Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization
This article aims to highlight the importance of including quantitative measurements when conducting flow visualization tests, such as those performed in towing tanks, within fluid mechanics analysis. It investigates the possibility of measuring velocity fields with an economically accessible techni...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/12/1/11 |
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| author | José Juan Aliaga-Maraver Ángel Antonio Rodríguez-Sevillano María Jesús Casati-Calzada Rafael Bardera-Mora Estela Barroso-Barderas Juan Carlos García-Matías Alfonso Láinez-Muñiz Davide Visentin |
| author_facet | José Juan Aliaga-Maraver Ángel Antonio Rodríguez-Sevillano María Jesús Casati-Calzada Rafael Bardera-Mora Estela Barroso-Barderas Juan Carlos García-Matías Alfonso Láinez-Muñiz Davide Visentin |
| author_sort | José Juan Aliaga-Maraver |
| collection | DOAJ |
| description | This article aims to highlight the importance of including quantitative measurements when conducting flow visualization tests, such as those performed in towing tanks, within fluid mechanics analysis. It investigates the possibility of measuring velocity fields with an economically accessible technique compared to other techniques that require large financial investments, such as traditional PIV. The development of a MATLAB R2024b code based on image recognition and the use of 3D-printed tracer particles is proposed. Code workflow and how to make a correct selection of the processing parameters and its activity are explained and demonstrated on artificial images, generated by a computer, as well as real images, obtained in a 2D-test in the tank, achieving an accuracy, in absolute values, of 95%. However, the proposed velocimetry system currently has one important limitation, the impossibility of distinguishing between particles in different planes, which limits the study to two-dimensional tests. Then, the opportunity to include this technique in the study of more complex tests requires further investigation. |
| format | Article |
| id | doaj-art-f4a35c99909444f78c45c1548f82d0be |
| institution | Kabale University |
| issn | 2226-4310 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj-art-f4a35c99909444f78c45c1548f82d0be2025-01-24T13:15:25ZengMDPI AGAerospace2226-43102024-12-011211110.3390/aerospace12010011Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow VisualizationJosé Juan Aliaga-Maraver0Ángel Antonio Rodríguez-Sevillano1María Jesús Casati-Calzada2Rafael Bardera-Mora3Estela Barroso-Barderas4Juan Carlos García-Matías5Alfonso Láinez-Muñiz6Davide Visentin7Escuela Técnica Superior de Ingeniería Aeronáutica y del Espacio (ETSIAE), Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainEscuela Técnica Superior de Ingeniería Aeronáutica y del Espacio (ETSIAE), Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainEscuela Técnica Superior de Ingeniería Aeronáutica y del Espacio (ETSIAE), Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainLow-Speed Aerodynamics Laboratory, Instituto Nacional de Técnica Aeroespacial (INTA), 28850 Torrejón de Ardoz, SpainLow-Speed Aerodynamics Laboratory, Instituto Nacional de Técnica Aeroespacial (INTA), 28850 Torrejón de Ardoz, SpainLow-Speed Aerodynamics Laboratory, Instituto Nacional de Técnica Aeroespacial (INTA), 28850 Torrejón de Ardoz, SpainEscuela Técnica Superior de Ingeniería Aeronáutica y del Espacio (ETSIAE), Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainDepartment of Industrial Engineering (DII), University of Padova (UNIPD), 35122 Padova, ItalyThis article aims to highlight the importance of including quantitative measurements when conducting flow visualization tests, such as those performed in towing tanks, within fluid mechanics analysis. It investigates the possibility of measuring velocity fields with an economically accessible technique compared to other techniques that require large financial investments, such as traditional PIV. The development of a MATLAB R2024b code based on image recognition and the use of 3D-printed tracer particles is proposed. Code workflow and how to make a correct selection of the processing parameters and its activity are explained and demonstrated on artificial images, generated by a computer, as well as real images, obtained in a 2D-test in the tank, achieving an accuracy, in absolute values, of 95%. However, the proposed velocimetry system currently has one important limitation, the impossibility of distinguishing between particles in different planes, which limits the study to two-dimensional tests. Then, the opportunity to include this technique in the study of more complex tests requires further investigation.https://www.mdpi.com/2226-4310/12/1/11velocimetryparticle trackingparticle tracking velocimetryparticle image velocimetryopen channel flowflow visualization |
| spellingShingle | José Juan Aliaga-Maraver Ángel Antonio Rodríguez-Sevillano María Jesús Casati-Calzada Rafael Bardera-Mora Estela Barroso-Barderas Juan Carlos García-Matías Alfonso Láinez-Muñiz Davide Visentin Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization Aerospace velocimetry particle tracking particle tracking velocimetry particle image velocimetry open channel flow flow visualization |
| title | Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization |
| title_full | Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization |
| title_fullStr | Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization |
| title_full_unstemmed | Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization |
| title_short | Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization |
| title_sort | optimizing velocity field measurement with 3d printed particles and matlab a cost effective system for flow visualization |
| topic | velocimetry particle tracking particle tracking velocimetry particle image velocimetry open channel flow flow visualization |
| url | https://www.mdpi.com/2226-4310/12/1/11 |
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