forces within the machine create stable particle-particle contacts. The process is capable of both applying a (nano) guest particle coating to a larger host particle and generating hetero-agglomerates from (nano-)particles themselves. The investigations consider the dispersive and material-specific influencing factors of the primary particles as well as influencing process parameters in order to generate defined agglomerates. The hetero-agglomerates are intensively characterized concerning their structure (e.g. particle size distribution via laser diffraction, BET specific surface area, ...) and their macroscopic behavior. A special focus is the application of 2D and 3D imaging techniques to determine e.g. the mixing state of the primary particles in the respective agglomerates. The analysis of image data sets also provides detailed insight into the 3D architecture of the agglomerates. In cooperation with project partners, statistical data mining allows determining the multivariate distribution of polydisperse structural parameter vectors. Realistic hetero-agglomerates are simulated using spatial stochastic modeling, which provides a sufficiently large database for the use of machine learning tools. | |
Funding Acknowledgement | The research was funded as part of the priority program 2289 "Hetero-aggregates" (grant number: 462365306) by the German Research Foundation (DFG). | |
Public project website(s) | https://www.uni-bremen.de/spp2289 | |
Public project website(s) | https://gepris.dfg.de/gepris/projekt/441399220 | |
Project title | SPP 2289 Hetero-aggregates |
Files
Original bundle
- Name:
- Laser_diffraction_data.xlsx
- Size:
- 210.13 KB
- Format:
- Microsoft Excel XML
- Description:
- Full dataset of all laser diffraction measurements and the relevant meta data in aggregated form.
- Name:
- Laser_diffraction_data.csv
- Size:
- 252.54 KB
- Format:
- Comma-Separated Values
- Description:
- Full dataset of all laser diffraction measurements and the relevant meta data in aggregated form.
License bundle
- Name:
- license.txt
- Size:
- 3.86 KB
- Format:
- Item-specific license agreed to upon submission
- Description:
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