Filtration and Particle Discrete Data (quartz < 200 µm) for 'Project Development of multivariant structure and process models for filter cakes, combining experimental methods of process engineering with digital computer based methods'

Löwer, Erik

Filtration and Particle Discrete Data (quartz < 200 µm) for 'Project Development of multivariant structure and process models for filter cakes, combining experimental methods of process engineering with digital computer based methods'

Contributing person datacite.contributor.DataCollector	Erik Löwer
Contributing person datacite.contributor.DataManager	Ralf Schünemann
Contributing person datacite.contributor.ProjectLeader	Urs Alexander Peuker
Documentation of the data datacite.description.TechnicalInfo	The repository contains the filtration logs as TDMS files, which can be processed with LabVIEW or common Python/MATLAB plugins. The filtration test rig scheme is enclosed in the dataset. The Video data is recorded in .avi format with a resolution of 1024x1024 pixels. A field of view (FOV) of 5x5 mm was used to capture the particles. The Sympatec measurement range M6 with the cuvette with a gap size of 0.50 mm was used. Characteristics such as projection-area-based size distributions and shape factors (sphericity, aspect ratio, and convexity) can be extracted. See readme.txt for further information. For questions, contact: Ralf Schünemann (Ralf.Schuenemann@mvtat.tu-freiberg.de).
References to related material datacite.relatedItem.IsSupplementTo	Deutsche Forschungsgemeinschaft (DFG) - Project number 496815304
Description of the data datacite.resourceType	The dataset is divided into two main categories: Filtration Data (VDI 2762), Measurement protocols of cake formation under varying filtration pressures. The raw data includes synchronized channels for filtrate mass, time, temperature, and pressure. These parameters allow for the determination of the specific cake resistance and filter medium resistance. Dynamic Image Analysis (Sympatec QICPIC): High-resolution particle characterization data. Dynamic Image Analysis was performed using the Sympatec WINDOX 5 software suite, ensuring compliance with ISO 13322-2 for automated image analysis. See readme.txt for further information. For questions, contact: Ralf Schünemann (Ralf.Schuenemann@mvtat.tu-freiberg.de).
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	349566270
Author dc.contributor.author	Löwer, Erik
Upload date dc.date.accessioned	2026-04-29T11:07:11Z
Publication date dc.date.available	2026-04-29T11:07:11Z
Data of data creation dc.date.created	2025
Publication date dc.date.issued	2026-04-29
Abstract of the dataset dc.description.abstract	This dataset contains primary experimental data investigating the filtration behavior and particulate properties of quartz particles. The data was generated through separation tests conducted in accordance with the VDI 2762 guideline (cake-forming filtration). The study aims to correlate particle morphology with specific filter cake resistance within a viscous medium. Quartz (SiO2, 2.7 g/cm³) from Strobel Quarzsand GmbH, product name BCS201, was used as the disperse phase. To ensure a defined particle size distribution, the material was pre-classified to a target range of 50 to 200 µm using a Nisshin Turbo Classifier TC-15M fine air classifier. The continuous medium consisted of a binary water-glycerin mixture: Glycerin content: 24 mass percent (wt%) Additive: 25 mM potassium iodide (KI). Both chemicals were sourced in analytical grade from Carl Roth GmbH + Co. KG. Complementary 3D-characterization data, including CT scans (Computed Tomography) and segmented individual particle data, are archived in the "Parrot" database of the TU Bergakademie Freiberg (https://parrot.tu-freiberg.de/).
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2255
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-1187
Publisher dc.publisher	Technische Universität Bergakademie Freiberg
Licence dc.rights	Attribution 4.0 International	en
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	4::42
Title of the dataset dc.title	Filtration and Particle Discrete Data (quartz < 200 µm) for 'Project Development of multivariant structure and process models for filter cakes, combining experimental methods of process engineering with digital computer based methods'
Research instruments opara.descriptionInstrument	QICPIC sensor (Sympatec GmbH, Clausthal-Zellerfeld, Germany)
Research instruments opara.descriptionInstrument	custom-built laboratory filtration apparatus, designed in strict accordance with the VDI 2762 guideline for cake-forming filtration
Underlying research object opara.descriptionObject.Substance	quartz
Underlying research object opara.descriptionObject.Substance	potassium iodide
Underlying research object opara.descriptionObject.Substance	Glycerin
Software opara.descriptionSoftware.ResourceProcessing	NI Diadem 2021 SP1
Software opara.descriptionSoftware.ResourceProduction	LabVIEW 2020 SP1
Software opara.descriptionSoftware.ResourceProduction	WINDOX 5 5.6.0
Project abstract opara.project.description	A central question in the design of filtration processes still is: what are the filtration properties of a given particle system? The state of the art, like the established Carman-Kozeny-equation, is not capable to calculate with technically sufficient accuracy the specific cake resistance or the capillary pressure distribution form a given particle size distribution. That is why there are still several empirical correlations in this field, which are only valid in a small field of definition and which therefore cannot be seen as universally valid. In the context of process simulation it is therefore not possible to implement the step from particle properties to the properties of the corresponding pore system, i.e. the corresponding filter cake. The aim of this project is the correlation of the distribution of multi-dimensional particle properties, where both the particle size and the particle shape are regarded as distributed properties, with the distribution of properties of the 3D morphology of the filter cake built up from these particles. Tortuosity and pore size are examples for distributed cake properties. For this purpose, methods from experimental process engineering are combined with digital computer-based methods. Analytical particle characterization as well as tomographic image data of the investigated particle systems and of the resulting filter cake structures serve as the basis for characterizing the particle properties and the 3D morphology of two- or three-phase filter cake structures using parametric stochastic models. On the one hand, the multi-dimensional distribution of particle property vectors (e.g. particle size and shape characteristics) and the properties of the resulting multi-phase filter cake system are modeled with parametric copula approaches. On the other hand, parametric 3D structure models are calibrated, which can then generate virtual 3D particles or multi-phase filter cake structures, so-called digital twins, that are equivalent in a statistical sense to the tomographic image data. Both copula models and 3D structure models are described with only a few parameters, which enables efficient characterization of the underlying particle and pore systems. Then regression techniques are used to determine transfer functions, which map parameters of the models describing the particle systems onto the model parameters describing the filter cake structure. In this way, it will become possible to predict the process behavior (e.g. de-watering, cake washing, dispersion) of a filter cake, solely from the knowledge of the underlying (multivariate) probability distribution of multi-dimensional particle properties.
Funding Acknowledgement opara.project.fundingAcknowledgement	The authors of this data submission thank the German Research Foundation (DFG) for funding the research project 496815304, where multivariate structure and process models for filter cake structures are developed.
Public project website(s) opara.project.publicReference	https://gepris.dfg.de/gepris/projekt/496815304?language=en
Project title opara.project.title	Development of multivariant structure and process models for filter cakes, combining experimental methods of process engineering with digital computer based methods