2017
DOI: 10.1007/978-3-319-60432-9_5
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An Insight into the Coanda Flow Through Mathematical Modeling

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Cited by 2 publications
(1 citation statement)
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“…For m* > 0.2 it can be observed that the present results underestimate the deflection angle in comparison with numerical predictions of Trancossi and Dumas [24]. One possible explanation for the differences found here can be related with uncertainties introduced by two equations turbulence models, as has been reported in detail in literature reviews [39][40][41]. According to the authors, the RANS-based models have inherent inability to replicate fundamental turbulence processes, which leads to difficulties for the prediction of many base flows, mainly external flows and jets.…”
Section: Computational Model Verificationsupporting
confidence: 54%
“…For m* > 0.2 it can be observed that the present results underestimate the deflection angle in comparison with numerical predictions of Trancossi and Dumas [24]. One possible explanation for the differences found here can be related with uncertainties introduced by two equations turbulence models, as has been reported in detail in literature reviews [39][40][41]. According to the authors, the RANS-based models have inherent inability to replicate fundamental turbulence processes, which leads to difficulties for the prediction of many base flows, mainly external flows and jets.…”
Section: Computational Model Verificationsupporting
confidence: 54%