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Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime
The so-called Rayleigh-Plateau instability of fluid jets has been widely studied and is extensively used in the Continuous InkJet (CIJ) printing process. The present dataset contains the numerically-generated interfaces of Newtonian fluids jets in CIJ jetting conditions for low to moderately high st...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097621/ https://www.ncbi.nlm.nih.gov/pubmed/35572797 http://dx.doi.org/10.1016/j.dib.2022.108215 |
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author | Maîtrejean, Guillaume Samson, Adeline Roux, Denis C.D. |
author_facet | Maîtrejean, Guillaume Samson, Adeline Roux, Denis C.D. |
author_sort | Maîtrejean, Guillaume |
collection | PubMed |
description | The so-called Rayleigh-Plateau instability of fluid jets has been widely studied and is extensively used in the Continuous InkJet (CIJ) printing process. The present dataset contains the numerically-generated interfaces of Newtonian fluids jets in CIJ jetting conditions for low to moderately high stimulation amplitudes. We used Basilisk, an open-source Computational Fluid Dynamics (CFD) software specialized in multiphase flow to compute thousands of jets of fluids for Reynolds numbers ranging from 100 to 1000. The dataset gives raw data of CFD simulations liquid-air interfaces, for each Reynolds – stimulation amplitude pair. The present 10 GB dataset contains [Formula: see text] interfaces which allows to use novel machine learning and deep-learning approaches to explore jet morphologies evolution that can’t be addressed with the classical Rayleigh’s theory. |
format | Online Article Text |
id | pubmed-9097621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90976212022-05-13 Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime Maîtrejean, Guillaume Samson, Adeline Roux, Denis C.D. Data Brief Data Article The so-called Rayleigh-Plateau instability of fluid jets has been widely studied and is extensively used in the Continuous InkJet (CIJ) printing process. The present dataset contains the numerically-generated interfaces of Newtonian fluids jets in CIJ jetting conditions for low to moderately high stimulation amplitudes. We used Basilisk, an open-source Computational Fluid Dynamics (CFD) software specialized in multiphase flow to compute thousands of jets of fluids for Reynolds numbers ranging from 100 to 1000. The dataset gives raw data of CFD simulations liquid-air interfaces, for each Reynolds – stimulation amplitude pair. The present 10 GB dataset contains [Formula: see text] interfaces which allows to use novel machine learning and deep-learning approaches to explore jet morphologies evolution that can’t be addressed with the classical Rayleigh’s theory. Elsevier 2022-04-27 /pmc/articles/PMC9097621/ /pubmed/35572797 http://dx.doi.org/10.1016/j.dib.2022.108215 Text en © 2022 The Authors. Published by Elsevier Inc. https://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 Maîtrejean, Guillaume Samson, Adeline Roux, Denis C.D. Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime |
title | Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime |
title_full | Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime |
title_fullStr | Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime |
title_full_unstemmed | Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime |
title_short | Dataset of numerically-generated interfaces of Newtonian jets in CIJ regime |
title_sort | dataset of numerically-generated interfaces of newtonian jets in cij regime |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097621/ https://www.ncbi.nlm.nih.gov/pubmed/35572797 http://dx.doi.org/10.1016/j.dib.2022.108215 |
work_keys_str_mv | AT maitrejeanguillaume datasetofnumericallygeneratedinterfacesofnewtonianjetsincijregime AT samsonadeline datasetofnumericallygeneratedinterfacesofnewtonianjetsincijregime AT rouxdeniscd datasetofnumericallygeneratedinterfacesofnewtonianjetsincijregime |