Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster

The data presented in this data article were on the basis of the study reported in the research articles entitled “A novel quasi-one-dimensional model for performance estimation of a Vaporizing Liquid Microthruster” (De Giorgi and Fontanarosa, 2018). The reference study presented a numerical analysi...

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Main Authors: Maria Grazia De Giorgi, Donato Fontanarosa
Format: Article
Language:English
Published: Elsevier 2019-02-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S235234091831552X
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spelling doaj-e6e6920fb9ee4d658d458078383864812020-11-25T02:29:29ZengElsevierData in Brief2352-34092019-02-0122307311Numerical data concerning the performance estimation of a Vaporizing Liquid MicrothrusterMaria Grazia De Giorgi0Donato Fontanarosa1Corresponding author.; Dept. of Engineering for Innovation, University of Salento, ItalyDept. of Engineering for Innovation, University of Salento, ItalyThe data presented in this data article were on the basis of the study reported in the research articles entitled “A novel quasi-one-dimensional model for performance estimation of a Vaporizing Liquid Microthruster” (De Giorgi and Fontanarosa, 2018). The reference study presented a numerical analysis of the performance of the Vaporizing Liquid Microthruster (VLM) experimentally investigated in the data article entitled “Performance evaluation and flow visualization of a MEMS based Vaporizing Liquid Microthruster” (Cen and Xu, 2010). For the purpose, a novel quasi one-dimensional model was proposed, and results were compared with the numerical predictions provided by 2D and 3D CFD computations.Due to the scarcity of experimental data concerning the flow characterization inside a Vaporizing Liquid Microthruster, the present Data in Brief aims to provide the entire dataset coming from the numerical predictions for benchmark purposes and comparisons with different numerical approach.http://www.sciencedirect.com/science/article/pii/S235234091831552X
collection DOAJ
language English
format Article
sources DOAJ
author Maria Grazia De Giorgi
Donato Fontanarosa
spellingShingle Maria Grazia De Giorgi
Donato Fontanarosa
Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster
Data in Brief
author_facet Maria Grazia De Giorgi
Donato Fontanarosa
author_sort Maria Grazia De Giorgi
title Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster
title_short Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster
title_full Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster
title_fullStr Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster
title_full_unstemmed Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster
title_sort numerical data concerning the performance estimation of a vaporizing liquid microthruster
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2019-02-01
description The data presented in this data article were on the basis of the study reported in the research articles entitled “A novel quasi-one-dimensional model for performance estimation of a Vaporizing Liquid Microthruster” (De Giorgi and Fontanarosa, 2018). The reference study presented a numerical analysis of the performance of the Vaporizing Liquid Microthruster (VLM) experimentally investigated in the data article entitled “Performance evaluation and flow visualization of a MEMS based Vaporizing Liquid Microthruster” (Cen and Xu, 2010). For the purpose, a novel quasi one-dimensional model was proposed, and results were compared with the numerical predictions provided by 2D and 3D CFD computations.Due to the scarcity of experimental data concerning the flow characterization inside a Vaporizing Liquid Microthruster, the present Data in Brief aims to provide the entire dataset coming from the numerical predictions for benchmark purposes and comparisons with different numerical approach.
url http://www.sciencedirect.com/science/article/pii/S235234091831552X
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