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  4. Image data analysis of high resolution μCT data for the characterization of pore orientation and pore space interconnectivity in freeze cast ceramics
 
Zitierlink DOI
10.26092/elib/2514
Verlagslink DOI
10.1016/j.matchar.2021.110966

Image data analysis of high resolution μCT data for the characterization of pore orientation and pore space interconnectivity in freeze cast ceramics

Veröffentlichungsdatum
2021-02-25
Autoren
Ilzig, Thomas  
Schumacher, Daniel  
Wilhelm, Michaela  
Günther, Stefan  
Odenbach, Stefan  
Zusammenfassung
Unidirectional and non-unidirectional freeze cast SiOC monoliths were characterized by means of digital image processing. For this purpose a novel method of pore segmentation in complex dendritic pore morphologies was developed. For the first time, the proposed method made it possible to perform an extensive geometrical and structural pore space characterization and analysis on single pore level. The orientation of the primary dendritic channels was obtained from high resolution μCT images. Based on the mean directional vector distribution, the pore space was segmented. As a result, 95% (unidirectional) and 88% (non-unidirectional) of the original binary pore volume could be allocated to individual pores. The pore interconnectivity could be derived from this segmented pore space. It has been shown that the degree of interconnectivity between pores of the same orientation is higher than between pores of different orientation. This could be the reason for peculiar wicking behavior in non-unidirectional samples.
Schlagwörter
Pore space characterization

; 

Pore space interconnectivity

; 

Pore space orientation

; 

High-resolution μCT

; 

Freeze-casting

; 

Porous monoliths

; 

Mimenima
Verlag
Elsevier
Institution
Universität Bremen  
Dokumenttyp
Artikel/Aufsatz
Zeitschrift/Sammelwerk
Materials Characterization  
Band
174
Zweitveröffentlichung
Ja
Dokumentversion
Postprint
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Th. Ilzig, D. Schumacher, M. Wilhelm, St. Guenther, St. Odenbach - Image data analysis of high resolution µCT data_2021_accepted version_Deckblatt_pdfa1.pdf

Size

3.05 MB

Format

Adobe PDF

Checksum

(MD5):bad8e85f89d04bff9c02fd7803b78643

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