2022
DOI: 10.1017/jfm.2022.777
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Hydraulic jump on the surface of a cone

Abstract: This paper addresses several aspects of the axisymmetric flow of a liquid film over the surface of a downward-sloping cone. The study is rooted on a validated computational tool the results of which are interpreted with the help of a hyperbolic time-dependent reduced-order model also derived in the paper. The steady version of the model demonstrates the weakening and ultimate disappearance of the circular hydraulic jump as the cone surface transitions from planar to downward sloping. Mathematically, this evolu… Show more

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Cited by 4 publications
(18 citation statements)
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“…The agreement with the oil data is quite good. That with the water data is less so, although our results are in very close agreement with those of Rojas et al (2010) and Zhou & Prosperetti (2022). We may also note that Hansen et al (1997) stated that the radius of the jump was oscillating for Q greater than approximately 15 cm 3 s −1 (Fr > 1.5) so that the experimental data reported are mean values.…”
Section: Validation Against Numerical Modelssupporting
confidence: 86%
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“…The agreement with the oil data is quite good. That with the water data is less so, although our results are in very close agreement with those of Rojas et al (2010) and Zhou & Prosperetti (2022). We may also note that Hansen et al (1997) stated that the radius of the jump was oscillating for Q greater than approximately 15 cm 3 s −1 (Fr > 1.5) so that the experimental data reported are mean values.…”
Section: Validation Against Numerical Modelssupporting
confidence: 86%
“…We may also note that Hansen et al (1997) stated that the radius of the jump was oscillating for Q greater than approximately 15 cm 3 s −1 (Fr > 1.5) so that the experimental data reported are mean values. Zhou & Prosperetti (2022) noted that the unsteadiness mentioned by Hansen et al (1997) was not observed in their simulation. We also recall that Rojas et al (2010) had to impose the thickness at the edge of the disk as measured by Hansen et al (1997).…”
Section: Validation Against Numerical Modelsmentioning
confidence: 90%
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