Lacunarity as a quantitative measure of mixing—a micro-CT analysis-based case study on granular materials

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dc.citation.articleNumberitad014
dc.citation.issueNumber1
dc.citation.journalTitleOxford Open Materials Science
dc.citation.volumeNumber3
dc.contributor.authorVásárhelyi, Lívia
dc.contributor.authorSebők, Dániel
dc.contributor.authorSzenti, Imre
dc.contributor.authorTóth, Ádám
dc.contributor.authorLévay, Sára
dc.contributor.authorVajtai, Róbert
dc.contributor.authorKónya, Zoltán
dc.contributor.authorKukovecz, Ákos
dc.date.accessioned2024-05-03T15:51:11Z
dc.date.available2024-05-03T15:51:11Z
dc.date.issued2023
dc.description.abstractIn practically every industry, mixing is a fundamental process, yet its 3D analysis is scarce in the literature. High-resolution computed tomography (micro-CT) is the perfect X-ray imaging tool to investigate the mixing of granular materials. Other than qualitative analysis, 3D micro-CT images provide an opportunity for quantitative analysis, which is of utmost importance, in terms of efficiency (time and budget) and environmental impact of the mixing process. In this work, lacunarity is proposed as a measure of mixing. By the lacunarity calculation on the repeated micro-CT measurements, a temporal description of the mixing can be given in three dimensions. As opposed to traditional mixing indices, the lacunarity curve provides additional information regarding the spatial distribution of the grains. Discrete element method simulations were also performed and showed similar results to the experiments.
dc.identifier.citationVásárhelyi, L., Sebők, D., Szenti, I., Tóth, Á., Lévay, S., Vajtai, R., Kónya, Z., & Kukovecz, Á. (2024). Lacunarity as a quantitative measure of mixing—A micro-CT analysis-based case study on granular materials. Oxford Open Materials Science, 3(1), itad014. https://doi.org/10.1093/oxfmat/itad014
dc.identifier.digitalitad014
dc.identifier.doihttps://doi.org/10.1093/oxfmat/itad014
dc.identifier.urihttps://hdl.handle.net/1911/115556
dc.language.isoeng
dc.publisherOxford University Press
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution (CC BY) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleLacunarity as a quantitative measure of mixing—a micro-CT analysis-based case study on granular materials
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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