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Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors

The data presented herein are related to the simulations and correlations reported in the article entitled “Numerical analysis and correlations for radial and tangential leakage of gas in scroll compressors” [1]. The numerical simulations were carried out using the ANSYS FLUENT 12.1.4 CFD code, whic...

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Detalles Bibliográficos
Autores principales: Pereira, Evandro L.L., Braga, Vitor M., Deschamps, Cesar J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011038/
https://www.ncbi.nlm.nih.gov/pubmed/32071977
http://dx.doi.org/10.1016/j.dib.2020.105197
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author Pereira, Evandro L.L.
Braga, Vitor M.
Deschamps, Cesar J.
author_facet Pereira, Evandro L.L.
Braga, Vitor M.
Deschamps, Cesar J.
author_sort Pereira, Evandro L.L.
collection PubMed
description The data presented herein are related to the simulations and correlations reported in the article entitled “Numerical analysis and correlations for radial and tangential leakage of gas in scroll compressors” [1]. The numerical simulations were carried out using the ANSYS FLUENT 12.1.4 CFD code, which is based on the finite volume method. Details of the numerical modeling setup and data collection are provided to allow reproducibility. The datasets include predicted values of radial and tangential leakage carried out using ANSYS FLUENT 12.1.4 CFD code for different gases, operating conditions and geometries expressed as dimensionless parameters. The scripts in C++ for the correlations of radial and tangential leakages developed based on the numerical predictions are also provided together with experimental and numerical data used to validate the correlations.
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spelling pubmed-70110382020-02-18 Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors Pereira, Evandro L.L. Braga, Vitor M. Deschamps, Cesar J. Data Brief Engineering The data presented herein are related to the simulations and correlations reported in the article entitled “Numerical analysis and correlations for radial and tangential leakage of gas in scroll compressors” [1]. The numerical simulations were carried out using the ANSYS FLUENT 12.1.4 CFD code, which is based on the finite volume method. Details of the numerical modeling setup and data collection are provided to allow reproducibility. The datasets include predicted values of radial and tangential leakage carried out using ANSYS FLUENT 12.1.4 CFD code for different gases, operating conditions and geometries expressed as dimensionless parameters. The scripts in C++ for the correlations of radial and tangential leakages developed based on the numerical predictions are also provided together with experimental and numerical data used to validate the correlations. Elsevier 2020-01-28 /pmc/articles/PMC7011038/ /pubmed/32071977 http://dx.doi.org/10.1016/j.dib.2020.105197 Text en © 2020 The Authors 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 Engineering
Pereira, Evandro L.L.
Braga, Vitor M.
Deschamps, Cesar J.
Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
title Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
title_full Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
title_fullStr Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
title_full_unstemmed Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
title_short Data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
title_sort data from the numerical analysis of radial and tangential leakage of gas in scroll compressors
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011038/
https://www.ncbi.nlm.nih.gov/pubmed/32071977
http://dx.doi.org/10.1016/j.dib.2020.105197
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