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High-speed video data for settling of dense liquid droplets through liquid media with different viscosities

A dataset of high-speed video footage of mercury droplets settling through liquid media of different viscosities is presented. Video footage was taken at 4000 frames per second for mercury droplets at room temperature settling through either deionised water or silicone oil. The data set is useful fo...

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Detalles Bibliográficos
Autores principales: Bezuidenhout, Driaan, Reynolds, Quinn, Erwee, Markus, Oxtoby, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609485/
https://www.ncbi.nlm.nih.gov/pubmed/33163590
http://dx.doi.org/10.1016/j.dib.2020.106428
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author Bezuidenhout, Driaan
Reynolds, Quinn
Erwee, Markus
Oxtoby, Oliver
author_facet Bezuidenhout, Driaan
Reynolds, Quinn
Erwee, Markus
Oxtoby, Oliver
author_sort Bezuidenhout, Driaan
collection PubMed
description A dataset of high-speed video footage of mercury droplets settling through liquid media of different viscosities is presented. Video footage was taken at 4000 frames per second for mercury droplets at room temperature settling through either deionised water or silicone oil. The data set is useful for validation of computational models of a wide range of systems which include phase separation studies, settling behaviour as well as interfacial phenomena in liquid-liquid systems. The data can serve as an analogue for validation for fluid systems where dimensional similarity exists and experimentation is not possible due to hostile experimental conditions, e.g. settling of molten metal through molten oxide slag in pyrometallurgical furnaces or separation of heavy liquid phases in chemical reactors.
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spelling pubmed-76094852020-11-06 High-speed video data for settling of dense liquid droplets through liquid media with different viscosities Bezuidenhout, Driaan Reynolds, Quinn Erwee, Markus Oxtoby, Oliver Data Brief Data Article A dataset of high-speed video footage of mercury droplets settling through liquid media of different viscosities is presented. Video footage was taken at 4000 frames per second for mercury droplets at room temperature settling through either deionised water or silicone oil. The data set is useful for validation of computational models of a wide range of systems which include phase separation studies, settling behaviour as well as interfacial phenomena in liquid-liquid systems. The data can serve as an analogue for validation for fluid systems where dimensional similarity exists and experimentation is not possible due to hostile experimental conditions, e.g. settling of molten metal through molten oxide slag in pyrometallurgical furnaces or separation of heavy liquid phases in chemical reactors. Elsevier 2020-10-20 /pmc/articles/PMC7609485/ /pubmed/33163590 http://dx.doi.org/10.1016/j.dib.2020.106428 Text en © 2020 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Bezuidenhout, Driaan
Reynolds, Quinn
Erwee, Markus
Oxtoby, Oliver
High-speed video data for settling of dense liquid droplets through liquid media with different viscosities
title High-speed video data for settling of dense liquid droplets through liquid media with different viscosities
title_full High-speed video data for settling of dense liquid droplets through liquid media with different viscosities
title_fullStr High-speed video data for settling of dense liquid droplets through liquid media with different viscosities
title_full_unstemmed High-speed video data for settling of dense liquid droplets through liquid media with different viscosities
title_short High-speed video data for settling of dense liquid droplets through liquid media with different viscosities
title_sort high-speed video data for settling of dense liquid droplets through liquid media with different viscosities
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609485/
https://www.ncbi.nlm.nih.gov/pubmed/33163590
http://dx.doi.org/10.1016/j.dib.2020.106428
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