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Pore size estimation using image segmentation in silica aerogels

Pandit, Prakul and Schwan, Marina and Heyer, Markus and Milow, Barbara and Rege, Ameya Govind (2022) Pore size estimation using image segmentation in silica aerogels. 6th International Seminar on Aerogels, 28.-30. Sep. 2022, Hamburg, Deutschland.

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Abstract

The structure-property relations in silica aerogels are have recently been shown to be dependent on their pore structure. Exemplarily, classical silica aerogels are considered to be mesoporous structures. To characterise their pore sizes, nitrogen porosimetry is applied by accounting for the Barrett-Joyner-Halenda (BJH) model. To this end, pore sizes in the range of 2 to 50 nm can ideally be characterised. The BJH model is based on the Kelvin equation which assumes a cylindrical pore shape, which is far from reality in the case of aerogels. Thus, there exists a need for an effective measurement technique for measuring the pore-size distribution in silica aerogels. It is notoriously difficult to obtain tomographic scans of such aerogels in the mesoporous range. This drives the necessity to exploit computational models that adhere to the structural correlations as observed in aerogels. This contribution involves implementing a diffusion-limited cluster-cluster aggregation (DLCA) algorithm to model and subsequently use image segmentation approaches to analyse the pore size distribution in silica aerogels. DLCA has been shown to effectively model the silica aerogel's morphological and material properties [1]. In this work, computational micro-structures are generated, which have the same morphological features and the solid fraction as silica aerogels synthesised in the laboratory. To analyse the pore-size distribution and the pore networks in the generated models, watershed image segmentation is implemented. The calculated pore size distribution through pore segmentation are compared with the experimental results from BJH analysis, so as to analyse the differences between the computational model and the experimental results. Thus, this work provides an alternative computationally driven approach for solving the problem of effective measurement of pore sizes based on simulation and image segmentation techniques. References: [1] Abdusalamov R., Scherdel C., Itskov M., Milow B., Reichenauer G., and Rege A., J. Phys. Chem. B, 125, 1944-1950, 2021.

Item URL in elib:https://elib.dlr.de/188755/
Document Type:Conference or Workshop Item (Speech)
Title:Pore size estimation using image segmentation in silica aerogels
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Pandit, PrakulPrakul.Pandit (at) dlr.deUNSPECIFIED
Schwan, MarinaMarina.Schwan (at) dlr.deUNSPECIFIED
Heyer, MarkusMarkus.Heyer (at) dlr.deUNSPECIFIED
Milow, BarbaraBarbara.Milow (at) dlr.dehttps://orcid.org/0000-0002-6350-7728
Rege, Ameya GovindAmeya.Rege (at) dlr.dehttps://orcid.org/0000-0001-9564-5482
Date:28 September 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:pore size, image segmentation, aerogel, pore scale
Event Title:6th International Seminar on Aerogels
Event Location:Hamburg, Deutschland
Event Type:international Conference
Event Dates:28.-30. Sep. 2022
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Digitalisation
DLR - Program:D KIZ - Artificial Intelligence
DLR - Research theme (Project):D - ReBAR
Location: Köln-Porz
Institutes and Institutions:Institute of Materials Research > Aerogels and Aerogel Composites
Deposited By: Rege, Dr. Ameya Govind
Deposited On:27 Oct 2022 08:57
Last Modified:27 Oct 2022 08:57

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