2004
DOI: 10.1103/physreve.69.066302
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Three-dimensional simulation of square jets in cross-flow

Abstract: Direct numerical simulations are performed to predict the three-dimensional unsteady flow interactions in the near-field of a square jet issuing normal to a cross-flow. The simulated flow features reveal the formation of an upstream horseshoe vortex system, which is the result of an interaction between the oncoming channel floor shear layer and the transverse jet; the growth of a sequence of Kelvin-Helmholtz instability-induced vortical rollers in the mixing layer between the jet and the cross-flow, which wrap… Show more

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Cited by 37 publications
(24 citation statements)
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References 33 publications
(77 reference statements)
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“…Based on Figure 5 (right), the jet "lifted-off " is more important in the elliptic jet hole case in which the upperdeck vortex pair, promoting the entrainment of the crossflow toward the wall surface, is relatively weak compared to those identified in the other two hole geometry cases. The results reported here are in good qualitative agreement with the experimental studies of Haven and Kurosaka [16], New et al [18], and DNS of Sau et al [11].…”
Section: Resultssupporting
confidence: 91%
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“…Based on Figure 5 (right), the jet "lifted-off " is more important in the elliptic jet hole case in which the upperdeck vortex pair, promoting the entrainment of the crossflow toward the wall surface, is relatively weak compared to those identified in the other two hole geometry cases. The results reported here are in good qualitative agreement with the experimental studies of Haven and Kurosaka [16], New et al [18], and DNS of Sau et al [11].…”
Section: Resultssupporting
confidence: 91%
“…Similar to Sau et al [11], results presented here were taken at an instantaneous dimensionless time unit of t = 18, as the main objective of the study is to visualize the vortex flow structures. Discussions will focus on understanding the underlying flow physics in JICF at different scenarios.…”
Section: Resultsmentioning
confidence: 99%
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“…1). The lateral spacing of 6D was primarily based on an existing numerical of this kind (Sau et al, 2004) and further confirmed by our numerical study on domain influence study.…”
Section: Problem Configurationmentioning
confidence: 71%