X-ray tomography scans of filter cakes (feed slurry: variation in fraction of fines)

datacite.FundingReference.funderName
datacite.FundingReference.funderName

Deutsche Forschungsgemeinschaft

Contributing person
datacite.contributor.HostingInstitution

Technical University Bergakademie Freiberg - Institute of Mechanical Process Engineering and Mineral Processing

Contributing person
datacite.contributor.ProjectLeader

Löwer, Erik (orcid: 0000-0002-6956-8054)

Contributing person
datacite.contributor.Sponsor

German Research Foundation

Contributing person
datacite.contributor.Supervisor

Leißner, Thomas

Contributing person
datacite.contributor.Supervisor

Peuker, Urs Alexander

datacite.description.SeriesInformation
datacite.description.SeriesInformation

Variation of the fine fraction by 0, 20, 30, 40, 50, 60 and 100 vol.-% in the feed slurry. For all mixtures two self-similiar Al2O3 particles systems (20...45 µm and 55...200 µm) are used.

datacite.description.TableOfContents
datacite.description.TableOfContents

CF_035_020045_008 (in-situ filtration and dewatering, 100 vol.-% fine fraction), CF_035_020045_009 (in-situ dewatering, 100 vol.-% fine fraction, total filter cake), CF_035_020045_010 (in-situ dewatering, 100 vol.-% fine fraction, total filter cake), CF_035_020200_02_001 (in-situ filtration and dewatering, 20 vol.-% fine fraction), CF_035_020200_02_004 (in-situ dewatering, 20 vol.-% fine fraction, total filter cake), CF_035_020200_02_011 (in-situ dewatering, 20 vol.-% fine fraction, total filter cake), CF_035_020200_03_005 (in-situ dewatering, 30 vol.-% fine fraction, total filter cake), CF_035_020200_04_002 (in-situ filtration and dewatering, 40 vol.-% fine fraction), CF_035_020200_04_006 (in-situ dewatering, 40 vol.-% fine fraction, total filter cake), CF_035_020200_04_009 (in-situ dewatering, 40 vol.-% fine fraction, total filter cake), CF_035_020200_05_007 (in-situ dewatering, 50 vol.-% fine fraction, total filter cake), CF_035_020200_06_003 (in-situ filtration and dewatering, 60 vol.-% fine fraction), CF_035_020200_06_008 (in-situ dewatering, 60 vol.-% fine fraction, total filter cake), CF_035_020200_06_010 (in-situ dewatering, 60 vol.-% fine fraction, total filter cake), CF_035_055200_013 (in-situ filtration and dewatering, 0 vol.-% fine fraction), CF_035_055200_015 (in-situ dewatering, 0 vol.-% fine fraction, total filter cake), CF_035_055200_022 (in-situ dewatering, 0 vol.-% fine fraction, total filter cake)

Documentation of the data
datacite.description.TechnicalInfo

Methods: VDI 2762-1, VDI 2762-2 and VDI 2762-3 Resource Type: X-ray tomography scans of filter cakes (.tiff stacks) Data Acquisition: in-situ filtration and dewatering (downscaled pressure nutsch 5 mm diameter) according VDI 2762-2 and VDI 2762-3 Data Processing: automatic centre shift, beam hardening correction (factor 0.05), gauss smoothing filter (kernel 0.7) see note parameter.png in each measurement file for further measurement and reconstruction parameters

References to related material
datacite.relatedItem.IsSourceOf

10.1007/s11242-021-01600-7

Description of the data
datacite.resourceType

Publication B: Neighborhood Relationships of Widely Distributed and Irregularly Shaped Particles in Partially Dewatered Filter Cakes(Paper_B) A more thorough understanding of the properties of bulk material structures in solid–liquid separation processes is essential to understand better and optimize industrially established processes, such as cake filtration, whose process outcome is mainly dependent on the properties of the bulk material structure. Here, changes of bulk properties like porosity and permeability can originate from local variations in particle size, especially for non-spherical particles. In this study, we mix self-similar fractions of crushed, irregularly shaped Al2O3 particles (20 to 90 μm and 55 to 300 μm) to bimodal distributions. These mixtures vary in volume fraction of fines (0, 20, 30, 40, 50, 60 and 100 vol.%). The self-similarity of both systems serves the improved parameter correlation in the case of multimodal distributed particle systems. We use nondestructive 3D X-ray microscopy to capture the filter cake microstructure directly after mechanical dewatering, whereby we give particular attention to packing structure and particle–particle relationships (porosity, coordination number, particle size and corresponding hydraulic isolated liquid areas). Our results reveal widely varying distributions of local porosity and particle contact points. An average coordination number (here 5.84 to 6.04) is no longer a sufficient measure to describe the significant bulk porosity variation (in our case, 40 and 49%). Therefore, the explanation of the correlation is provided on a discrete particle level. While individual particles < 90 μm had only two or three contacts, others > 100 μm took up to 25. Due to this higher local coordination number, the liquid load of corresponding particles (liquid volume/particle volume) after mechanical dewatering increases from 0.48 to 1.47.

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

134852779895

Author
dc.contributor.author

Löwer, Erik

Upload date
dc.date.accessioned

2021-08-23T13:52:04Z

Publication date
dc.date.available

2021-08-23T13:52:04Z

Publication date
dc.date.available

2026-06-05T11:16:55Z

Data of data creation
dc.date.created

2018-2019

Publication date
dc.date.issued

2021-08-23

Abstract of the dataset
dc.description.abstract

X-ray tomography scans of partially dewatered filter cakes with variation of fine particles within the feed slurry. The mixture composition varies by addition of fines by 0, 20, 30, 40, 50, 60 and 100 vol.-%. The initial slurry contains Al2O3 particles suspended in a potassium iodide-glycerol solution and separated by cake-forming filtration. All filtration experiments took place in an in-situ apparatus inside the Zeiss Xradia 510 X-ray microscope.

dc.identifier
dc.identifier

CF_035_020045_009

dc.identifier
dc.identifier

CF_035_020200_02_001

dc.identifier
dc.identifier

CF_035_020200_06_008

dc.identifier
dc.identifier

CF_035_020200_02_011

dc.identifier
dc.identifier

CF_035_020200_04_006

dc.identifier
dc.identifier

CF_035_020200_06_003

dc.identifier
dc.identifier

CF_035_055200_022

dc.identifier
dc.identifier

CF_035_055200_015

dc.identifier
dc.identifier

CF_035_020200_04_009

dc.identifier
dc.identifier

CF_035_020200_05_007

dc.identifier
dc.identifier

CF_035_020045_010

dc.identifier
dc.identifier

CF_035_020045_008

dc.identifier
dc.identifier

CF_035_020200_02_004

dc.identifier
dc.identifier

CF_035_020200_06_010

dc.identifier
dc.identifier

CF_035_055200_013

dc.identifier
dc.identifier

CF_035_020200_04_002

dc.identifier
dc.identifier

CF_035_020200_03_005

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2524

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-123

dc.language
dc.language

eng

Publisher
dc.publisher

Technische Universität Bergakademie Freiberg

Licence
dc.rights

Attribution 4.0 International

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::403::403-03

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

4

Title of the dataset
dc.title

X-ray tomography scans of filter cakes (feed slurry: variation in fraction of fines)

dc.title.alternative
dc.title.alternative

variation of the fine fraction by 0, 20, 30, 40, 50, 60 and 100 vol.-% in the feed slurry

Research instruments
opara.descriptionInstrument

X-ray microscope (ZEISS Xradia Versa 510)

Underlying research object
opara.descriptionObject.Substance

gamma-Al2O3 (manufacturer: Almatis, solid powder, 20...45 µm)

Underlying research object
opara.descriptionObject.Substance

glycerol (manufacturer: Carl Roth, > 99,8 %, 24 m.-%)

Underlying research object
opara.descriptionObject.Substance

potassium iodide (manufacturer: Carl Roth, > 99 %, 25 mmol/l)

Underlying research object
opara.descriptionObject.Substance

gamma-Al2O3 (manufacturer: Almatis, solid powder, 55...200 µm)

Software
opara.descriptionSoftware.ResourceProduction

Xradia XMReconstructor (Version 10.7)

Project abstract
opara.project.description

Reliable information about the micro-processes during filtration and dewatering of filter cakes allows more accurate statements about process development and design in any industrial application with solid-liquid separation units. Distributed particle properties such as shape, size, and material influence the porous network structure with considerable local fluctuations in vertical and horizontal alignment in the cake forming apparatus. The present work relates to a wide range of particle sizes and particle shapes and presents their effects on integral, but preferably local, structural parameters of cake-forming filtration. Current models for the relationship between particle properties and resulting porous structure remain inaccurate. Therefore, the central question focus on the model-based correlation between the obtained data and characteristic cake and process parameters. In combination with X-ray computed tomography and microscopy (ZEISS Xradia 510), data acquisition on the structural build-up of filter cakes is possible on a small scale (filter area 0.2 cm²) and a conventional laboratory scale (filter area 20 cm², VDI 2762 pressure nutsch). Thereby, the work focuses on structural parameters at the local level before, during, and after cake dewatering, such as porosity, coordination number, three-phase contact angle, characteristics of pores and isolated liquid regions, the liquid load of individual particles, tortuosity, and capillary length, and the corresponding spatial distributions. Seven different particle systems in the range of 20 and 500 µm, suspended in aqueous solutions with additives for contrast enhancement, served as the initial raw materials for the filter cake build-up. Image data processing from 16-bit greyscale images with a resolution of 2 to 4 µm/voxel edge length includes various operations from denoising filters and shape enhancement with two-stage segmentation to identify air, solid particles, and liquid phase, resulting in a machine learning-based automated approach. Subsequent modeling and correlation of measured parameters rely on experimentally verified quantities from mercury porosimetry, laser diffraction, dynamic image analysis, static and dynamic droplet contour analysis, as well as filtration and capillary pressure tests according to VDI guidelines. The tomography measurements provide microscopic information about the porous system, quantified using characteristic key parameters and distribution functions.

Project title
opara.project.title

Development of process models based on 3D information about the multiphase processes in the pore space of a filter cake (DFG PE 1160/23-1)

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