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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...

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Detalles Bibliográficos
Autores principales: Maîtrejean, Guillaume, Samson, Adeline, Roux, Denis C.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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
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