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Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field

The dataset in this article includes magneto-rheological parameters of an extra heavy Colombian crude oil (8.5°API) in the presence of a static magnetic field. Considering the availability of this type of data is limited, the parameter values for Shear Rate, Shear Stress, Viscosity, Rotational Speed...

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Detalles Bibliográficos
Autores principales: Roa, Manuel, Aguilera, Ernesto, Correa, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479066/
https://www.ncbi.nlm.nih.gov/pubmed/31032390
http://dx.doi.org/10.1016/j.dib.2019.103902
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author Roa, Manuel
Aguilera, Ernesto
Correa, Rodrigo
author_facet Roa, Manuel
Aguilera, Ernesto
Correa, Rodrigo
author_sort Roa, Manuel
collection PubMed
description The dataset in this article includes magneto-rheological parameters of an extra heavy Colombian crude oil (8.5°API) in the presence of a static magnetic field. Considering the availability of this type of data is limited, the parameter values for Shear Rate, Shear Stress, Viscosity, Rotational Speed, Torque and Viscosity for three temperatures, i.e., 30, 50 and 70 °C, are hereby included in detail. The shear rate was systematically varied from 1 to 100 [s(−1)]. In the same way, another data set was obtained by applying a magnetic field of 0.17, 0.35 and 0.65 T (this parameter is also known as magnetic flux density or magnetic induction, in Teslas [T]). Enough experimental data for each temperature, were gathered, to generate the magneto-rheological curves for the extra heavy crude oil samples, with and without the presence of a static magnetic field.
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spelling pubmed-64790662019-04-26 Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field Roa, Manuel Aguilera, Ernesto Correa, Rodrigo Data Brief Chemical Engineering The dataset in this article includes magneto-rheological parameters of an extra heavy Colombian crude oil (8.5°API) in the presence of a static magnetic field. Considering the availability of this type of data is limited, the parameter values for Shear Rate, Shear Stress, Viscosity, Rotational Speed, Torque and Viscosity for three temperatures, i.e., 30, 50 and 70 °C, are hereby included in detail. The shear rate was systematically varied from 1 to 100 [s(−1)]. In the same way, another data set was obtained by applying a magnetic field of 0.17, 0.35 and 0.65 T (this parameter is also known as magnetic flux density or magnetic induction, in Teslas [T]). Enough experimental data for each temperature, were gathered, to generate the magneto-rheological curves for the extra heavy crude oil samples, with and without the presence of a static magnetic field. Elsevier 2019-04-05 /pmc/articles/PMC6479066/ /pubmed/31032390 http://dx.doi.org/10.1016/j.dib.2019.103902 Text en © 2019 The Author(s) 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 Chemical Engineering
Roa, Manuel
Aguilera, Ernesto
Correa, Rodrigo
Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field
title Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field
title_full Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field
title_fullStr Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field
title_full_unstemmed Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field
title_short Magneto-rheological dataset for an extra heavy crude oil (8.5°API) in the presence of a constant magnetic field
title_sort magneto-rheological dataset for an extra heavy crude oil (8.5°api) in the presence of a constant magnetic field
topic Chemical Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479066/
https://www.ncbi.nlm.nih.gov/pubmed/31032390
http://dx.doi.org/10.1016/j.dib.2019.103902
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