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About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements

In this paper, an assessment of the uncertainty affecting a hybrid procedure (experimental/numerical) is carried out to validate it for industrial applications, at the least. The procedure in question serves to depict 3D incompressible flow fields by using 2D measurements of it and computing the thi...

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Autores principales: Fabbiano, Laura, Oresta, Paolo, Lay-Ekuakille, Aimé, Vacca, Gaetano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840076/
https://www.ncbi.nlm.nih.gov/pubmed/35161703
http://dx.doi.org/10.3390/s22030958
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author Fabbiano, Laura
Oresta, Paolo
Lay-Ekuakille, Aimé
Vacca, Gaetano
author_facet Fabbiano, Laura
Oresta, Paolo
Lay-Ekuakille, Aimé
Vacca, Gaetano
author_sort Fabbiano, Laura
collection PubMed
description In this paper, an assessment of the uncertainty affecting a hybrid procedure (experimental/numerical) is carried out to validate it for industrial applications, at the least. The procedure in question serves to depict 3D incompressible flow fields by using 2D measurements of it and computing the third velocity component by means of the continuity equation. A quasi-3D test case of an incompressible flow has been inspected in the wake of a NACA 0012 airfoil immersed in a forced flow of water running in a rectangular open channel. Specifically, starting from a 2D measurement data in planes orthogonal to the stream-wise direction, the computational approach can predict the third flow velocity component. A 3D ADV instrument has been utilized to measure the flow field, but only two velocity components have been considered as measured quantities, while the third one has been considered as reference with which to compare the computed component from the continuity equation to check the accuracy and validity of the hybrid procedure. At this aim, the uncertainties of the quantities have been evaluated, according to the GUM, to assess the agreement between experiments and predictions, in addition to other metrics. This aspect of uncertainty is not a technical sophistication but a substantial way to bring to the use of a 1D and 2D measurement system in lieu of a 3D one, which is costly in terms of maintenance, calibration, and economic issues. Moreover, the magnitude of the most relevant flow indicators by means of experimental data and predictions have been estimated and compared, for further confirmation by means of a supervised learning classification. Further, the sensed data have been processed, by means of a machine learning algorithm, to express them in a 3D way along with accuracy and epoch metrics. Two additional metrics have been included in the effort to show paramount interest, which are a geostatistical estimator and Sobol sensitivity. The statements of this paper can be used to design and test several devices for industrial purposes more easily.
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spelling pubmed-88400762022-02-13 About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements Fabbiano, Laura Oresta, Paolo Lay-Ekuakille, Aimé Vacca, Gaetano Sensors (Basel) Article In this paper, an assessment of the uncertainty affecting a hybrid procedure (experimental/numerical) is carried out to validate it for industrial applications, at the least. The procedure in question serves to depict 3D incompressible flow fields by using 2D measurements of it and computing the third velocity component by means of the continuity equation. A quasi-3D test case of an incompressible flow has been inspected in the wake of a NACA 0012 airfoil immersed in a forced flow of water running in a rectangular open channel. Specifically, starting from a 2D measurement data in planes orthogonal to the stream-wise direction, the computational approach can predict the third flow velocity component. A 3D ADV instrument has been utilized to measure the flow field, but only two velocity components have been considered as measured quantities, while the third one has been considered as reference with which to compare the computed component from the continuity equation to check the accuracy and validity of the hybrid procedure. At this aim, the uncertainties of the quantities have been evaluated, according to the GUM, to assess the agreement between experiments and predictions, in addition to other metrics. This aspect of uncertainty is not a technical sophistication but a substantial way to bring to the use of a 1D and 2D measurement system in lieu of a 3D one, which is costly in terms of maintenance, calibration, and economic issues. Moreover, the magnitude of the most relevant flow indicators by means of experimental data and predictions have been estimated and compared, for further confirmation by means of a supervised learning classification. Further, the sensed data have been processed, by means of a machine learning algorithm, to express them in a 3D way along with accuracy and epoch metrics. Two additional metrics have been included in the effort to show paramount interest, which are a geostatistical estimator and Sobol sensitivity. The statements of this paper can be used to design and test several devices for industrial purposes more easily. MDPI 2022-01-26 /pmc/articles/PMC8840076/ /pubmed/35161703 http://dx.doi.org/10.3390/s22030958 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fabbiano, Laura
Oresta, Paolo
Lay-Ekuakille, Aimé
Vacca, Gaetano
About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements
title About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements
title_full About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements
title_fullStr About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements
title_full_unstemmed About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements
title_short About 3D Incompressible Flow Reconstruction from 2D Flow Field Measurements
title_sort about 3d incompressible flow reconstruction from 2d flow field measurements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840076/
https://www.ncbi.nlm.nih.gov/pubmed/35161703
http://dx.doi.org/10.3390/s22030958
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