2021
DOI: 10.1063/5.0063049
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Spatio-temporal dynamics and disintegration of a fan liquid sheet

Abstract: The dynamic behavior and disintegration mechanisms of a fan liquid sheet in a quiescent atmosphere are investigated over a broad range of differential injection pressures up to Δp≈70 bar through experiments, proper orthogonal decomposition (POD) and spectral analyses, and linear stability analysis (LSA). By fan liquid sheet, we mean a diverging and attenuating liquid stream emanating from a flat fan nozzle with high velocity. High spatiotemporal resolution backlit images reveal the formation-growth-fragmentati… Show more

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Cited by 8 publications
(3 citation statements)
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“…The change of surface tension and contact angle for liquids with different KGM concentrations was not significant, which was attributed to the low concentration, electric neutrality, and hydrophilic functional groups of the KGM macromolecule. These results at the macroscopic scale align with previous studies. , …”
Section: Resultsmentioning
confidence: 99%
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“…The change of surface tension and contact angle for liquids with different KGM concentrations was not significant, which was attributed to the low concentration, electric neutrality, and hydrophilic functional groups of the KGM macromolecule. These results at the macroscopic scale align with previous studies. , …”
Section: Resultsmentioning
confidence: 99%
“…These results at the macroscopic scale align with previous studies. 29,30 2.5. Contrast Experiments between KGM and Glucose.…”
Section: Physical Properties Of Kgm Solutionmentioning
confidence: 99%
“…In real operating conditions, the weld pool often shows turbulence in the bulk which is difficult to investigate 8 . In the field of turbulence, Proper Orthogonal Decomposition (POD) [11][12][13] is often used to investigate the apparent random vector field representing turbulent fluid flow by decomposing the value vector in spatial modes, which can provide information about the organisation of the flow. The POD method can also be applied to scalar fields like temperature.…”
mentioning
confidence: 99%