Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison
This publication focuses on the experimental validation of film models by comparing constructed and experimental velocity fields based on model and elementary experimental data. The film experiment covers Kapitza numbers Ka = 278.8 and Ka = 4538.6, a Reynolds number range of 1.6–52, and disturbance...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Polymers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4360/13/8/1205 |
| _version_ | 1797538475688329216 |
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| author | Ruiqi Wang Riqiang Duan Haijun Jia |
| author_facet | Ruiqi Wang Riqiang Duan Haijun Jia |
| author_sort | Ruiqi Wang |
| collection | DOAJ |
| description | This publication focuses on the experimental validation of film models by comparing constructed and experimental velocity fields based on model and elementary experimental data. The film experiment covers Kapitza numbers Ka = 278.8 and Ka = 4538.6, a Reynolds number range of 1.6–52, and disturbance frequencies of 0, 2, 5, and 7 Hz. Compared to previous publications, the applied methodology has boundary identification procedures that are more refined and provide additional adaptive particle image velocimetry (PIV) method access to synthetic particle images. The experimental method was validated with a comparison with experimental particle image velocimetry and planar laser induced fluorescence (PIV/PLIF) results, Nusselt’s theoretical prediction, and experimental particle tracking velocimetry (PTV) results of flat steady cases, and a good continuity equation reproduction of transient cases proves the method’s fidelity. The velocity fields are reconstructed based on different film flow model velocity profile assumptions such as experimental film thickness, flow rates, and their derivatives, providing a validation method of film model by comparison between reconstructed velocity experimental data and experimental velocity data. The comparison results show that the first-order weighted residual model (WRM) and regularized model (RM) are very similar, although they may fail to predict the velocity field in rapidly changing zones such as the front of the main hump and the first capillary wave troughs. |
| first_indexed | 2024-03-10T12:30:55Z |
| format | Article |
| id | doaj.art-6fd227bdf69f4a83a9e989056762ab83 |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-10T12:30:55Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-6fd227bdf69f4a83a9e989056762ab832023-11-21T14:38:58ZengMDPI AGPolymers2073-43602021-04-01138120510.3390/polym13081205Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field ComparisonRuiqi Wang0Riqiang Duan1Haijun Jia2Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100085, ChinaInstitute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100085, ChinaInstitute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100085, ChinaThis publication focuses on the experimental validation of film models by comparing constructed and experimental velocity fields based on model and elementary experimental data. The film experiment covers Kapitza numbers Ka = 278.8 and Ka = 4538.6, a Reynolds number range of 1.6–52, and disturbance frequencies of 0, 2, 5, and 7 Hz. Compared to previous publications, the applied methodology has boundary identification procedures that are more refined and provide additional adaptive particle image velocimetry (PIV) method access to synthetic particle images. The experimental method was validated with a comparison with experimental particle image velocimetry and planar laser induced fluorescence (PIV/PLIF) results, Nusselt’s theoretical prediction, and experimental particle tracking velocimetry (PTV) results of flat steady cases, and a good continuity equation reproduction of transient cases proves the method’s fidelity. The velocity fields are reconstructed based on different film flow model velocity profile assumptions such as experimental film thickness, flow rates, and their derivatives, providing a validation method of film model by comparison between reconstructed velocity experimental data and experimental velocity data. The comparison results show that the first-order weighted residual model (WRM) and regularized model (RM) are very similar, although they may fail to predict the velocity field in rapidly changing zones such as the front of the main hump and the first capillary wave troughs.https://www.mdpi.com/2073-4360/13/8/1205falling liquid filmsPIV/PLIFSPLIFPTVWRM |
| spellingShingle | Ruiqi Wang Riqiang Duan Haijun Jia Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison Polymers falling liquid films PIV/PLIF SPLIF PTV WRM |
| title | Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison |
| title_full | Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison |
| title_fullStr | Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison |
| title_full_unstemmed | Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison |
| title_short | Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison |
| title_sort | experimental validation of falling liquid film models velocity assumption and velocity field comparison |
| topic | falling liquid films PIV/PLIF SPLIF PTV WRM |
| url | https://www.mdpi.com/2073-4360/13/8/1205 |
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